Partner with product data science to architect advanced funnels. Move beyond identifying trends to forecasting user behavior and defining the north star metrics for feature adoption and long-term engagement.
Lead the measurement of acquisition and re-engagement campaigns. Develop incrementality frameworks to validate the true ROI of paid and organic efforts. Inform global budget allocation through deep-dive CAC/LTV analysis.
Oversee the development of sophisticated automated reporting suites. Ensure data consistency across Marketing, Product, and leadership teams by building robust data pipelines and Looker/Tableau environments that serve as the single source of truth.
Lead sophisticated segmentation and cohort analysis to drive personalized lifecycle marketing. Identify high-value usage patterns and proactively recommend product or marketing triggers to maximize users.
Synthesize massive, conflicting data points into concise executive-level briefs that influence the strategic direction of Gemini leadership.
Minimum qualifications:
Bachelor's degree in a research or quantitative field, or equivalent practical experience.
5 years of experience designing, scoping, executing, and delivering research and analysis projects.
5 years of experience translating business problems into research questions and translating research findings and insights into marketing recommendations.
Experience managing research and measurement agencies.
Preferred qualifications:
Experience measuring a fast-evolving consumer app or AI-driven product.
Experience with data clustering, lifetime value modeling, and churn prediction to drive marketing automation.
Experience leading project workstreams, managing external agencies, or mentoring junior analysts on technical and storytelling best practices.
Understanding of the iOS/Android tracking landscape, including navigating privacy-safe measurement (SKAdNetwork, Sandbox).
Ability to quickly translate a vague business question into a structured analytical plan and a clear so what for leadership.
