Marketing Scientist (Marketing Mix Modelling)

Role Overview We are seeking a Marketing Analyst to join our team to drive performance measurement, optimise marketing effectiveness, and deliver actionable insights. This role is central to linking marketing activity with financial outcomes — specifically demonstrating Return on Advertising Spend (ROAS) and Return on Investment (ROI). The ideal candidate will be highly data-driven, comfortable managing multiple data sources, and able to translate complex marketing and experimentation results into clear, commercially relevant recommendations.

Key Responsibilities Marketing Performance Analysis Measure and report on ROI and ROAS across all marketing channels (digital, affiliate, offline, sponsorships, and events). Build dashboards and reporting frameworks to track metrics and long-term customer value against media spend. Evaluate underperforming affiliates, vendors, and channels to identify optimisation opportunities.

Conduct cohort analysis to link marketing spend with downstream behaviours (retention, LTV, churn). Experimentation & Measurement Support A/B test analysis (Optimizely, PostHog, Mixpanel, GA4) to validate marketing hypotheses. Contribute to Marketing Mix Modelling (MMM) and attribution frameworks (e.g., Robyn, Bayesian models).

Ensure statistical soundness of tests and create easy-to-interpret summaries for stakeholders. Data Management & Tooling Work across multiple data sources: CRM, Mixpanel, Google Analytics, affiliate platforms, paid media platforms, and internal databases. Clean, validate, and structure large datasets for analysis (SQL, Python, or R experience preferred).

Collaborate with engineers to ensure data pipelines are reliable and marketing events are tracked correctly. Insight & Communication Produce regular performance packs for leadership teams, focusing on financial returns (“money in the bank”). Balance commercial metrics (ROI, deposits, revenue) with secondary metrics (views, engagement, brand exposure) for holistic analysis.

Present insights in clear, executive-ready formats (dashboards, one-pagers, and presentations). Key Skills & Experience Strong analytical skills with experience in marketing performance measurement (ROI, ROAS, MMM, attribution). Proficiency in SQL and either Python or R for data analysis and modelling.

Experience with digital analytics platforms (Mixpanel, GA4, Adobe Analytics, etc.). Familiarity with A/B testing tools (Optimizely, PostHog, Kameleoon) and experiment evaluation. Ability to work with affiliate data, paid media datasets, and marketing campaign calendars.

Strong data visualisation skills (Tableau, Power BI, Looker, or similar). Excellent communicator, able to translate data into business insights. Previous experience in high-transaction industries (e.g., eCommerce, betting, gaming, finance, healthcare) is a plus.

What Success Looks Like Clear, reliable reporting on ROI and ROAS that informs marketing spend decisions. Early identification of underperforming campaigns, affiliates, or vendors with actionable recommendations. Contribution to a robust measurement culture, where marketing and product teams trust the data and act on insights.

Delivering analysis that connects marketing investment directly to commercial outcomes. Package Competitive salary Flexible / remote-first working Opportunity to shape the measurement and experimentation culture within a growing business