Marketing Science Analyst

Marketing Science Analyst- London/Hybrid- 6 Months- £320-£370 Umbrella

A global technology company are looking for an experience Marketing Science Analyst to join their team on an initial 6 month assignment. The successful candidate will steward the "Triangulation" of data strategy, leveraging MMM outputs, Data Clean Rooms, and Experimental Lift Design to guide marketing investment.

Responsibilities:

Strategic Modeling & Budget Optimization

• 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

• 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

• 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/ Experience:

• 5+ years of experience working in markets science or data analytics teams or other relevant roles.
• Bachelor's or Master's degree in a quantitative field (Economics, Statistics, Mathematics, Physics, Data Science).
• SQL: Advanced level. Ability to write complex CTEs, window functions, and optimize joins for distributed systems.
• Modeling: Proven experience building or managing Marketing Mix Models (MMM). Understanding of Bayesian inference, adstock transformations, and saturation curves.

Preferred Skills:

• Clean Room: Hands-on experience with at least one major DCR environment (Meta AA, AMC, ADH, Snowflake) is highly preferred.
• Deep understanding of hypothesis testing, confidence intervals, p-values, and selection bias. You know why a test failed, not just that it failed.
• The ability to explain "Posterior Distributions" to a CMO as "Updated Beliefs." You must be a storyteller who uses data as the plot.
• Understanding of AdTech and paid media mechanics, margin profiles, and the difference between ROAS and CAC.
• Well-rounded interpersonal and communication skills with the capacity to build strong relationships and collaborate with multiple stakeholders.

Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles.

We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout.

PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.