Job Description
* Own Growth Analytics Initiatives: Proactively identify, scope, and deliver analytics projects that accelerate user growth, engagement, and monetization.
* Experimentation Leadership: Design, implement, and analyze A/B tests and growth experiments, rapidly iterating based on data, and driving projects from hypothesis to measurable impact.
* Actionable Product Insights: Deliver actionable recommendations for product features, onboarding flows, and personalization, tracking implementation through to business impact.
* Build & Maintain Dashboards: Develop and operationalize real-time dashboards (Power BI or similar) for core growth KPIs, ensuring stakeholders always have access to relevant and actionable data.
* Drive Execution Across Teams: Partner closely with Product Managers, Growth Marketers, and Data Product Owners to turn insights into shipped product and campaign improvements.
* Lifecycle & Cohort Analysis: Execute advanced cohort and segmentation analyses, pinpointing key growth levers and enabling precise targeting of high-value users.
* Continuous Improvement: Monitor growth initiatives post-launch, quantify impact, and iterate rapidly based on data—never satisfied with the status quo.
* Champion Data Quality: Work closely with Data Engineering and Analytics Engineering to ensure the accuracy, completeness, and usability of data assets powering growth analytics.
Qualifications
* 4+ years in product or marketing analytics for consumer web / fintech / marketplace products.
* Expert SQL and solid Python or R for adhoc modelling.
* Demonstrated ownership of an experimentation roadmap.
* Handson with modern warehouse stack (Databricks, dbt), PowerBI and services like Snowplow, Unleash, Posthog.
* Proven delivery of LTV/CAC models, retention curves, cohort deepdives, and monetization analyses that changed roadmaps.
* Storytelling: you translate 10krow queries into a oneslide decision for executives.
* Growth mindset: you iterate, learn quickly, and lift others through feedback and mentoring.
* Degree in a quantitative field or equivalent practical experience.
Additional Information
* You are part of a highly profitable, growing tech company
* Flat hierarchies
* Dynamic working and flexible working hours.
* Creative working environment
* Free drinks and snacks in the office