15 of 15 Cohort Analysis Jobs in London

commercial outcomes. This is not a reporting-only role. We are looking for someone who can independently find the most important questions, structure analysis, connect product usage to outcomes, and help shape roadmap, proposition, and go-to-market decisions across Decision Platform products. You will work closely with Product … 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 ...

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 ...

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 ...

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 ...

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 ...

/retention/lifecycle marketing, ideally at a DTC ecommerce or consumer brand Confident with retention metrics – LTV, repeat purchase rate, churn, cohort analysis Demonstrable record of growing repeat purchase rate and CRM-driven revenue Soft skills Commercial and analytical mindset Self-starter able to own a channel ...

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 ...

/Director of Financial Planning & Analysis London, England, United Kingdom When you join Exclaimer you will join a global award-winning SaaS provider with an exceptional revenue rate, ambitious growth plans, and an inclusive and outcomes-driven culture. Exclaimer is a high-growth SaaS company with 300+ colleagues across … automated billing streams.You will bridge the gap between low-level transactional log data and top-level executive strategy, unlocking deep visibility into unit economics, cohort retention, and capital allocation. Key Responsibilities & Scope Multi-Motion GTM Financial Architecture & Capacity Planning Driver-BasedModeling: Architect dynamic financial models reflecting the distinct economics ...