• Own end-to-end marketing measurement across the customer lifecycle, performance marketing, and growth channels. • Design and evolve attribution and incrementality frameworks to drive efficient budget allocation and strategic decisions. • Define and maintain core marketing KPIs, dashboards, and reporting that enable clarity, accountability, and action. • Drive the evolution from descriptive analytics to predictive and prescriptive data science, including models for LTV, CAC, churn, and forecasting. • Apply machine learning approaches to improve targeting, personalization, bidding, and lifecycle optimization. • Build, lead, and mentor a high-performing marketing data science team, establishing best practices and technical rigor. • Act as a strategic partner to Marketing, Growth, Product, Finance, and executive leadership, clearly communicating insights and influencing investment decisions.

• You will be embedded within a specific product team where you will work closely with a senior member of the team to act as a strategic partner to Product and Engineering. • You will work on and own a self-contained project that tackles an ambiguous business problem, using your research and analysis toolkit, to deliver actionable recommendations and/or applied prototypes. • You will take open-ended questions and structure them into solvable applied problems. • Design and analyze complex experiments to measure causal impact in a noisy multi-sided marketplace setting. • Synthesize your findings into strategic recommendations presented to senior leadership and cross-functional partners.

• Define and drive a clear analytics vision aligned to client engagement, media performance, and marketing measurement priorities. • Champion a data-driven culture by embedding analytics into strategic planning, campaign optimization, and decision-making processes. • Lead the development and execution of measurement frameworks tailored to each client’s objectives, ensuring alignment with business goals. • Translate data into actionable insights by identifying performance drivers, resolving anomalies, and crafting compelling narratives that demonstrate media impact. • Establish and maintain robust testing frameworks that are statistically valid and operationally scalable. • Drive confidence and alignment by delivering actionable insights rooted in analytics, business strategy, and persuasive communication. • Provide business feedback as a key stakeholder in the development of standardized dashboards and advanced analytics to measure the effectiveness of campaigns. • Leverage predictive and prescriptive analytics to identify trends, opportunities, and risks related to client behavior and retention. • Utilize advanced analytics to quantify marketing impact and ROI, and partner cross-functionally to diagnose and address performance irregularities. • Implement robust A/B and multivariate testing and experimentation protocols to optimize campaigns and maximize impact.

• Perform analyses on products to answer open-ended questions and provide strategic recommendations. • Design and guide experiments/analysis to measure impact and drive product improvements. • Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.