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

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