Back to jobs
Featured
Product Data Analyst
Job description
Product Data Analyst – HIRING ASAP
Start date: ASAP
Duration: 18 Months
Location: Remote
Rate: £250 - £265 per day PAYE
Summary:
We are looking for a product performance analyst that is excited about working in an incredible AAA games studio, to improve decision making and improve the product giving better experiences to millions of players around the world.
The successful candidate will collaborate closely with producers, live service teams and the head of strategy to understand business challenges, then analysing complex datasets aimed at uncovering valuable insights about how our clients’ games. Your primary focus will involve leveraging data analysis of product KPISs to generate insights on how the product is performing, and what is driving growth or declines, which would involve measuring the impact of seasonal trends, content updates, and audience dynamics.
We are in search of an individual who has experience of understanding a digital audience and how the dynamic of this audience engages results in engagement. This is an opportunity to make a significant impact and collaborate with producers, designers, engineers, and leadership at a leading AAA live service studio and to own product insights for a huge digital live service video game.
Skills:
Start date: ASAP
Duration: 18 Months
Location: Remote
Rate: £250 - £265 per day PAYE
Summary:
We are looking for a product performance analyst that is excited about working in an incredible AAA games studio, to improve decision making and improve the product giving better experiences to millions of players around the world.
The successful candidate will collaborate closely with producers, live service teams and the head of strategy to understand business challenges, then analysing complex datasets aimed at uncovering valuable insights about how our clients’ games. Your primary focus will involve leveraging data analysis of product KPISs to generate insights on how the product is performing, and what is driving growth or declines, which would involve measuring the impact of seasonal trends, content updates, and audience dynamics.
We are in search of an individual who has experience of understanding a digital audience and how the dynamic of this audience engages results in engagement. This is an opportunity to make a significant impact and collaborate with producers, designers, engineers, and leadership at a leading AAA live service studio and to own product insights for a huge digital live service video game.
Skills:
- Strong experience as a data analyst
- Strong knowledge of digital product analytics, including telemetry, KPIs, and engagement metrics.
- Strong working knowledge of SQL and/or Python.
- Strong analytic skills and facility with Excel
- Experience with presenting data, and creating reports (e.g. Power BI, Tableau)
- Communication, organisational and collaboration skills
- Experience working with data engineers for data asset deployment & management.
- Identify drivers of game performance through detailed data analysis and communicate insights to the leadership, game development, marketing, and live operations teams.
- Understand and create customer segments, LTV analysis, and analysis for how customers move through life cycle and engagement stages and use this knowledge to describe product KPIs.
- Create dashboards and regular performance reports for stakeholders, highlighting trends and anomalies.
- Evaluate the success of live events, promotions, and new feature rollouts.
- Provide insights on what worked, what didn’t, and why, to inform future planning.
- Partner with product managers, designers, and marketing teams to align KPIs with business goals.
- Unifying methodology (e.g., for incorporating A/B experiments, user research studies) to improve insight delivery.
- Experience in digital platform analytics (web, digital products), especially live service games.
- Familiarity with game industry/game development
- Proficiency in statistical analysis, hypothesis testing, and experimental design methodologies.
- Experience with AB testing and Audience Segmentation
- Documentation and data/reporting architecture design.
- Experience with Databricks or similar platforms.
- Experience with GIT, version control and code review.