Overview
Data Analyst - 6 Month Freelance Contract - Lively, UK. Lively is part of the Electric Square group across 4 studios and multiple projects. We offer a supportive studio culture and are committed to equality of opportunity and a comprehensive benefits package.
We are looking for a Data Analyst to join our Lively team. Remote working is supported, with a flexible blend of home and office.
- 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.
Qualifications
- 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.
Data Protection
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