1 to 25 of 30 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

self-service insights. Требования Identify trends and bottlenecks proactively using data; Demonstrate strong Product Thinking and expertise in conversion funnels, activation, retention, and cohort analysis; Independently turn vague business questions into structured technical investigations; Master SQL and use Python; Mentor teammates and help raise the team’s technical ...

Improve user journeys that cross multiple operational systems, including issue classification, contractor availability, scheduling changes, notifications, and case escalation. Measure product outcomes through experiments, cohort analysis, operational metrics, qualitative research, and post-launch reviews. AI-Native Product Development Use agentic prototyping tools to test interaction patterns, conversation flows ...

just conversion mechanics, and you've pivoted a roadmap fast when the evidence demanded itYou're deeply analytical and happy to be hands-on: cohort analysis, retention data, willingness-to-pay testingYou bring real user empathy and clear, direct communication, able to hold your own with senior leadership ...

conversion mechanics, and you've pivoted a roadmap fast when the evidence demanded it You're deeply analytical and happy to be hands-on: cohort analysis, retention data, willingness-to-pay testing You bring real user empathy and clear, direct communication, able to hold your own with senior ...