Data Analyst - 6 Month Freelance Contract - Lively, UK at Electric Square

Royal Leamington Spa, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, R, Data Visualization, Power BI, Tableau, Looker, Statistical Methods, A/B Testing, Communication Skills, Data Manipulation, Data Modeling, Causal Inference, Experimental Design, Player Behavior Analytics

Industry

Computer Games

Description

At Lively, we pride ourselves on making games full of character. The world is fun and silly and sad and infuriating and banal and beautiful and ugly, and all of those things have a place in our games. Across the Electric Square group, 4 studios, many projects, 250 people (and studio dogs (and cats)), we offer you a comfortable and comforting studio culture that we hope can make you feel empowered and inspired. Lively hunger for difference — we celebrate it, support it, and thrive on it for the benefit of our employees, products, and community. Lively is proud to be an equal opportunity workplace. We provide a comprehensive benefits package and an award-winning environment to work in; we are not idle - we always strive to do better for our employees. We are currently looking for a Data Analyst to join our Lively team - but we are fully supportive of remote working and happy to enable whatever blend of home and office best empowers you and your work. This role requires the successful applicant to be based within the EU time zone. This is a contract which is due to commence in March. What does a Data Analyst at Electric Square do? Designs, implements, and validates game telemetry to capture meaningful player data in an efficient and optimal way. Extracts, transforms, and analyse large datasets using SQL and other data manipulation techniques. Bonus points for experience using Python or R. Builds and maintains dashboards and visualizations to track KPIs, feature performance, economy balance, etc. Strong technical skills with at least one major BI tool (Power BI, Tableau, Looker, etc.) Applies causal inference and experimental design methods (e.g., A/B testing, difference-in-differences) to assess the real impact of changes and features. Works closely with product managers, designers, engineers, and producers to define data needs and share actionable insights. Presents complex findings clearly to both technical and non-technical audiences, including senior leadership and external clients. Supports a culture of data-driven decision making across the studio. Experience in the games industry or with player behaviour analytics is essential SQL expertise for querying and manipulating large datasets. Proficiency with at least one major data visualisation tool (Power BI, Tableau, Looker). Strong proficiency in data manipulation and data modelling techniques. Working knowledge of statistical methods for experimentation design, including hypothesis testing, sample size calculation, confidence intervals, and techniques such as A/B testing and Difference-in-Differences. Also, the ability to interpret results and communicate practical significance clearly. Exceptional written and verbal communication skills, with the ability to tailor insights to different audiences. Familiarity with scripting or statistical programming languages (e.g., Python, R) is an advantage. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy https://www.keywordsstudios.com/en/applicant-privacy-notice/. Role Information: EN Studio: Electric Square Location: Europe, UK Service: Game Development Employment Type: Permanent Working Pattern: Full Time

Responsibilities

The Data Analyst designs, implements, and validates game telemetry to capture meaningful player data. They work closely with product managers, designers, engineers, and producers to define data needs and share actionable insights.