Marketing Science Analyst

Marketing Science Analyst

Posted 1 day ago by Morgan McKinley

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Negotiable
Undetermined
Undetermined
London Area, United Kingdom
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Advanced Mathematics Agenda (Meeting) Budgeting Confidence Intervals Constituent Relationship Management Customer Relationship Management (CRM) Software Data Science Finance Input/Output Investments Marketing Mix Predictive Modeling Probability Probability And Statistics Return On Investment SQL (Programming Language) Statistics

Summary: The Marketing Science Analyst role focuses on strategic modeling and budget optimization, advanced analytics, and causal experimentation within the marketing department. The position requires collaboration with finance and marketing leadership to optimize budget allocations based on data-driven insights. The analyst will also lead the Data Clean Room strategy and mentor the marketing team on effective metrics. A strong background in data analytics and quantitative fields is essential for success in this role.

Key Responsibilities:

  • Use Marketing Mix Models to provide actionable budget allocation recommendations and inputs for monthly Investment Optimization meetings.
  • Build predictive models to simulate business outcomes under various scenarios.
  • Serve as the analyst lead for Data Clean Room strategy and write advanced SQL queries.
  • Analyze high-value customer segments using Data Clean Rooms.
  • Own the organizational Learning Agenda and design a quarterly roadmap of hypotheses.
  • Design and execute Conversion Lift Studies and Brand Lift Studies.
  • Synthesize results across multiple experiments to establish best practices.
  • Mentor the marketing team on distinguishing between vanity and value metrics.
  • Communicate effectively with business partners and stay updated on industry standards.

Key Skills:

  • 5+ years of experience in market science or data analytics.
  • Bachelor’s or Master’s degree in a quantitative field (Economics, Statistics, Mathematics, Physics, Data Science).

Salary (Rate): undetermined

City: London Area

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: Other

Detailed Description From Employer:

Duration - 12 months

Responsibilities

  • 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.
  • 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.
  • 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).
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