Jobs in Reading, Grande-Bretagne

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.

• Designs, implement, and validate game telemetry to capture meaningful player data in an efficient and optimal way
• Extracts, transform, and analyse large datasets using SQL and other data manipulation techniques. Bonus points for experience using Python or R
• Builds and maintain dashboards and visualisations 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

• 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
• Experience in the games industry or with player behaviour analytics is highly desirable