• Insight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you're in the room. • Deep customer and business understanding. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews. • Experimentation at portfolio scale. Own experiment strategy across your product areas — design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows. • AI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output — validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always. • Connecting dots no one else sees. You operate across product areas, experiments, and data sources — surfacing patterns, opportunity-sizing insights, and strategic bets that siloed analysis misses. You shift how leadership thinks about growth. • Raising the bar for the entire team. You set the standard for how AI and analytical rigor work together. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster — you make it the team's new baseline.

• Execute complex analytical deep dives on key product areas • Partner with product teams to design experiments (e.g., A/B tests) • Proactively monitor product KPIs and health metrics • Translate analytical findings into compelling business narratives • Work closely with Data Engineering and Product Engineering

• Translate product initiatives into real-world workflows: Turn high-level product ideas into detailed advice processes, requirements and logic. • Act as a financial advice SME: Provide expertise on advice processes, suitability standards and FCA expectations. • Support solution design: Work with engineering teams to ensure features reflect real adviser workflows and operational realities. • Validate product outputs: Review and test outputs from an adviser, paraplanner and compliance perspective. • Drive product improvement: Identify gaps, edge cases and opportunities to refine solutions during development.

• Monitor in-game user actions and journey funnels to uncover insights and player patterns • Analyze and optimize monetization models (IAP, ads) and retention KPIs • Build intuitive dashboards and regular reports to track key performance metrics for stakeholders • Design and evaluate A/B tests for gameplay features, UI elements, and marketing strategies • Develop predictive models for user lifetime value (LTV), churn, and engagement • Work closely with UX/UI designer, product manager, and marketing to provide actionable insights • Partner with the data engineer to ensure data quality, pipelines, and storage are optimized.