Data Analyst - Freelance - Lively

Data Analyst - 6 Month Freelance Contract - Lively, UK

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 games industry experience.
• We are only able to consider candidates who are based within the EU time zone.
• This is a contract which is due to commence in March 2026.

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.