Marketing Science Analyst

Duration - 12 months Responsibilities 1. Strategic Modeling & Budget Optimization (40%) ● MMM: Use the output from our Marketing Mix Models, translating complex response curves and saturation analysis into clear, actionable budget allocation recommendations. Provide inputs for monthly "Investment Optimization" meetings with Finance and Marketing leadership to defend budget shifts based on marginal ROI (mROI) forecasts. ● Forecasting: Build predictive models to simulate business outcomes under various economic and budgetary scenarios, acting as the "radar" for the marketing department. 1. Data Clean Room & Advanced Analytics (30%) ● DCR Architecture: Serve as the analyst lead for our Data Clean Room strategy, specifically within Meta Advanced Analytics (AA) ● SQL: Write and optimize advanced SQL queries to join hashed first-party data (CRM) with platform exposure data. ● Audience Science: Utilize DCRs to analyze the performance of high-value customer segments, moving beyond generic "Lookalikes" to precision-engineered cohorts based on LTV and retention probability. 1. Learning Agenda & Causal Experimentation (30%) ● Agenda Design: Own the organizational Learning Agenda. define a quarterly roadmap of hypotheses, prioritizing tests based on potential business impact and estimated confidence intervals. ● Experimental Execution: Design and execute rigorous Conversion Lift Studies (CLS) and Brand Lift Studies (BLS). Calculate power requirements, define holdout groups, and oversee the technical implementation of tests. ● Meta-Analysis: Synthesize results across multiple experiments to codify "best practices" for Creative and Media teams. ● Cross-Functional Education: Act as a mentor to the broader marketing team, teaching them to distinguish between "vanity metrics" (clicks, ROAS) and "value metrics" (incremental sales, profit). ● Communicate effectively in both verbal and written form with business partners. ● Stay up to date with industry standards and best practices; explore and evaluate new tools and technologies for reporting. Skills \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Qualifications ● [Must have] 5+ years of experience working in markets science or data analytics teams or other relevant roles. ● [Must have] Bachelor’s or Master’s degree in a quantitative field (Economics, Statistics, Mathematics, Physics, Data Science).