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.

What does a Data Analyst at Electric Square do?

• 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.

Experience & Requirements

• 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.