1 to 25 of 35 Cohort Analysis Jobs in London

consumer lifecycle — from acquisition and activation through engagement, retention, churn and reactivation. Identify opportunities to improve conversion, customer value and sustainable growth using funnel analysis, cohort analysis, segmentation and behavioural analytics. Collaborate closely with Product Managers, Designers, Engineers and Data teams to ensure decisions are grounded … robust analysis, customer insight and commercial understanding. Evaluate the performance of customer segments, markets, channels and product journeys, helping the team understand where growth opportunities and commercial trade-offs exist. Support decisions that improve key business outcomes, such as activation, conversion, repeat usage, retention, churn, customer lifetime value ...

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 ...

clickstream and behavioral data to help stakeholders understand the digital journey and its business value. Apply and further develop analytical methods such as cohort analysis, customer segmentation, and experimentation, with support from the wider team. Prioritize work based on value and ensure excellence in day-to-day operational … datasets. Strong analytical and problem‐solving foundations, with the ability to investigate questions, identify patterns, and draw evidence‐based conclusions. Experience delivering data‐led analysis or deep‐dived investigations on complex topics, independently and collaboratively, and shaping clear recommendations. Clear written and verbal communication skills, including 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 ...

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 ...

more data-led approach to decision-making across the business. Move quickly from idea to insight, testing hypotheses and delivering clear recommendations. Support analysis including customer segmentation, predictive modelling, cohort analysis and customer lifetime value modelling. Look for new ways to use data to solve real commercial … BigQuery. Experience with BI platforms such as Power BI, Looker, Superset, Preset or Qlik. Experience using Python alongside SQL. An understanding of statistical analysis and machine learning techniques. Experience working with business stakeholders and translating commercial questions into data solutions. The ability to explain technical concepts clearly ...

leading initiatives with real ambiguity, and the ability to build stakeholder alignment without formal authority over the teams they influence. Principal AccountabilitiesCustomer Behaviour & Cohort Analysis: Lead analysis of customer behaviour, lifecycle stages, and cohorts to identify key drivers of activation, engagement, and product usage, delving into complex … problem-solving skills, with the ability to challenge assumptions and navigate complex, ambiguous problems using structured thinking. Proven experience conducting complex data and performance analysis, ideally using SQL to work with large datasets. Ability to translate customer and operational insights into clear, actionable changes across products, processes, or messaging. ...

management accounts: lead the preparation and enhancement of monthly management accounts, KPI schedules and Board materials, working along side the financial accounting team. Variance analysis: deliver monthly variance analysis against budget, re-forecast and prior year - explaining the drivers, not just the numbers - including headcount variance narratives. Budgeting … long-range planning cycles across P&L, balance sheet and cash flow. Financial modelling: build and maintain robust models, including scenario and sensitivity analysis and 3-5 year plans that can be updated at speed as the outlook changes. Business partnering: support commercial and operational leaders on cost management ...

leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across … business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent ...

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 ...

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 ...

analyses in acquisition funnels to inform marketing spend and product evolutionDrive experimentation rigor: design, implement, and analyze A/B tests, multivariate experiments, and cohort studiesTurn experiment results into clear, actionable recommendationsInfluence data architecture by contributing to schema design that enable more insightsBuild high quality, scalable pipelines and transformations … Qualifications3+ years of experience in data analytics, ideally within a product-led or high-growth tech environmentDeep expertise in analytical methods including LTV modelling, cohort analysis and regression techniques. High proficiency in SQL and strong command of one or more analytics tools or statistical packages (e.g., Python ...

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. ...

close them. Partner with operators to understand their retention and engagement challenges, and translate those into data‐driven recommendations. Develop scalable insight frameworks - benchmarks, cohort analyses, segment performance models - that can be applied across multiple operators simultaneously. Produce regular insight packages that help operators understand player behaviour, campaign effectiveness ...

scripts, or advanced ChatGPT workflows) to accelerate reporting cycles and predictive forecasting. Unit Economics Deep-Dives: Deconstruct LTV/CAC ratios, payback periods, and cohort retention profiles to advise on capital allocation across different geographies. Data Synthesis: Work closely with the Data team to ensure our "Source of Truth … robust, moving beyond static sheets into dynamic, real-time dashboards. Scenario & Sensitivity Analysis: Build "stress-test" models to evaluate the impact of supply chain shifts, pricing elasticity, and new market entry variables. Operational Partnering: Act as a financial co-pilot for the Marketing and Operations teams, translating their roadmaps ...

Snowflake Cortex, dbt Semantic 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 ...

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 ...

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-differencesCatalog, product attribute, or search data What success looks like In your first 30 days you understand the stack ...

markets.What you’ll bringProven experience turning complex customer and financial data into strategic recommendations.Practical understanding of subscription metrics, including customer lifetime value, cohort analysis, and retention rates.Ability to break down ambiguous commercial challenges into clear analytical frameworks.Experience communicating technical insights clearly to non-technical business partners.Experience guiding, coaching ...

markets. What you'll bringProven experience turning complex customer and financial data into strategic recommendations. Practical understanding of subscription metrics, including customer lifetime value, cohort analysis, and retention rates. Ability to break down ambiguous commercial challenges into clear analytical frameworks. Experience communicating technical insights clearly to non-technical ...

What you’ll bring Proven experience turning complex customer and financial data into strategic recommendations. Practical understanding of subscription metrics, including customer lifetime value, cohort analysis, and retention rates. Ability to break down ambiguous commercial challenges into clear analytical frameworks. Experience communicating technical insights clearly to non-technical ...

doing next. You have a proven track record of influencing product through strong "Product Thinking," with deep expertise in conversion funnels, activation, retention, and cohort analysis. You are an independent project leader who can take a vague business question and turn it into a structured, technical investigation without needing ...

doing next.You have a proven track record of influencing product through strong "Product Thinking," with deep expertise in conversion funnels, activation, retention, and cohort analysis.You are an independent project leader who can take a vague business question and turn it into a structured, technical investigation without needing a map.You ...

Financial Planning & Analysis Recruitment FD Capital recruits permanent FP&A professionals for UK businesses — from FP&A Analysts and FP&A Managers through to Heads of FP&A. Every candidate we place holds a recognised accountancy or finance qualification and has demonstrable experience in financial modelling, budgeting, forecasting … Analyst is the entry point to the function — responsible for building and maintaining financial models, preparing management reporting packs, performing variance analysis and supporting the budget and forecast cycles. Typical backgrounds include newly qualified ACA, ACCA or CIMA professionals with two to four years of post-qualification experience ...