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Marketing Scientist (Marketing Mix Modelling)
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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.
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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.
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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
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