▷ Only 24h Left: Finance Analyst

3 days ago

Albany, Australia Jagex Limited Full time

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.

Responsibilities

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.

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.

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