7 of 7 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 ...

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 ...

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 ...

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 ...

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 ...