17 of 17 Cohort Analysis Jobs in London

business stakeholders, linking strategic objectives and OKRs to product, customer, operational, and commercial performance. Support product strategy and business cases with evidence‐based analysis, including opportunity sizing, trend analysis, adoption analysis, and outcome modelling. Help assess analytics, insight‐generation, and recommendation opportunities within the product, including … these capabilities could create customer value. Communicate clearly with stakeholders, turning complex analysis into simple, persuasive narratives and practical next steps. Create customer and market intelligence views by combining product analytics, customer feedback, discovery insights, commercial context, product marketing research, and market intelligence to identify opportunities, risks, and strategic ...

performance to uncover actionable insights. Designing and evaluating A/B tests, experimentation frameworks, and growth initiatives. Investigating performance trends and conducting root cause analysis on key business metrics. Supporting channel optimisation, attribution analysis, marketing effectiveness, and commercial performance. Translating complex data into clear recommendations for senior stakeholders. … datasets. Experience within Growth Analytics, Product Analytics, Marketing Analytics, or a similar commercial analytics environment. Strong understanding of A/B testing, experimentation, funnel analysis, cohort analysis, and customer lifecycle analytics. Experience communicating insights to senior stakeholders and influencing business decisions. Commercially focused with the ability ...

that monitor key subscription and business metrics. Partner with Product, Marketing, and Engineering teams to improve data collection and measurement frameworks. Conduct deep-dive analysis to support growth initiatives and strategic decision-making. Present actionable recommendations to both technical and non-technical stakeholders. Support experimentation and measurement strategies … evaluate business performance. Your Skills & Experience Strong commercial experience in data analysis, customer analytics, lifecycle analytics, or subscription analytics. Advanced SQL skills with experience working in cloud-based data environments. Experience building analytical datasets, data models, or data pipelines. Strong understanding of retention analysis, cohort analysis ...

testing to maximise conversion without eroding trust Monetisation strategy - pricing presentation, upsell sequencing, trial-to-paid mechanics, and expansion revenue thinking Retention and lifecycle - cohort analysis, churn identification, win-back programmes, and engagement loops that sustain ARPU over time A/B testing culture - building a rigorous, fast … misleads Experience running a rigorous A/B testing programme - you understand statistical significance, novelty effects, and when to stop a test Strong cohort analysis skills - you can identify churn inflection points, segment by activation status, and model the impact of funnel changes Familiarity with behavioural psychology principles ...

subscription analytics. Advanced SQL skills with experience working in cloud-based data warehouse environments. Experience creating data models and transforming raw event data into analysis-ready datasets. Strong dashboarding and reporting experience using BI tools such as Looker Studio or similar platforms. Knowledge of statistical analysis techniques including … cohort analysis, experimentation, regression, survival analysis, and predictive modelling. Experience developing LTV, retention, or churn analysis frameworks. Excellent problem-solving skills and attention to detail. Ability to communicate complex insights and influence stakeholders across multiple business functions. Experience with Python or R would be beneficial. Exposure ...

conversion bottlenecks, and opportunities to improve sign-up rates. Monitor key subscription and user engagement metrics through daily, weekly, and monthly dashboards, and own analysis of metric changes over time. Perform deep-dive analyses on user retention. Present user insights to stakeholders by clearly identifying our most valuable users … technical audiences, tailoring depth and format to drive understanding and action. Requirements What You Have You have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics. You bring advanced SQL skills and are comfortable querying and manipulating ...

teams including Product, UX, Data and Technology to translate insight into meaningful customer improvements. Leverage emerging technologies and AI-enabled tools to enhance research, analysis and decision-making capabilities. Lead and develop a high-performing team while clearly communicating recommendations, progress and business impact to senior stakeholders. What … with the ability to identify opportunities and remove friction across acquisition, conversion, retention and post-purchase experiences. Strong analytical capability using behavioural data, funnel analysis, customer segmentation, cohort analysis and customer insights to inform decision-making and prioritisation. Proven experience with tools such as GA4, Contentsquare, Microsoft ...

combines strong technical expertise with excellent commercial judgement and communication skills. You should be comfortable working with complex datasets, but equally confident translating your analysis into clear, non-technical narratives for senior leadership. Please note: This is an office-based role, Monday to Friday, 9am – 6pm. We are based … drop-off points, behavioural trends, and growth opportunities. Deliver insights to improve conversion, onboarding, CRM, lifecycle communications, retention, and customer value. Own reporting and analysis for key subscription KPIs including CAC, LTV, payback period, churn, retention, conversion rate, subscription growth, and channel ROI. Apply advanced analytics using SQL, Python ...

join our Capital Markets team. You will build the code and data models that monitor our capital mandates, and own the performance and scenario analysis that goes to our lenders, investors and senior management — the infrastructure and the interpretation. Key Responsibilities Own portfolio monitoring for our capital mandates … stand behind the accuracy and the commentary that goes with them Assess and manage the performance of underlying capital mandates: vintage and cohort analysis, loss curves, yield and advance-rate decomposition, and the early-warning indicators that flag problems before month end Build the scenario and sensitivity analysis ...

show trends, targets and context rather than isolated totals that can easily mislead. Turn raw data into insight and action Produce concise, decision-ready analysis that explains what changed, why it matters, what is likely driving it and what the organisation should do next. Identify where audiences, members … through journeys and work with relevant teams to test improvements. Create a disciplined test-and-learn framework with hypotheses, success criteria and post-test analysis so the organisation learns systematically rather than anecdotally. Use segmentation and cohort analysis to uncover meaningful patterns in behaviour. Work with ...

helping to managing a team of analysts and ensuring that insight is delivered consistently, at pace, and with strong commercial impact. Main Responsibilities Lead analysis across the full customer lifecycle, from acquisition through to retention and lifetime value. Go beyond "what happened" to understand why performance changes across acquisition … opportunities to increase lifetime value through better engagement, targeting, and product experience. Develop and maintain customer segmentation models to better understand audience behaviour. Conduct cohort analysis to track performance over time and identify patterns in acquisition and retention. Identify high-value customer journeys and opportunities to improve performance ...

Analytics Manager, you will use data to make better decisions, faster for the business. You will own metrics, measurement, experimentation and the analysis/data roadmap for a business area. You’ll use data to quantify business KPIs and conduct analyses to uncover unknowns, helping the business unit achieve … roadmap and strategy Team Building & Management: Hire, develop, and retain a high-performing team of analytics professionals Data Insights & Analytics - including forecast building, business analysis and model development and productionisation. Drive the generation of actionable insights from data to support various business functions, including product, operations, marketing and engineering. ...

opportunities to improve conversion, engagement, and retention. Build and maintain KPI dashboards and reporting. Deliver customer, product, and subscription analytics. Develop LTV and churn analysis to support business strategy. Partner with Product, Marketing, and Growth teams on experimentation and measurement frameworks. Use SQL to query, manipulate, and analyse large … experience in digital analytics, customer analytics, or product analytics and advanced SQL skills. Experience working with customer lifecycle, retention, and behavioural data. Knowledge of cohort analysis, experimentation, and statistical testing. Experience with data visualisation tools. Ability to communicate analytical findings to a range of stakeholders. Experience working with ...

analytics (Snowflake Cortex,dbtSemantic Layer, or similar) Embedded or customer-facing analytics (ClickHouse, Preset, or similar) Experimentation and causal methods: A/B testing, cohort analysis, difference-in-differences Catalog, product attribute, or search data What success looks like In your first 30 days you understand the stack ...

website, sign-up, payment and onboarding so brands can get live without manual intervention. Lift activation across our long-tail brands, using funnel and cohort analysis to find where they stall and running the experiments that fix it. Own monetisation: pricing and packaging, licence mix, price testing … it. You have run a product‐led or self‐serve motion end to end, including monetisation, not acquisition or onboarding in isolation. Funnel and cohort analytics sit in your own hands. You build the model, find the drop‐off and size the opportunity yourself rather than waiting ...

portfolio. Identify growth opportunities and execute strategies to achieve business goals. Enable decision-making through data-driven strategies and actionable insights. Translate complex data analysis into clear and simple language for effective communication. Introduce and promote new product features aligned with customers' business needs and stage of growth. Lead … verbal communication skills in English , with the ability to build and maintain strong relationships with clients. Strong analytical skills, with a deep understanding of cohort analysis and customer acquisition metrics (ROAS, CPM, IPM, CPI, and CPA) . Strong understanding of the mobile app industry , including key players, media ...

units, hiring engineers and Engineering Managers, and leading through those managers as the team scales. Establishing a strong experimentation culture: A/B testing, cohort analysis, and measurement that lets the team learn quickly what actually changes customer behaviour. Working closely with Growth, Sales and Marketing to translate ...