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Finance Analyst

2 weeks ago

Cambridge, Cambridgeshire, United Kingdom Jagex Limited Full time £40,000 - £80,000 per year

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.