4 of 4 Cohort Analysis Jobs in the UK

ROI by channel, and guide investment in growth and member experience. Key Responsibilities: Discovery & Alignment: Collaborate with stakeholders across Data, Finance, Growth, Partnerships, and CRM to define key metrics, cohort definitions, and reporting needs. Ensure robust data sources and models are in place to support cohort-level analysis. Define clear ownership and handover plan for the internal FP … A team. Model Design & Build: Develop scalable cohort models by acquisition month, service group, acquisition source, and member status or age banding. Build engagement, retention, and renewal curves across the full customer lifecycle. Create LTV models including transaction frequency, value over time, and associated variable costs to identify true contribution margin. Deliver scenario and sensitivity forecasting to support growth … planning. Document all models to ensure they are reproducible and maintainable. Integrate cohort-based forecasting into existing financial models for budget process. Reporting & Enablement: Build dashboards and reporting views to track cohort performance, engagement, renewal, retention, and monetisation metrics. Identify areas of over- or under-performance vs. expectations or previous cohorts. Handover & Training: Provide detailed documentation and walkthroughs More ❯

growth and optimisation. Partner with product managers, designers, and engineers to define KPIs, tracking plans, and success metrics for new features and initiatives. Conduct A/B tests, funnel analysis, and cohort analysis to measure impact and recommend next steps. Build and maintain dashboards and reports to monitor product performance, customer journeys, and digital engagement. Liaise with More ❯

insight generation for digital journeys, funnel performance, and product behaviour. Delivering prescriptive and predictive insights that influence product, commercial, and operational decisions. Developing forecasting models and deep-dive funnel analysis to understand conversion drivers. Segmenting mobile app users to identify patterns in usage, engagement, and retention. Supporting retention strategies through data-driven recommendations across push, email, and in-app … Areas: Digital analytics, predictive modelling, product behaviour, insight generation No tagging responsibilities - handled by a specialist team Leadership-first role, but with enough technical depth to guide high-quality analysis SKILLS & EXPERIENCE REQUIRED Essential: Experience in analytics, digital insights, or data science. Strong background in digital analytics, predictive modelling, or behavioural insights. Ability to translate complex analytical outputs into … the ability to bring momentum to projects. Desirable: Experience with statistical modelling in Python or R. Knowledge of designing and evaluating A/B tests. Familiarity with customer segmentation, cohort analysis, and forecasting frameworks. WHY APPLY? Shape the digital insights strategy for a major UK brand undergoing significant digital investment. Lead a capable team and work closely with More ❯

ROAS, eCPI, retention). Subject matter expert in performance UA and retargeting. Speak the language of CPA, ROAS, LTV, SKAN, and incrementality. Analytical and data-driven, comfortable with dashboards, cohort analysis, and performance metrics. Excellent communication and stakeholder management skills. Experience working with SDK-based inventory and knowledge of MMPs (Adjust, Appsflyer, Kochava) is a plus. Ability to More ❯