* Job title: Data Engineer
* Reports to: Data & Analytics Team Lead
* Location: Primarily remote with travel to BCN offices / client sites as and when needed
* Hours: Monday to Friday, 37.5 hours, 9am to 5.30pm, 60-minute lunch
* Salary: Up to £50,000 P/A + benefits

# About us:

BCN Group is a fast-growing provider of digital transformation and IT managed solutions to UK businesses. We provide a full suite of solutions comprising on-premises, hybrid and cloud hosting solutions, Azure cloud migration services, Microsoft product development, application support, voice solutions, data management and hardware sales and maintenance.

You will be joining a business which has grown significantly, has ambitious expansion plans and continues to invest in its transformation projects and its people.

# Focus of the role:

We are looking for a Solutions Developer who is passionate about technology and wants to deliver real improvements for public and private sector clients, in smart and effective ways. The successful candidate will have a desire to develop their skills and want to learn more about wider IT architecture and development enabling them to build a successful career here at BCN in a growing and exciting technology team.

Our people have 3 things in common: curiosity for learning, getting projects done brilliantly and the belief that together we do make a difference!

You will be joining a data and analytics team who are a critical part of the company, whose mission is to help the company and our clients make better decisions through data driven insights.

To achieve this, you will be accountable for the following:

* Building data pipelines using Azure data factory for data ingestion
* Looking after the data integration, data conformity, data integrity and ensure the data structures are designed for future business needs and enhancements
* Ensure that data transformations are well recorded and follow best practices so that it is easily understood by developers and analysts
* Work directly with the business to support various projects and solutions
* Using problem solving skills as challenges arise
* Process mining to scope and deliver solutions that meet agreed User Stories

# Why BCN:

* The opportunity to shape your own future with industry leading training and development and access to our BCN Academy
* Competitive salary and the ability to progress
* 23 days holiday increasing with length of service and the option to buy additional leave
* Hybrid working
* Birthday off
* 2 paid leave days per annum to volunteer and support your local community
* Health cash plan with free access to a confidential Employee Assistance Programme (EAP) supporting bereavement, financial, health and wellbeing, and much more
* Life assurance
* Cycle to work scheme, electric vehicle scheme, tech scheme and retail discounts
* State-of-the-art office with free parking
* Long service gifts to celebrate the milestones
* Beer Fridays, end of month pizza, pool tables (with cross office tournaments if you fancy your chances!), dress down every day, social events such as Summer BBQ, plus more!

# Person, Skills & Experience:

* Confident to work individually on projects as well as part of a team to support roadmap and governance processes
* Data Engineer Certification such as DP-203 is highly desirable
* Strong business-to-technology translation skills for identifying ways to apply solutions to help customers improve performance
* Strong verbal and written communication
* Azure Data Factory/Data Lakes
* SQL server experience (SSIS, SSMS)
* Experience with Data Warehouse solutions
* Python is also desirable
* Understanding of Azure DevOps Pipelines would be advantageous

Python

Azure

Data Engineer

Passport is reinventing cross-border e-commerce logistics as the modern international shipping carrier of choice for eCommerce (customers include Bombas, Native, Ritual, Seed.com). By combining our proprietary asset light network along with technology and customer support, we ensure that consumers around the world receive their packages without the hassle and pain that is typically associated with international shipping.

We’re a growing, ambitious team looking to upend the trillion-dollar international parcel shipping industry through a world-class experience. At Passport, you will have the opportunity to work with some of the biggest e-commerce merchants in the world and think strategically on how to add value to their international business.

# Responsibilities

* Collaborate with your team in creating shared data assets generating visibility into critical business metrics.
* Work cross functionally with our functional teams to develop the insights needed to make important decisions.
* Your responsibilities may look like helping your team with updating data models using dbt, creating data sets, setting standards for organizing data sets and views, conducting ad hoc analyses and data pulls, and creating dashboards from data sets you create.
* Strong familiarity with SQL, dbt, and some experience transforming data warehouse (Snowflake) tables into critical self-serve data artifacts that power impactful analytic use cases (e.g. metrics, dashboards) and empower data consumers. 

# You have many of the following:

* 3-5+ years of experience working with data
* Experience using dbt core or dbt cloud and knowledge of best practices (Required)
* Experience working with data warehouses (Snowflake) (Required)
* Strong Proficiency in SQL and experience working with relational databases (writing optimized SQL, working with views, using CTEs, etc)
* Solid understanding of dimensional modeling/data warehousing concepts and ETL processes
* Experience working with different file formats (e.g. csv, excel, google sheets, json) Eager to promote a culture of knowledge sharing and collaboration
* Great organizational skills – you understand the importance of documenting and maintaining internal knowledge base articles and resources
* Curious and eager to learn new things - even if it’s outside of your daily responsibilities
* Accountable - You take ownership of your work, the answers you provide to others, and learn from your mistakes
* Resourceful - You might not have all the answers, but you know how to find them
* Ability to work independently, exercise critical thinking, and communicate complex problems and recommendations clearly and concisely to different audiences

# Highly Preferred but not required:

* Experience with Fivetran and best practices
* Experience using dbt with continuous integration (CI) workflow
* Some familiarity with bi tools (e.g. Tableau)
* Experience in at least one programming language (e.g. Python) and associated analytics libraries for data analysis (e.g. Pandas, matplotlib, numpy, etc.)
* Experience working in JiraExperience with github
* Ability to translate project requirements into a set of technical sub-tasks that build towards a final deliverable
* Location: Latin America (Argentina, Peru, Chile) Remote

# What you'll get...

* Competitive cash and equity packages
* Travel & Expenses funds for company events
* 100% remote work environment #LI-Remote
* Flexible PTO
* Themed happy hours - bring on the Zoom comedians, pop-a-shot contests, and sip ’n paints!
* Quarterly team (virtual) gatherings and annual team offsites
* Learning & Development Fund for upskilling or products to improve your day-to-day work life
* Teammates around the world in 8 different time zones!

Analytics

Snowflake

South America

Analytics Engineer

We are looking for its first Senior Data Analyst to join the team and help build out a new Business Intelligence function in the company. You will help the business uncover growth opportunities, better understand our customer base, and improve the team’s ability to solve large-scale problems through automation. You will be responsible for maintaining and enhancing our data & analytics stack, including data warehouse (Snowflake, Fivetran) and business intelligence platform (PowerBI), and partner with teams across the organization to uncover valuable insights and solve their data needs. You are able to distill complex data into clear, articulate insights and stories.

# Responsibilities:

* Collaborate cross-functionally with Finance, Marketing, Product and Sales & Operations to gather and refine data requirements, understand the question that needs to be answered, and devise analytics solution
* Example questions you’ll help the team to answer and automate reporting for: What are the best selling bundles? What percentage of our orders are returned vs exchanged? What merchandising strategy is most effective at acquiring customers vs retaining them? Which customer segments are most valuable based on what they’ve purchased? How do international customers behave vs U.S customers?
* Manage our business intelligence platform PowerBI, including data modeling, defining internal standards for style, building/maintaining automated reporting, and educating end users on best practices for data analysis.
* Ensure the data warehouse and infrastructure is up to date and working through light data engineering
* Identify areas for optimization, automation, and growth through data, presenting recommendations to leadership team
* Handle ad hoc reporting and analytics requests while addressing long-term stakeholder goals and ensuring we’re solving the right problems
* Train individuals and teams on how to use their dashboards and reports while empowering them to use data to drive their decisions

# Requirements:

* 5+ years of experience in a data & analytics role with experience in business intelligence tools like PowerBI
* Working knowledge of data engineering to maintain data warehouses like Snowflake
* Strong knowledge of SQL and data manipulation skills, proficient in query development
* Curious and resourceful with a natural ability to solve problems and seek new information
* Excellent communication and presentation skills to storytell and influence others
* Analytical, detail-oriented, and organized, with the ability to multitask and reprioritize projects frequently
* Able to partner with different stakeholders across the organization and translate their needs into technical requirements
* Passionate about our mission to redefine body standards

PowerBI

Senior Data Analyst

Super Dispatch is looking for a Data Analyst who is passionate about using data to uncover valuable insights and drive business growth. The Data Analytics team focuses on automating manual reporting processes, delivering actionable insights for our internal business stakeholders, and delivering enterprise-level reporting for external clients. We are seeking a Data Analyst with strong SQL abilities to provide data-driven insights that will drive strategic decision making across the organization.

# Responsibilities:

* Transform data into actionable information through proficient SQL querying (PostgreSQL).
* Collaborate cross-functionally with various functions across the organization to understand requirements and objectives.
* Interpret data to identify trends, patterns, and opportunities while presenting insights in a clear and concise manner to stakeholders.
* Establish and cultivate trust with internal stakeholders, acting as a consultative analyst and digging into the “why” to determine solutions.
* Plan the data structure needed through data mockups, and write queries to create published data sources for reporting uses.
* Understand and document the meaning behind the data to accurately leverage the data for business decision-making.
* Deliver ad-hoc reports and collaborate with other members of the Data Analytics team to streamline and/or automate processes to ensure data lineage, consistency, integrity, and transparency.
* Utilize software (Notion, GitHub, Jira) to track project workflow and changes.

# Candidate Profile:

* Minimum 3+ years using SQL Queries (i.e. Amazon Redshift, Snowflake, BigQuery), and writing custom calculations
* Minimum 3+ years of experience in Data, Data Analytics, Business Intelligence with experience in collecting, interpreting and analyzing data, as well as developing data visualizations
* Experience using project management and version control tools (Notion, GitHub, Jira etc.)
* Analytical mindset - you are able to structure and process data and draw insightful conclusions from it
* Team player - you have a collaborative mindset and the ability and build positive relationships with individuals across the organization
* Business acumen – you are knowledgeable about key business topics and have the confidence to take action informed by business goals and initiatives.
* Highly motivated - you are a self-starter with a strong work ethic
* Results Driven - you take ownership, drive progress through strategic action, and focus on achieving the end result

# Growth Plan:

Within 1 month, you’ll...
* Graduate from Super Dispatch’s company-wide new employee onboarding program. You’ll get caught up with who we are, how we work, and what we're building.
* Get access to our GitHub repo and additionally tools, familiarize yourself with our current repo queries and current live dashboards.

Within 3 months, you’ll...
* Establish and cultivate trust with internal stakeholders.
* Lead query planning and create your first published query to GitHub.
* Train on query QA process.
* Document your work in Jira and Notion.

Within 6 months, you’ll...
* Be the go-to person for SQL on the Data Analytics Team and assist other team members with their queries.
* Revisit previously created queries to identify performance improvements.
* Increase the velocity of Data Analytics Team’s ability to respond to analytical requests.

# What We Do:

Our mission at Super Dispatch is to transform the world of vehicle shipping by becoming the leading platform for moving cars. For too long, the auto transport industry has been left without effective tools and instead given outdated processes and disconnected systems. The Super Dispatch platform is a one-stop-shop for everything Carriers and Shippers need to move cars faster, smarter, and easier. Backed by cutting edge technology and best-in-class software, Super Dispatch is the advanced auto transport experience taking carriers and shippers into the future.

# Who We Are:

Our team is comprised of highly motivated professionals with a passion for solving big problems with technology. Together we've created a people-first culture where we welcome diversity of backgrounds and ideas. Our core values are built around learning, growing, evolving, and continuous experimentation. We believe and practice taking bold risks. We embrace failure as a lesson. We celebrate wins and milestones. We put our team and customers first. We are committed to supporting each other and helping each other grow on this journey.

# Compensation:

The salary range for this position is $70,000 - $85,000 per year.

# Summary of Benefits:

* Stock options
* Unlimited Vacation (PTO)
* 12 weeks of paid parental leave
* Fully remote role
* Growth opportunities
* Gym membership/wellness stipend
* Equipment provided

Redshift

Data Analyst

The Mobalytics' mission is to create the ultimate gaming companion, providing powerful tools that enable all players to step up their game and be their best selves. In the last four years, we have gone from just servicing League of Legends players to empowering players of different genres through Teamfight Tactics, Legends of Runeterra, and Valorant. We’ve achieved a lot but there is so much we can accomplish with the right talent onboard. We need razor-sharp, experienced, autonomous, and responsible professionals who can help us grow and evolve from a small adventurous party into a disciplined raid team that can conquer any challenge.

As a Data Analyst, your insights and analysis will power the very core of our product. Your expertise with data analysis tools along with your deep domain knowledge of games will allow you to connect the dots. Generating meaningful analyses that impact player performance and behavior is our goal. If you love all sorts of games and find yourself thinking about how it all fits together, then you are definitely in the right place with us.

# Requirements

Your Technical Skill Set:
* At least 3 years of experience working as a Data Analyst/Scientist, preferably in a high-growth startup environment.
* Working knowledge of SQL.
* Experience working with BI tools, especially Mixpanel.
* Preferably experience with GCP stack, in particular with BigQuery.
* Ideally, some experience solving classical data science tasks - clustering, classification, etc.
* Being able to ask the right questions and derive meaningful insights from data.

Would be a plus:
* You have an “acceptable” level of English - we're not expecting Full Proficiency or requiring any certificates, but you must be able to communicate with the team.
* We’d love it if you are someone who plays the games we create our tools around currently but are open to people who love games and the tools that players use to get better at them. No, we don’t care if you are Bronze or Diamond.

# What you need to do if hired:

* Collaborate with product, engineering, and marketing teams to help them make data-driven decisions.
* Get meaningful insights out of the data and be able to present it to the team.
* Understand the product well enough to cover all aspects of it with the necessary tracking.
* Create requirements for engineers to implement.
* Control implementation process and results.
* Monitor the health of product tracking implementation to ensure that it's working as expected and data is correct.
* Create dashboards and reports for key areas of the business.
* Prepare reports for the executive team.
* Help teams launch A/B tests and assess their outcomes.
* Be the ambassador for data-driven culture within the company.

# What we offer:

* Fully Remote Job - we're a remote company from day one.
* Flexible working hours - except for scheduled meetings, we don’t have a working schedule or the required amount of working hours. Mobalytics is not about time spent on achieving results but about results themselves.
* $2,000 Home Office Budget after a trial period.
* Salary paid in USD, no matter where you are in the world.
* Equity Stake in the Company.
* 2 weeks of vacation + 2 more weeks company-wide vacation in Dec-Jan.

BigQuery

# Responsibilities

* Own the maintenance and creation of optimal data pipeline infrastructure 
* Create and work with large complex data sets that allow associated teams to analyze all aspects of the business
* Design and implement internal process improvements (optimize data delivery, manual processes, scalability infrastructure, etc.)
* Help to design and create data analytics tools that can support Executive, Product, Data, and Design teams to make actionable recommendations
* Implement secure and efficient data storage and data access infrastructure for associated teams

# Requirements

* Advanced SQL knowledge, along with experience in AWS Cloud services, and tools like Airflow/DBT/Google Big Query/etc
* Hands-on experience with programming large applications in languages such as (Python, Java, C++, Scala, etc) 
* Experience with NoSQL datasets using MongoDB/DocumentDB etc
* Experience building “Big Data” pipelines, architectures, and infrastructures
* Strong analytic skills working with unstructured datasets 
* Experience with root cause analysis with internal and external data sets to answer business questions and provide feedback for improvement
* Organizational and adaptable to a fast-moving environment
* 5+ years of experience, with a bachelor's in Computer Science, Statistics, Data Science, Information Systems or similar

Desirable
* Experience in gaming 
* Experience working on a distributed team spread across several time zones

# What We Offer

* Fully remote work, with a yearly company offsite
* Experience working with gaming veterans who’ve created titles with a gross aggregate revenue of over $10B USD
* Unlimited PTO
* Experience creating a new IP with franchise potential

Airflow

NoSQL

As a Data Analyst you know that hindsight may be 20:20 but insight… well, that’s worth its weight in gold. We’re looking for someone to own player insights at FuturLab, using this data to highlight opportunities and guide decisions. You’ll be excited to shape the way we use data as a studio from the ground up by establishing and advising on best practices.

You’re naturally inquisitive; always interested in what the data is really saying, rather than working off assumptions. By providing accurate and actionable data insights, you’ll make a valuable impact across a range of areas, such as game design, marketing and player engagement.

As a remote-friendly studio, we are pleased to offer remote working wherever possible. This role can be fully remote, based out of our sunny seaside office in Brighton or a mixture of both!

At FuturLab, we believe patience is as good for our games as it is our people. Therefore, we are a no-crunch studio, with a focus on wellbeing. You can read more about life at FuturLab .

# Our ideal candidate will be:

* Naturally collaborative. You’ll relish speaking regularly with a variety of teams to investigate queries, solve problems and make improvements where needed.
* A superb communicator. You know that people don't always know what they want, or ask for the right things. You can help them clarify what they need, and then make it happen. You can get your point across to game designers, producers, programmers, and executives, adapting the way you communicate from spread sheets and detail, through to PowerPoints and the bigger picture as needed.
* A data whisperer. Okay, maybe the numbers don’t actually speak to you, but you are a pro with statistics, probability and quantitative analysis methods.
* Experienced in using data to improve games. You’re adept at using player behaviour data to help make better decisions and improve products and used to applying data-backed analyses in games to produce insights that help improve design.

# Benefits

* Competitive salary dependent on experience + performance related bonus
* Generous pension scheme
* Private health insurance
* Enhanced Maternity and Paternity leave
* Free remote therapy service via 
* 21 days holiday, 8 bank holidays (plus our own FuturLab bank holiday) + 2 duvet days
* Extra days off over the Christmas period
* Bike2work scheme
* Free eye test + standard glasses for display work
* Staff referral bonus
* Regular social activities

Excel

PowerPoint

TrustedHousesitters is a global pet care travel exchange; a two-sided digital marketplace of owners and sitters that’s growing rapidly through our unique combination of product, proposition, marketing and community building. Our small but mighty team has a collaborative and supportive culture. We’re passionate about pets, people and travel; continuously searching for the win, win, win that makes everyone’s lives easier, travel kinder on the pet and enables a more sustainable travel footprint.

We're fully in scale-up mode and have grown to be the only global platform of its kind. In the last few years, we’ve consistently achieved high year-on-year growth. Thanks to strong tailwinds in the pet and travel industry in the post-Covid world, 2022 has been our strongest year so far. We facilitate the perfect match between pet owners who want to leave their pets in safe hands and pet sitters looking to enjoy the companionship of pets whilst they travel.

We've recently made the transition to a remote-first business, however we've retained a HQ in central Brighton which is available for collaborative working and in-person meetups.

# The role

We are looking for a passionate analyst to join a growing Analytics & Insight team. The successful candidate will turn data into information, information into insight and insight into business decisions.

Dealing with large data sets from various sources, you will be generating insight by analysing web, app and member data. Whether you are generating reports, dashboards or larger research projects you will be providing various teams with the information they need to improve their processes and make critical decisions. As well as fielding data requests from around the business, analysts sit within a Product squad to support that Product roadmap with analysis and insight. You will use various tools to extract data from standard web analytics tools like Google Analytics, or use SQL to extract customer data from our data warehouse. You will also be dealing with the tag management and event tracking required for our customer data platform, Segment.

Salary for this role is up to £45k DOE

# Requirements

* Ideally at least 1 year of experience working as an analyst, though we are also willing to consider candidates with other relevant experience in an academic environment.
* Demonstrable ability to produce high-quality, automated reports and dashboards
* Expertise regarding data models, database design, data mining and segmentation techniques
* Knowledge of, and experience working with, SQL, BI tools, and web analytics packages (Google Analytics, Amplitude etc)
* Some knowledge of, or an interest in, statistics and data science (Python, R, etc)
* Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
* Adept at writing queries, producing reports and presenting findings
* An eagerness to learn how to use new systems and analytics tools
* Qualifications in Mathematics, Economics, Computer Science or Statistics would be useful but are not a requirement
* Interpreting data, analysing results and providing reports and dashboards
* Acquiring data from various sources and QA/maintaining those sources
* Identifying, analysing, and interpreting trends or patterns in complex data sets
* Presenting insight back to the business, enabling data driven decisions
* Working with a Product Manager to gather data requirements as new features are developed and tested
* Locating and defining new process improvement opportunities

# Benefits

In addition to a competitive salary and bonus, we offer a range of benefits, including:
* Fully remote work
* Discretionary 10% annual bonus scheme
* 25 days holiday annually
* Pension scheme: 5% from you as an employee and 3% from TrustedHousesitters
* Premium TrustedHousesitters pet owner and sitter membership which includes benefits like airport lounge passes, sit cancellation insurance, and home and contents insurance for sits
* Our team have an unlimited housesitting allowance, can work remotely from their sits, and TrustedHousesitters will contribute up to £500 per year towards travel costs
* £200 annually towards home office equipment
* Monthly working from home stipend
* Macbook
* Find a rescue pet to join your family and we’ll cover the adoption fees, as well as paternity to help any pet settle into their new home
* We host a quarterly all expenses paid meetup, and will fund team events (remote or in person) throughout the year
* We can cover costs of personal development resources, and have regular time set aside for personal development
* Health Insurance plan, including dental (Bupa)
* Brighton Bikeshare
* Recruitment Referral Bonus
* Access to Spaces Locations across the globe

Statistics

We’re a commercial motor insurer on a mission to save people time and money. From nationwide taxi fleets to self-employed scooter delivery riders, our customers are our driving force. We work hard to make insurance simple, affordable and stress-free for every one of them.

When we started back in 2016, we knew that traditional insurance held businesses back. It was too complicated, too time consuming, and it wasn't priced fairly. So we set out to change that, building insurance products to empower professional drivers throughout the UK, Europe and beyond.

So far, we’ve raised over $200 million in funding, and we’re proud to hold the title of the UK’s first insurtech Unicorn (a private company valued at over $1 billion). We’ve grown from a scrappy start-up into an industry changing organisation. And there’s plenty more to come.

# How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid.

It’s not “hybrid working” as you might know it – we don’t ask you to work from the office on set days. It’s a flexible approach that allows every Zegon to be their best.

Home can still be your primary place of work, with team days and events at our central London office when we need to get together. We cover the costs for all company-wide events (3 per year), and provide a separate hybrid contribution to help pay towards travel costs for our monthly pizza socials and other team get-togethers.

We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve that right balance between work and life.

# Overview of team

The BI team’s mission is simple: relevant and reliable information, aimed at the right people, and delivered at the right time. We facilitate rapid and effective decision making that is supported by excellent data. We’re a small and dynamic team, responsible for every aspect of data: delivery, integrity, ETL, problem formulation, metric definition, reporting, and analytics.

# Purpose of role

We’re seeking a passionate Senior Analytics Engineer with a strong commercial sense and a natural curiosity for data. You don’t just churn out reports - you turn data into actionable information that can be used to support our key strategic initiatives. You have a strong technical background in data modelling and analytics engineering and you’re comfortable working autonomously in an unstructured environment.

# What you will be working on

* Gathering requirements from stakeholders and using them to design data solutions
* Documenting challenges, choices, and outcomes in a clear and concise way
* Building and maintaining models and exposures in the data warehouse using dbt, Snowflake, and Looker
* Wrangling data from multiple third-party sources, e.g. Salesforce, Amplitude, Segment, Google Ads
* Supporting business users across the company and enabling a culture of self-service through our BI tools
* Creating secure, efficient data shares for external partners, using S3, SFTP and Snowflake Data Sharing
* Collaborating with the extended data team to ensure quality, reliability, and stability of our data platform
* Contributing to the evolution of our data warehouse and tooling

# What you will need to be successful

* At least 3 years’ experience in a similar role
* Experience in modelling data for warehousing and visualisation tools
* Experience with modern data platform tools such as Snowflake, dbt, AWS, GCP, Looker, Tableau, Airflow, etc.
* Experience of source control tools like git
* Strong problem-solving skills with good attention to detail
* A data quality and testing mindset
* Advanced SQL skills are essential, and previous experience in dbt and/or Looker is preferred
* Experience in Python, especially in a data or analytics engineering context, would be advantageous
* Experience in the insurance sector would be beneficial
* Other key attributes such as; business acumen, ability to translate a business requirement into a data driven solution, adaptability, attention to detail, discipline, efficiency, focus, initiative, open mindedness, optimism, perseverance, pragmatism and self-sufficiency.

# What it's like to work @ Zego

Zego has a truly international and inclusive team, unified by great ideas and collaborative thoughtfulness. Our people are the most important part of our story and everyone plays an essential role in our journey. We look for people who have expertise, enthusiasm and who are motivated by change. There’s plenty of room to learn and grow, as part of our ongoing training programmes or directly from other experts. You’ll work alongside a talented group of people who respect each other's differences and seek to understand fresh perspectives.

# Benefits

We reward our people well. Join us and you’ll get a market competitive salary, private medical insurance, company share options, generous holiday allowance and a whole lot of wellbeing benefits. And that’s just for starters.

Senior Analytics Engineer

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges. We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

# Requirements

* 8+ years of overall industry experience specifically in data engineering
* 5+ years of experience building and deploying large-scale data processing pipelines in a production environment.
* Strong experience in building ETL data pipelines and analysis using Python, SQL, and PySpark.
* Creating and optimizing complex data processing and data transformation pipelines using python. Python hands-on expertise is a must-have. AWS/ Azure experience is good to have.
* Design, develop, test, and deploy data integration solutions seamlessly to connect with the Enterprise Data Platform
* Deep understanding of data warehousing concepts, database designs and big data platforms and associated tools.
* Working with a wide range of data sources and intermediate expertise in SQL and PL/SQL(optional)
* Ability to work with a global team, playing a key role in communicating problem context to the remote teams, stake holders and product owners.
* Work in a highly agile environment
* Excellent communication and teamwork skills.
* Bachelor's degree in Computer Science or closely related fields

# Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

605 is an independent TV measurement and analytics firm that offers advertising and content measurement, full-funnel attribution, media planning, optimization and analytical solutions. Comprised of engineers, analysts, data scientists, media experts and marketing strategists, 605 forges new paths using groundbreaking innovations that set industry standards for audience targeting and measurement.

We are looking for an experienced Data Scientist to help develop solutions, codes and reports which solve the questions most pressing to the TV and media industry. Being able and excited to analyze large and messy data is part of the job, as is having the skills to flexibly work on a variety of tasks to maintain project success. As a Data Scientist you will be responsible for: coding, improving methods and efficiencies across the team, developing reports, project management, and cross team collaboration.

A Data Scientist’s day-to-day tasks would include:
* Coding original R scripts as well as optimizing current scripts for the large majority of your day
* Applying or adapting methods to new problems, and developing new tools as needed
* Working independently or collaboratively on large and complex data science problems and analyses
* Leading client projects throughout the duration of their flight and delegating tasks accordingly
* Communicating with internal stakeholders and clients to develop analytical solutions within client context
* Working with client/sales teams to build new business opportunities

# Requirements

* Bachelor's degree in a quantitative field
* 5+ years experience (or postgraduate degree(s) plus experience) in a comparable field
* 3+ years of coding and specifically 1+ years R coding
* Experience writing stable code that can be automated into larger product offerings
* Solid machine learning and/or statistical skills and intuition
* Solid understanding of sampling, weighting, biased data, overfitting, ensemble methods, survey methodology, and causal inference
* Intellectual flexibility to adapt existing tools, algorithms, methods to new needs
* Strong ability to communicate about data structure and characteristics, analytical techniques, statistical findings, and solutions to a variety of audiences using data visualization and reporting tools such as ggplot2, matplotlib, Shiny, etc.
* Experience analyzing large and messy data
* Strict integrity, able to work with confidential, private, and high-value client information
* Can balance workload across a variety of different projects over the course of a week
* Find stable threads to explore within amorphous and changing business problems
* Excellent written skills to translate results to a variety of technical and non-technical audiences through white papers; reports; and internal, external, and client-facing presentations

# Preferred Skills:

* Proficiency with SQL
* Previous experience with Databricks (or other distributed computing environments) and familiarity with Spark SQL and Scala
* Master's degree in a quantitative field
* Experience working in analytics in the entertainment industry or in television or digital marketing
* Experience with the design and analysis of experiments
* Analysis of high-dimensional time series or event stream data
* Adapting, implementing, and scaling various machine learning techniques

# Benefits

* Comprehensive medical, dental and vision insurance for employees and their families
* Company-paid life insurance, short and long term disability
* 401k with match
* Pre-tax flexible compensation plan for medical, transit, parking or dependent care expenses
* Generous vacation, personal and sick days
* Remote work model with office space in NYC and on Long Island
* 100% paid parental and family caregiving leave
* Educational reimbursement program
* A kitchen stocked with sodas, snacks, yogurt and other goodies
* A tight-knit startup community who likes to eat! We celebrate everyone’s birthdays, have frequent team lunches, and do events in and out of the office
* 605 is an active participant in conferences

Machine learning

Data Scientist

At Tydo, you’ll get the benefits of working directly in the consumer product world while also tackling exciting data visualization and science problems. We are meeting-lite, lean, focused, and hungry. We solve complex problems with boring solutions and build products that benefit the customer over all else. We enjoy working with each other and are excited to help Brands and their Partners grow.

We are a data first company; we load it, transform it, and tell stories with it. We’re backed by Founder’s Fund, Greylock Partners, YCombinator and top-tier eCommerce and fintech founders.

# About the Role

We are seeking a skilled Data Scientist with outstanding SQL skills to join our Analytics team. You'll play a pivotal role in our company's success by closely collaborating with top D2C Brands and Partners to create customized reporting solutions. In this role, you will leverage your expertise in data analysis, modeling, and visualization to extract insights and help customers grow their businesses. The ideal candidate possesses strong communication skills, enabling them to effectively understand client needs and present actionable insights to a diverse range of stakeholders, ultimately shaping the future growth and success of Tydo and the D2C ecosystem.

# Why the Role Is Unique

Model Complex, Real-World Problems - The highest impact data products for modern D2C businesses arise from where discrete data are joined. In this role, you’ll leverage the Tydo data platform to derive complex insights from services that businesses rely on to operate. As a data expert, you’ll also have the opportunity to research and implement solutions on novel metrics and models.

See Your Impact - You will work directly with ecommerce and product leaders in companies that are revolutionizing the consumer landscape. Unlike traditional Data Science roles, you’ll see firsthand how Brands and Partners rely on your modeling to grow their business.

Combination of DTC + SaaS - You get the best of both worlds: B2C and B2B. We aren’t your typical SaaS company in that we are catering to people who understand how to market to consumers REALLY well. So we get to be experts in both.

Inside View of Leading Companies - This role is an interesting way to get an inside view of strategies from leading DTC companies. You will get to learn from the leaders, understand trends across the industry, and become a knowledge expert in growing industries like DTC, e-commerce, analytics, performance marketing and machine learning.

# Responsibilities

* Collaborate closely with D2C brands and partners to understand their specific data and reporting requirements.
* Develop, implement, and maintain customized reporting solutions built with SQL and Python that address client needs and drive data-driven decision-making.
* Apply statistical modeling techniques to uncover hidden patterns, trends, and insights that inform business strategies.
* Create visually appealing and easy-to-understand data visualizations and dashboards for clients, including technical and non-technical stakeholders.
* Stay up-to-date with industry best practices, emerging technologies, and trends in data science, ensuring our solutions remain competitive.
* Work cross-functionally with our Product, Engineering, and Data teams to help drive data product architecture and strategy.

# About You

* 2-4 years of experience in an analytical role, having worked in a related area such as operations, finance, customer acquisition or retention.
* B.A./B.S in Math, Statistics, or related quantitative discipline.
* Located in Western US Time zone. Big plus if in West Los Angeles.
* A strong background in quantitative analysis, specifically in advanced modeling techniques to solve business problems in operations and finance, such as forecasting demand, inventory planning, and LTV and cohort analysis.
* Advanced SQL knowledge (window function, CTE, etc) as well as applied experience of statistical analysis techniques in a related field, such as financial modeling, customer segmentation, and working with discrete data sets from core business services
* You’re a strong analytical thinker with experience working with large datasets, including statistical analyses, data visualization, data mining, and data cleansing/transformation.
* You have strong project management skills and a sense of ownership over your work including monitoring and maintenance.
* You have excellent problem-solving skills and the ability to get up to speed on complex systems, break down problems, and develop rigorous quantitative POVs very quickly.
* A true self-starter, comfortable working in a fast-paced environment, managing your own priorities and adapting where challenges and opportunities are commonplace. You are enthusiastic about remote work.
* Advanced Data visualization skills in Looker or similar product is a plus.

Our team is now looking for a driven Data Engineer with strong analytical and problem-solving skills, who is self-motivated to become an expert in data services and our company’s technology products. 

We are looking for our Data Engineer to work ideally on-site in Spain (Madrid or Barcelona) but, alternatively, work in other company locations within the EU or remotely is possible.

As our Data Engineer you will combine and organize the raw data available from multiple different sources as well as build and maintain a system and pipeline for analyzing and reporting on this data. You will work with both the Technical Solutions and Analytics Teams to optimize the databases available and improve the architecture in order to enhance data flow and allow for complex analysis for different company functions. To be successful in this position you need to be a team player who thrives in a fast-paced work environment, and is comfortable making decisions independently.

# Role Responsibilities

* Analyze and organize raw data
* Combine raw information from different sources
* Create and maintain optimal data pipeline architecture
* Assemble large, complex data sets that meet functional / non-functional business requirements
* Prepare data for prescriptive and predictive modeling
* Build algorithms and prototypes
* Explore ways to enhance data quality and reliability
* Develop analytical tools and programs
* Collaborate with project managers, technology team members, and upper management

# Role Requirements – Knowledge, Skills and Abilities

* Excellent English communication skills (both written and verbal)
* Advanced working SQL knowledge, experience working with relational databases, query authoring and working familiarity with a variety of databases
* Technical expertise with data models, data mining, and segmentation techniques
* Strong analytical, problem-solving, and reasoning skills

# Role Requirements – Education and/or Experience

* Minimum Bachelor’s degree in Computer Science, or its equivalent
* Background in preparing data for analysis, KPI definition, and reporting
* Experience with scripting languages (e.g. Python, Java, C++)
* Experience hitting project deliverable dates on tight schedules and within a defined scope
* A successful history of manipulating, processing and extracting value from large disconnected datasets

# Preferred Role Requirements

* Knowledge or proficiency in BigQuery
* Knowledge or proficiency in Knime
* Knowledge or proficiency in AWS cloud computing

Europe

Dealer Inspire (DI) is a leading disruptor in the automotive industry through our innovative culture, legendary service, and kick-ass website, technology, and marketing solutions. Our mission is to future-proof local dealerships by building the essential, mobile-first platform that makes automotive retail faster, easier, and smarter for both shoppers and dealers. Headquartered in Naperville, IL, our team of nearly 600 work friends are spread across the United States and Canada, pushing the boundaries and getting it done every day, together.

DI offers an inclusive environment that celebrates collaboration and thinking differently to solve the challenges our clients face. Our shared success continues to lead to rapid growth and positive change, which opens up opportunities to advance your career to the next level by working with passionate, creative people across skill sets. If you want to be challenged, learn every day, and work as a team with some of the best in the industry, we want to meet you. Apply today!

Dealer Inspire is a CARS brand. CARS includes the following brands: Cars.com, Dealer Inspire, DealerRater, FUEL, CreditIQ and Accu-Trade.

Cars.com is one of Chicago’s original tech companies. Our online platform makes it easier for consumers to shop for, sell and service their cars. With our expert content, mobile app features, millions of new and used vehicle listings, a comprehensive set of research tools and the largest database of consumer reviews in the industry, Cars.com offers innovative products to connect consumers with dealers across the country.

Data is the driver for our future at Cars. We’re searching for a collaborative, analytical, and innovative engineer to build scalable and highly performant platforms, systems and tools to enable innovations with data. If you are passionate about building large scale systems and data driven products, we want to hear from you.

# Responsibilities Include:

* Build data pipelines and deriving insights out of the data using advanced analytic techniques, streaming and machine learning at scale
* Work within a dynamic, forward thinking team environment where you will design, develop, and maintain mission-critical, highly visible Big Data and Machine Learning applications
* Build, deploy and support data pipelines and ML models into production.
* Work in close partnership with other Engineering teams, including Data Science, & cross-functional teams, such as Product Management & Product Design
* Opportunity to mentor others on the team and share your knowledge across the Cars.com organization

# Required Skills

* Ability to develop Spark jobs to cleanse/enrich/process large amounts of data.
* Experience with tuning Spark jobs for efficient performance including execution time of a job, execution memory, etc.
* Experience with dimensional data modeling concepts.
* Sound understanding of various file formats and compression techniques.
* Experience with source code management systems such as Github and developing CI/CD pipelines with tools such as Jenkins for data.
* Ability to understand deeply the entire architecture for a major part of the business and be able to articulate the scaling and reliability limits of that area; design, develop and debug at an enterprise level and design and estimate at a cross-project level.
* Ability to mentor developers and lead projects of medium to high complexity.
* Excellent communication and collaboration skills. 

# Required Experience

* Software Engineering: 3 - 5 years of designing & developing complex, batch processes at enterprise scale; specifically utilizing Python and/or Scala. 
* Big Data Ecosystem: 2+ years of hands-on, professional experience with tools and platforms like PySpark, Airflow, and Redshift.
* AWS Cloud: 2+ years of professional experience in developing Big Data applications in the cloud, specifically AWS.

# Preferred:

* Experience working with Clickstream Data
* Experience working with digital marketing data
* Experience with developing REST APIs.
* Experience in deploying ML models into production and integrating them into production applications for use.
* Experience with machine learning / deep learning using R, Python, Jupyter, Zeppelin, TensorFlow, etc.

Spark

Big Data

# Responsibilities

* Evaluate and analyze statistics and trends;
* Extract data from CIMS or other databases supported by OMI to produce reports;
* Uses various query software tools to produce finished reports, statistics, and/or graphic information reflective of the subject matter;
* Analyze and evaluate data extracted for the purposes of quality assurance, quality control, and data integrity;
* Prepare procedures manuals, user guides, and technical documentation, to include but not limited to, report development documentation;
* Prepare written analyses and recommendations for the COR;
* Adhere to established procedures in the registration of reports in Business Objects Enterprise for testing and production;
* Post PDF versions of selected reports to the OMI Intranet and becoming familiar with the structure and operation of the website;
* Develop new reporting tools, views, and interfaces;       
* Train users in new applications, reporting tools or system features;
* Maintain daily work reports; and
* Manage frequent contact with the COR and other Civil Division personnel.

# Qualifications

* An undergraduate degree, preferably in computer science or management information or equivalent experience, i.e., 4 years of progressively more responsible experience in a professional analytical occupation working with relational databases for the purposes of data extraction;
* Proficient in extracting data from relational databases using various query software tools, graphic displays for data presentation, database tools, and spreadsheet software;
* proficient and experienced using SQL, T-SQL, Crystal Reports 2016, and Microsoft Access;
* Experience using HTML, ASP, and Visual Basic;
* Able to produce finished reports containing analyses, graphics, and recommendations;
* Experience using computers, including email, Word and Excel; 
* Excellent data analysis skills;                
* Able to work independently;
* Excellent written and effective oral communication skills; and
* Experience in a legal environment.

At Netlify, our Data & Insights team is a core part of the go-to-market strategy. We have a passion for data, are strategic partners to the business that define critical analytical problems, and drive data-driven recommendations using narratives and visualizations.  We’re remote-first and are distributed across North America.  Joining our team is a unique opportunity to work with some of the smartest, most motivated, and kindest people in the industry.  We are looking for doers and builders, people who like to roll up their sleeves and get things done.

# What You’ll Do:

As a Senior Data Analyst, you are a member of a team of data-driven influencers, setting the standard for how data and analytics are used at Netlify, and inspiring our product and marketing teams to action.  If you’re excited about researching customer behavior and market trends, analyzing product data, and working side-by-side with Marketing and Product Management leadership to inform and build better solutions that will delight our customers, this is a role for you!

* Work closely with leaders across product and marketing to support and implement high-quality, data-driven decisions.
* Partner with stakeholders to understand their business needs; become an expert in translating these needs into specific analyses with actionable insights
* Advocate for improvements to data tracking, quality, and performance
* Be a driving influencer on the use and application of analysis; deliver what’s needed, and show what’s possible. In your analysis, you’ll use multiple data sources to discover what is going well for our customers, where we can improve, and what to build next.
* Conduct quantitative analysis of user behavior to uncover issues or opportunities to improve our customers’ experience
* Inform the product strategy via outcomes of tests and experiments
* Operate with a high degree of autonomy and will benefit from the support of the Data & Insights Team — sharing ideas and debating approaches.  You will also mentor, coach, and lead other data analysts by providing feedback that helps them deliver more effective analyses and develop their careers.
* Define (or redefine) leading indicators of success for Product and Marketing. Serve as the expert for these metrics by understanding how data collection is instrumented in the product and marketing systems, how it flows through our ETL pipeline and is aggregated, and how metrics are defined in our analytics projects.
* Construct the core dashboards, visualizations, and analyses to help stakeholders monitor business health and make better decisions
* Perform ad hoc analyses into user behavior to inform specific, near-term experiment designs or product decisions, or long-term product strategy
* Partner with Data Infrastructure and Platform team,  engineering, and other internal operations teams to enable a high level of data integrity, consistency, and clarity across cross multiple internal databases and reporting systems

# What You'll Bring: 

* 5+ years of relevant experience with a heavy quantitative, analytical focus
* A history of supporting Product led Growth and Marketing stakeholders and influencing their decision-making with data
* Demonstrated ability to work with large datasets; particularly data mining, manipulation, and exploration
* Proficiency in writing performant, complex SQL queries combining multiple sources of data
* Some high-level exposure to analytical development tools such as Amplitude, Data Visualization tools, Git, dbt, and Snowflake as well as data analytics or statistical tools such as R or Python
* Confidence using a variety of analytical and statistical techniques
* An appetite for learning and passion for the role of data in helping solve complex questions
* Excellent communication, storytelling, and collaboration skills
* Experience working at, or a strong understanding of saas startups is helpful
* We welcome remote candidates based in North American timezones

Medalogix is a one-of-a-kind data analytics company in the post-acute care space. We are transforming home health and hospice agencies by leveraging cutting edge data science, machine learning, and innovative cloud technology to equip clinicians and agencies to provide the right care at the right time.

Medalogix is dedicated to empowering individualized patient care with innovative, data science-driven solutions that transform healthcare. The Company's machine learning products have demonstrated improved patient outcomes and reduced cost to the healthcare system, including reduced hospitalization, appropriate and timely transitions to end-of-life care, and optimized visit utilization for patients. Medalogix is poised for tremendous growth, as skilled home health and hospice care are positioned as the lowest cost providers in an industry shifting to value-based care.

Medalogix is currently seeking hungry, humble, and smart Data Analyst to join our technology innovators that are bringing home health and hospice to the next level.

# Why Medalogix?

* Passionate Culture – Our success originates from our dedicated and incredibly talented team that operates with shared set of core values: Be Badass, Dream Big/Act Small, Do No Harm, and Row Together. In 2022, we earned the Great Place to Work Certification.
* High Growth – Medalogix has grown 100%+ for three straight years, with continued material growth planned over the next three years.
* Meaningful Work – Our products are used by healthcare providers in their day-to-day care programs. Our company’s work directly impacts patient care in the home.
* Leading Technologies – At the core Medalogix is a technology company. We build modern, cloud-based SaaS software underpinned by data science and data engineering. Our technology team is passionate about using leading tools and practices in our daily work. Our market leading products are designed to equip home health and hospice agencies with technology to provide the right care at the right time. Medalogix products have received recognition from The Boston Globe, Fierce Healthcare, Becker's Hospital Review, HIMSS, and Harvard Business Review
* Competitive Compensation & Benefits – Medalogix provides big company benefits in a smaller company environment. We provide competitive compensation along with awesome benefits including 401(k) matching.

# Role Overview:

The Data Analyst role is responsible for analyzing data using statistical techniques, implementing and maintaining databases, gathering data from primary and secondary sources, identifying, analyzing and interpreting trends from the data. The job involves the process of cleaning, analyzing, interpreting, and displaying data using different approaches and business intelligence tools in uncovering key insights that lead to better informed and successful decision-making.

# Duties & Responsibilities:

* Identify, analyze, and interpret trends or patterns in complex data sets
* Provide data insights that help drive clinical process improvement (such as reducing readmissions and hospital-acquired conditions, improving the quality of care) and lower the cost of care
* Analyze, identify and source EMR data for developing or enhancing new or existing applications
* Engage in discovery phase with new EMRs in defining data requirements and business rules for successful integration with existing solutions
* Working with programmers, engineers, and management leads to identify process improvement opportunities, propose system modifications, and devise data governance strategies
* Working with management to prioritize business and information needs
* Performing analysis to assess quality and meaning of data
* Preparing reports for the management stating trends, patterns, and predictions using relevant data
* Filter Data by reviewing reports and performance indicators to identify and correct code problems

# Experience & Qualifications:

* Bachelor’s degree in Computer Science, Computer Engineering or related field
* Adept at querying, writing reports, and making presentations using modern data processing, storage and analytic technologies like Snowflake & SQL Azure
* Strong mathematical skills to help collect, measure, organize and analyze data
* Knowledge of tools for data analysis such as SQL, Tableau, Power BI, R, Python, Excel with understanding of ETL frameworks
* Experience in working with Electronic Health Records (EHR), Billing, Claims and/or Revenue Cycle Management (RCM) processes in a healthcare system
* Experience in interpreting data from a variety of sources (e.g., EMR systems, Population Health Data sets, healthcare Payor/Provider data sets) to develop data models for analysis
* Strong analytical and problem-solving skills
* Verbal and Written communication skills
* Knowledge of healthcare domain is a plus
* Certifications in BI/Data is a plus

# Benefits

* Highly sponsored healthcare plans to choose from (PPO, HSA, and FSA)
* Optional Dental and Vision insurance
* 401(k) with company match; immediately vested
* Education Assistance Program/Employee Assistance Program
* Generous maternity / paternity leave
* We celebrate our wins with team events/outings
* Generous Paid Time Off + 8 Paid Holidays
* Free downtown parking

Tableau

Viable Data is an innovative technology, data and UX consultancy, delivering excellence through our projects and providing our people with a supportive culture and opportunities for growth and continuous learning.

We thrive on the challenge of working across different projects, user needs and technologies and our teams and people live this every day. Our people-first approach and culture is central to our growing success as a consultancy.

We are an all-inclusive equal opportunities employer and proudly celebrate diversity. If you thrive on challenge, have a passion to learn and make a difference, and enjoy being part of a growing multidisciplinary team, look no further and start your Viable career, now.

# About the role

As a Data Engineer at Viable Data, you will be at the forefront to ensure that data is in the right state and format, ready to implement data schemas and models, making sure that the data is ready and available for data mining purposes.

You will be someone who can adapt quickly and easily to the flexible needs of our Central Government customers. You will join one of our high-performing consulting teams where you will play a pivotal role in designing & delivering exceptional digital products and services that directly contribute to the delivery of UK policy, economic growth and security.

This role is largely remote with occasional business essential travel.

# Key responsibilities

* Experience of pragmatic, hands-on analysis of enterprise-scale data projects across the full SDLC from design to migration, integration and live service in an Agile environment • Experience of analysis and design of solutions using one or more from: SQL and noSQL technologies, data streaming, logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies
* A thorough understanding of one or more from: Master Data Management, Data Lineage analysis, Metadata Management, Data Quality assessment and management, Data Transformation and migration
* Ability to apply advanced analytics and statistics techniques to business problems
* Proven experience of working with large volumes of data, applying tools such as SAS, R, Python, SQL, PowerBI, Tableau, Looker
* Excellent communication skills and ability to tell stories / influence with data

# Skills and experience needed

* Proven relevant industry experience.
* Excellent written and verbal communication abilities - presenting findings and related design/business recommendations and insights clearly that stakeholders can understand and use. Able to communicate with stakeholders at all levels.
* Proven analysis skills - experience of various data analysis methods at enterprise scale
* People skills – empathetic, great listener and have a natural curiosity to understand people, their motivations and thought processes.
* Experience and understanding of a range of User Centred Design practices
* Organisation, time management and collaboration skills

# Why work with us?

As well as providing a great place to work that has an amazing culture and the opportunity to work on excellent projects where you will really make a difference, we have a whole host of additional employee benefits.

# Our benefits package includes:

* 25 days leave
* 5 days dedicated training allowance, with individual budget
* Mentoring system, with 6-month review cycles
* Flexible hours and supportive of remote working
* 5% pension company contributions
* Annual bonus based on company performance
* Choice of company laptop (Macbook, Windows)

api.video is an API-first platform that enables developers to build, scale and operate on-demand and live video streaming in their own apps and platforms in minutes, with just a few lines of code. The service handles the end-to-end workflow, from video ingestion to worldwide video delivery.Just like Stripe for payments, Twilio for text/VOIP, and Sendgrid for email; we're making video accessible to every client and developer via our api, the world over.

You will join our brand new Data team. As the very first Data Analyst, you will be the main point of contact to support the Product, Finance, Customer Success and Engineering teams in their needs of Insights, Monitoring and more at strategic and operational level. Below some examples:

* Correlate cohorts and usages to determine behaviour patterns
* Monitor performances of funnels like SignUps → Subscriptions
* Write tracking-plans at the foundation of upcoming analyses (e.g. app-events for User Journey)

# What will you be doing?

* Proactively initiating processes to collect Business and Product needs in order to translate them into operational tasks.
* Helping identify KPIs/local metrics and make sure we are able to track, monitor them and measure impact of any project we drive.
* Building long-term analytical assets (dashboards and reportings) to help teams take data driven decisions.
* Providing appropriate and clear recommendations based on qualitative analysis outcomes.
* Defining Data Modeling guidelines to guarantee a consistent, smooth and performent query experience.

# What can you expect at api.video?

* Global presence with an international working environment.
* 100% Remote possible (we have an HQ in Bordeaux, and we rely on many coworking spaces, CET timezones).
* We offer competitive salaries.
* Flexible timetable - we value results over presence.
* Work in your preferred System and OS (Mac, Linux, Microsoft).
* Your voice is valued and will count in our decision making.
* Personal Growth. We invest in your career development; do you need books or to attend conferences? We got you covered!

# What are we looking for?

* 4/5+ years of experience in Data analysis. Proficiency in SQL.
* Significant experience with Looker (or similar) for explorations.
* Creative team player, autonomous, eager to learn every day and continually suggesting innovative ideas.
* Ease to switch from projects of different natures (business, product or technical).
* Excellent verbal and written communication in English.

# Nice to have :

* Snowflake knowledge is a plus.
* Observability through Kibana and/or Grafana.
* CRM tools.

CodeSignal is seeking a Senior Data Analyst to help inform strategy and empower everyone at CodeSignal to make data-driven decisions with analysis insights, self-serve reporting, and high-quality data built on robust, scaleable data infrastructure! In this role, you will have the opportunity to collaborate with business teams like Customer Success, Sales, Marketing, and Go To Market to solve business problems. We'd love to see you apply if you enjoy learning new tools, have a passion for full-stack analytics, and enjoy a hybrid role where you get to be both Analytics Engineer and Data Analyst. If you are analytical, data-driven, excited to be a mentor or leader, and eager to take your career to the next level, this could be an excellent opportunity to grow your technical skills.

# The Company

CodeSignal is the leading technical interview and assessment solution, helping companies identify the right candidates with the right skills—even if they don’t have the “right” profile. Hiring and selection teams use CodeSignal to increase speed-to-hire and candidate pipeline yield, and tap into underrepresented pools of candidates. Founded in 2014, CodeSignal is trusted by leading companies like Netflix, Capital One, Robinhood, and Dropbox.

# What makes a Signalite?

Signalites are the incredible people who make up CodeSignal’s global team. We believe every Signalite should be given the context to understand decisions, the freedom to act independently, and the responsibility to do what’s right. These principles build upon each other to drive motivation, speed, innovation, and a results-oriented, high-performing culture. We believe that culture is not just about principles, but also behaviors. This belief can be seen and felt in everything we do as Signalites.

# Day-to-Day

* Enhance data access through standardized data models, metrics, documentation,  and self-service automated reports
* Collaborate with data engineering to build new data sets and data pipelines
* Partner with business units to define key metrics and build and/or automate reporting to monitor and analyze performance 
* Conduct statistical analyses to answer strategic business questions
* Perform advanced exploratory analyses on large sets of data to extract insights that will guide our customer success strategies

# Qualifications 

* At least 4 years experience as a data analyst
* Intermediate to advanced proficiency in SQL and experience with cloud data warehouse such as Snowflake, Redshift, or Bigquery
* Beginning to intermediate experience with a BI Tool (e.g., Mode, Looker, Tableau)
* Experience deriving insights from complicated data with statistically rigorous analysis techniques
* Strong communication and collaboration skills, excited to partner with both engineering and business teams
* Excellent business acumen and ability to understand various departments’ role and their business needs
* Ability to synthesize complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
* Demonstrated aptitude with data quality improvements and experience creating data models, ideally with dbt
* Ability and willingness to learn new technical tools and to contribute to analytics engineering, ability to utilize technical documentation

# Nice-to-Have

* Experience with dbt is strongly desired
* Experience with ETL
* Proficiency in at least one scripting or statistical language (e.g., Python, R)
* Experience with experimental design & causal inference

# Why You’ll Love It Here

* Competitive salaries based on local market and 401(k) match
* Medical, dental, and vision insurance
* Team activities and get-togethers to connect with your fellow Signalites
* Unlimited PTO and remote-first work policy
* Continuous learning with educational reimbursements provided
* Equipment provision and generous home office setup stipend
* A challenging and fulfilling opportunity to join a fast-growing SaaS company

We know that great work comes from great, and inclusive teams. At CodeSignal, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. We believe this gives us a competitive advantage to better serve our customers and helps us all grow as Signalites and individuals. We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. CodeSignal is proud to be an Equal Opportunity Employer.

# Salary Projection 

In accordance with local regulations in jurisdictions where CodeSignal may hire, we are projecting an annual base salary in the range of $115,000-$250,000. This range is based on San Francisco benchmarks and encompasses all seniority levels eligible for this position. Offer packages often contain additional compensation in the form of commission bonuses, equity, and/or benefits. Offers are awarded on an individual basis and are subject to factors such as, without limitation, a candidate’s level of experience, growth trajectory, and local labor market. Employees' compensation is reviewed and adjusted regularly.

The Aeyon Data and Analytics Center of Excellence delivers data analysis expertise and solutions that exceed expectations for Aeyon and its clients. We are expanding our team and are looking for a senior-level data scientist.

We are looking for a well-rounded data scientist with expertise in a variety of different types of analyses (e.g., statistics, classification, regression, clustering, NLP, AI/ML, data visualization, etc.) using a variety of tools (e.g., Python, Spark, SQL, Tableau, PowerBI, etc.) against different domains. The keys to success in this role include a willingness to learn, a can-do attitude, and an aptitude for solving hard problems.

As a member of our team, you will:

* Participate and promote companywide data and technology initiatives to raise awareness and increase data acumen, especially regarding tools, methods, and best practices.
* Support marketing and business development efforts.
* Lead and/or contribute to data science projects utilizing a variety of data science skills and methods. The projects may be performed to improve internal business operations or be in support of contractual deliverables. Contributions may include:
* Provide subject matter expertise across the organization and to clients.
* Provide data and analytics guidance regarding data handling, analysis, and visualization
* Develop prototypes and proofs-of-concept to demonstrate approaches.
* Maintain up-to-date knowledge of data science approaches, technologies, etc.

CLEARANCE REQUIREMENTS: Secret or TS/SCI eligible

# EDUCATION REQUIREMENTS:

* Mandatory: Bachelor’s Degree from an accredited college.
* Waivable/Substitutable: Four years of work/military experience working in the analysis field.
* CERTIFICATION REQUIREMENTS: None

# EXPERIENCE REQUIREMENTS:

* 10+ years of Hands-on experience performing data analyses using common data science tools and methods.
* Experience leading data science projects
* Experience with data modeling
* Experience visualizing analytic results and presenting findings.
* Ability to adapt analytic processes to different/new analyses
* Ability to program in Python
* Experience with common Python Data Science libraries (Pandas, SKLearn, NumPy, Scipy, Pyspark, etc.)
* Ability to learn new skills

# Nice to have:

* Experience working with the U.S. Department of Defense and the U.S. government on areas concerning national security, business operations, strategy, and government efficacy.
* Familiarity with data engineering
* Experience with big data tools and cloud platforms.

Senior Data Scientist

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit.

"The front page of the internet,” Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities.

Reddit is poised to rapidly innovate and grow like no other time in its history. This is a unique opportunity to leave your mark on one of the most influential and trafficked corners of the internet. 

The Growth team plays a key role in fulfilling Reddit’s mission of bringing community & belonging to the world through data initiatives like understanding our user segments, how to personalize Reddit’s communication to our users, and present the most relevant content to users. 

As the team’s Data Scientist, you will play an influential role in guiding product strategy through proactively surfacing insights, conducting exploratory analyses and executing advanced experimentation.

# How You’ll Have Impact:

Today, Growth touches a large swatch of features at Reddit. As a key member of the team that owns notifications (email and mobile), you’ll help us refine our Growth strategy through playing with one of the richest datasets at Reddit and uncovering user insights. Your work will help us understand how we reach out to our diverse users and communities, different user types and top Reddit use cases that will propel the next wave of Growth.

# What You’ll Learn:

* You will be deeply integrated with our tight-knit team, which moves quickly and runs experiments on a variety of initiatives at Reddit. You’ll play a key role in determining the notification strategy and other improvements for users throughout their lifecycle. You’ll play with petabytes of data full of user interactions and events to develop user segmentation and user funnels that will impact the entire company. 
* In addition, you will work side by side with a world-class org of Engineering, ML, Search, Data Science, Data Warehouse, and Analytics practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in experimentation, statistical frameworks, machine learning, deep learning, and causal inference.

# What You’ll Do:

* Perform proactive exploratory analyses on understanding user behavior on Reddit (e.g. tipping points and when to intervene with Growth levers)
* Conduct exploratory analyses to size new opportunities for how Reddit communicates w/ users or deepen their engagement with Reddit communities
* Partner with Engineering and Product to define and execute Growth’s roadmap and initiatives
* Design and evaluate A/B tests and product feature experiments to influence product strategy
* Define team metrics and goals and scale data-informed decision making through ETLs and reporting dashboards
* Present findings to senior leadership and inform product decisions

# Who You Might Be: 

* 6+ years of experience in data analytics or related quantitative role
* Demonstrated ability to influence and guide product strategy with data
* Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
* Strong ability to communicate and discuss complex topics with technical & non-technical audiences
* Familiarity with causal inference techniques and causal models
* Desire to mentor other data scientists and share best practices to elevate the data science practice at Reddit
* Proficiency with relational database (e.g., SQL) and statistical analysis/programming languages (e.g., R / Python)

North America

Senior Data Scientist (Growth)

Would you like to be part of a growing national healthcare solutions company? Are you looking to positively affect thousands of lives each day via health benefits? Do you have experience in data analyst and healthcare?

We are hiring for a Data Analyst to join our team.

# Who we are

Allied is a national healthcare solutions company that supports healthy workplace cultures.

# What we do

We are problem-solvers, innovators, and collaborators. Our purpose is to work with employers to take care of their employees and their families every day – and it all starts with the Allied family. 

# What’s in it for you?

Allied supports an inclusive culture focused on developing employees to succeed, innovate & impact the community.

# Here’s how we do it

* Training and Development: Allied offers tailored learning and development curriculums for all employees and a Learning Management Database with thousands of courses for professional and personal development.
* Career Mobility: Growth opportunities are endless at Allied. In 2021 alone, one in five employees had a job change. 75% of these job changes were promotions!
* Employee Engagement: We pride ourselves on employee engagement! With our recognition program, employees recognize their colleagues monthly or donate to charities with cash rewards. Allied has a dedicated committee planning monthly engagement activities to create endless opportunities to get to know your peers and destress in this new remote world.
* Employee Feedback: We regularly survey our employees throughout the year to seek continuous feedback, ideas and suggestions on new initiatives.
* Community Outreach: We have dedicated committees focused on fundraising efforts supporting our employees and their families, furthering education goals and providing funds for charitable organizations outside of Allied.

# What will you be doing?

The Data Analyst is a goal oriented, team player possessing a combination of technical and data skills used to help build and maintain a variety of reports and other analytical tools. The ideal candidate is skilled in various aspects of data analytics, such as programming, mining, generation, and visualization. As a technical lead, the data analyst will be responsible for resolving issues and ensuring success of projects assigned to their team.

# ESSENTIAL FUNCTIONS

* Develop an understanding of the health insurance world in different areas of the business such as claims, eligibility, customer service, and stop loss.
* Perform analyses of varied healthcare data to evaluate programs and product solutions using medical, dental, flex, pharmacy, lab, provider, and utilization data.
* Maintain high standards of data quality and integrity.
* Work closely with stakeholders to create dashboards and reports.
* Design and code efficiently using SQL and other data reporting languages.
* Help create and test SQL statements for data presentation and further automation.
* Set up and monitoring routine maintenance SQL jobs and developing / maintaining an alert strategy(s) for failed jobs and database problems and/or failures.
* Data modeling, including an understanding of all normalized forms, design and development of stored procedures, views and triggers.
* Manage daily / monthly data and reporting processes automated through SQL Server agent
* Create reports using a variety of tools and formats such as Excel, Power BI, PDFs, etc.
* Document methods, specifications, and findings clearly; contribute to the writing and the presentation of results, findings, and conclusions.
* Excellent attention to detail, ability to detect and correct problems within SQL script
* Meet Allied’s expectations for productivity, quality, and goal accomplishment.
* Work closely with manager to complete assigned tasks
* Adhere to, and apply all applicable privacy and security laws, including but not limited to HIPAA, HITECH and any regulations promulgated thereto.
* Perform other duties and responsibilities, as assigned.
* Attend continuing education classes as required, including but not limited to HIPAA training.
* 3-4 years of data analyst experience. Health care experience preferred.
* 2+ years’ experience with MS SQL Server.
* Experience with SQL Server Development – creating and modifying stored procedures.
* Ability to use reporting and business intelligence tools like Microsoft SQL Server Reporting Services (SSRS) or Power BI.
* Ability to collaborate well with team members.
* Experience in working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.
* Proficient computer skills, including Microsoft Office Suite (Word, Excel, Access and Power Point).
* Demonstrated analytical and problem-solving skills.
* Strong written, verbal communication and analytical skills required.
* Usage of SQL Profiler
* Experience with Power Automate
* Knowledge of integrating SQL Server solutions in .NET environments, with working knowledge of C#, ASP.NET and SOA with web services
* Bachelor’s degree required with a focus in Computer Science, Math, Statistics desirable.

# EXPERIENCE, SKILLS & ABILITIES

* 3-4 years of data analyst experience. Health care experience preferred.
* 2+ years’ experience with MS SQL Server.
* Experience with SQL Server Development – creating and modifying stored procedures.
* Ability to use reporting and business intelligence tools like Microsoft SQL Server Reporting Services (SSRS) or Power BI.
* Ability to collaborate well with team members.
* Experience in working in a data warehouse environment as well as the ability to work with large data sets from multiple data sources.
* Proficient computer skills, including Microsoft Office Suite (Word, Excel, Access and Power Point).
* Demonstrated analytical and problem-solving skills.
* Strong written, verbal communication and analytical skills required.
* Usage of SQL Profiler
* Experience with Power Automate
* Knowledge of integrating SQL Server solutions in .NET environments, with working knowledge of C#, ASP.NET and SOA with web services

Preferred
* Usage of SQL Profiler
* Experience with Power Automate
* Knowledge of integrating SQL Server solutions in .NET environments, with working knowledge of C#, ASP.NET and SOA with web services

# Education

Bachelor’s degree required with a focus in Computer Science, Math, Statistics desirable.

MS SQL

IT Data Analyst

We are Dext. Our suite of tools makes accountants more productive, profitable and powerful. In doing so we give them back the most precious commodity, time, which they can then use to add greater value to their clients.

Accountants and bookkeepers are the backbone of every successful business. For more than a decade we’ve empowered our partners with innovative technology solutions to make businesses better. Dext allows them to meet the challenges they face today, tomorrow and in the future.

We are now seeking an experienced Product Manager to help with our continuous efforts to improve the level of automation we bring to our extraction processes.

# The role (what you’ll do):

* Manage the data extraction lifecycle, you will be responsible for determining what 'success' looks like taking into consideration a number of macro and micro factors
* Research new ways to improve our automation processes; working closely with our machine learning lead and lead data scientist on requirements, data capture, sampling..ultimately using the tools at your disposable to spot actionable insights
* Channel the voice of the customer to ensure data outputs are in line with user goals
* Evaluate and implement new product ideas
* Work closely with the wider product team and stakeholders to align on product releases and team roadmaps
* Ensure that stakeholder needs are considered and evaluated during the development stages

# About you (what we are looking for):

* Equally comfortable using reporting tools such as Looker, Snowflake, SQL as well as building simple data science models in a notebook.
* Successful candidates in the past have come from a data science background or product analysts who have applied data science techniques.
* Ideally previous Product Management experience in a fast-paced technology business. Some experience of advising/making product led decisions is needed.
* Ideally, previous experience in a SaaS, rapid growth environment
* Capable of making data driven decisions
* Stakeholder management
* Managing and prioritising a backlog

These are our ideal requirements, but we hire on potential, not just on experience, and we know that some people are less likely to apply for a role if they don’t meet 100% of the criteria. At Dext we are committed to cultivating a diverse, inclusive and empowering culture, so please apply if you meet the majority of these competencies.

# What you will be a part of:

We are a highly ambitious, innovative, market-leading FinTech. We are a global, well-funded business but have the dexterity and pace of a scale-up. We are uncompromising in our desire to achieve our best, day-in day-out, and we have three clear values which guide everything we do:

* Be Brave - Everyone in the company has a voice to challenge ideas and the status quo.
* Be Exceptional - We set high standards for ourselves. We aim to be exceptional at what we do.
* Be Together - We are one team. There is no such thing as individual success without team success.

Management

Data Science Product Manager

Ever since the global privacy landscape changed in the last few years, having first-party data has become a requirement for e-commerce businesses. Northbeam steps in to provide our clients with the solution for their data needs, and it pays off. As a result, we’ve been seeing some unprecedented growth. We need your help in order to build the product that’s going to power the great ecommerce brands of the future and today.

We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more.

# You can expect to work on the following:

* Media mix modeling: understanding the relationship between our clients' marketing inputs and marketing outputs (sales, revenue), as well as quantifying the inherent uncertainty involved
* Communicating the model and its implications to non-technical stakeholders
* Working with our data engineering and product teams to productize the above for our growing customer bas

# Requirements

* Expertise with Python
* Strong skills in statistics, probability, and/or machine learning
* Experience with differentiable programming or probabilistic programming (e.g. Tensorflow, Pytorch, JAX, Pyro, PyMC)
* Ability to clearly communicate results to non-technical audiences, in English
* Experience (or enthusiasm) with working in a small, fast-paced company

# Good to Have:

* MS or PhD with research focus on quantitative or statistical methods
* Experience working with marketing data

# Values:

* Growth mindset - we’re always learning and growing
* Customer focus - we want to make the customer happy with our product
* Ownership mentality - we think like owners in the business
* Radical candor - we’re transparent and give direct feedback to one another
* Empathic disposition - we’re kind to one another and help each other grow

# Benefits

* Significant equity package
* Generous base salary
* Healthcare Benefits (medical, dental, vision)
* Travel to meet with the team