Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
lift, and guide rate/offer changes. Design and analyse A/B and multivariate tests across landing pages, journeys and partner traffic. Build automated reporting (e.g., weekly KPIs, cohort/LTV, source quality) in SQL and visualisation tools. Translate findings into clear actions for Marketing, Commercial and senior leadership. Support new product lines (e.g., line of credit) with … Skills & Experience Essential: 3+ years' analytics experience (financial services strongly preferred). Strong SQL for data extraction, joins, window functions and performance tuning. Proficiency in Python or R for analysis and experimentation (Python preferred). Proven experience with A/B testing: design, power, analysis and clear read-outs. Dashboarding in Power BI/Tableau/Looker and … funnels, broker/affiliate performance and lead quality diagnostics. Desirable: Experience in short-term lending or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic More ❯
Manchester Area, United Kingdom Hybrid / WFH Options
Harnham
lift, and guide rate/offer changes. Design and analyse A/B and multivariate tests across landing pages, journeys and partner traffic. Build automated reporting (e.g., weekly KPIs, cohort/LTV, source quality) in SQL and visualisation tools. Translate findings into clear actions for Marketing, Commercial and senior leadership. Support new product lines (e.g., line of credit) with … Skills & Experience Essential: 3+ years’ analytics experience (financial services strongly preferred). Strong SQL for data extraction, joins, window functions and performance tuning. Proficiency in Python or R for analysis and experimentation (Python preferred). Proven experience with A/B testing: design, power, analysis and clear read-outs. Dashboarding in Power BI/Tableau/Looker and … funnels, broker/affiliate performance and lead quality diagnostics. Desirable: Experience in short-term lending or consumer finance (pricing, underwriting, collections KPIs). Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention). Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt. Comfort working with messy partner data; building validation and reconciliation checks. Basic More ❯
expertise in in-product optimisation and customer journey mapping. This role is central to driving measurable improvements in user acquisition, activation, engagement, and retention through data-driven experimentation, funnel analysis, and personalized journey building. The ideal candidate combines analytical rigour with customer empathy, knows how to translate insights into seamless product experiences, and has the technical acumen to work … various marketing functions to align in-product and out-of-product experiences (email, push, etc.). Develop and maintain a journey playbook to ensure consistency across user segments. Insights & Analysis Use quantitative (analytics, funnel tracking, cohortanalysis) and qualitative (user testing, surveys, feedback) data to identify barriers to conversion. Partner with data teams to segment users and More ❯
join their team on an initial 12 month assignment. This position is crucial to driving measurable improvements in user acquisition, activation, engagement, and retention through data-driven experimentation, funnel analysis, and personalised journey building. Responsibilities: Design and execute A/B and multivariate tests to improve in-product conversion and engagement metrics. Own the experimentation roadmap across onboarding, upsell … align in-product and out-of-product experiences (email, push, etc.). Develop and maintain a journey playbook to ensure consistency across user segments. Use quantitative (analytics, funnel tracking, cohortanalysis) and qualitative (user testing, surveys, feedback) data to identify barriers to conversion. Partner with data teams to segment users and personalise journeys. Provide actionable insights to product More ❯
dashboards with their analytics team to track progress. Map and optimise customer journeys across the product lifecycle, identifying friction points and opportunities for growth. Use quantitative (analytics, funnel tracking, cohortanalysis) and qualitative (user testing, surveys, feedback) data to identify barriers to conversion. Work closely with product managers, UX/UI designers, and engineers to ship impactful optimisations. More ❯