Data Analyst

2w2 weeks ago

Electric Square

Royal Leamington Spa, GB · Contract · £45,000 – £60,000

About this role

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 a comfortable and comforting studio culture.

We are currently looking for a Data Analyst to join our Lively team. 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 data analyst industry experience and candidates based within the EU time zone.

A Data Analyst designs, implements, and validates game telemetry to capture meaningful player data. They extract, transform, and analyse large datasets using SQL and build dashboards to track KPIs, feature performance, and economy balance. They apply causal inference and experimental design methods like A/B testing to assess impacts.

Works closely with product managers, designers, engineers, and producers to define data needs and share actionable insights. Presents complex findings clearly to technical and non-technical audiences, including senior leadership and external clients. Supports a culture of data-driven decision making across the studio.

Requirements

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, A/B testing and Difference-in-Differences
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

Responsibilities

Designs, implements, and validates game telemetry to capture meaningful player data in an efficient and optimal way
Extracts, transforms, and analyses large datasets using SQL and other data manipulation techniques
Builds and maintains dashboards and visualizations to track KPIs, feature performance, economy balance
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