Job Description

:
We are seeking a highly analytical and detail-oriented Finance Analyst to support the commercial finance team in understanding and forecasting player behaviour, with a particular focus on player churn and retention.
The successful candidate will design, build, and maintain a robust Excel-based cohort model that quantifies churn dynamics, supports financial forecasting, and helps guide strategic decisions around player lifetime value, marketing ROI, and retention initiatives.
This is a hybrid role, based on site 2 days a week at our Cambridge studio.
Responsibilites
Model Development & Maintenance

• Design and build a dynamic Excel model to track and forecast player churn by cohort, incorporating key behavioural and financial metrics (e.g. acquisition date, spend, activity, retention curves).
• Maintain and update the model regularly with new data from finance and data analytics teams.
• Ensure the model is transparent, auditable, and scalable for future business needs.

Data Analysis & Insights

• Analyse player lifecycle data to identify churn drivers, retention trends, and revenue impacts.

• Segment players into cohorts (e.g. by acquisition channel, geography, game title, or spend level).
• Work closely with marketing and product teams to quantify the impact of retention campaigns or game changes.

Financial Forecasting & Reporting

• Integrate churn assumptions into revenue and cash flow forecasts.
• Support budgeting and scenario modelling by providing insight into expected churn rates and lifetime values.
• Prepare and present findings to finance leadership and key stakeholders across the business.

Collaboration & Cross-Functional Work

• Partner with Data, Marketing, and Product teams to align definitions and data inputs.
• Collaborate with BI and data engineers to automate model inputs over time (e.g. via SQL or Power Query).
• Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders.

Requirements:
Essential:

• Strong Excel skills, including advanced formulas, data modelling, Power Query, and data visualisation (PivotTables, Charts).
• Experience building financial or analytical models from scratch.
• Excellent quantitative and analytical skills with a keen attention to detail.
• Strong understanding of cohort analysis, churn modelling, or customer lifetime value (LTV) metrics.
• Ability to communicate insights clearly to senior non-technical audiences.
• Relevant degree in Finance, Economics, Mathematics, or related field.

Desirable:

• Experience in gaming, entertainment, or subscription-based businesses.
• Familiarity with SQL or data extraction from BI tools (e.g. Looker, Tableau, Power BI).
• Exposure to Python, R, or other statistical tools for churn or retention modelling.
• Understanding of digital marketing metrics and player acquisition funnels.

Personal Attributes

• Curious and data-driven with a proactive approach to problem solving.
• Comfortable managing large, complex datasets.
• Strong business acumen - able to link data insights to financial performance.
• Excellent communication and stakeholder management skills.
• Passion for gaming and understanding player behaviour.

Skills Required