Senior Data Analyst - Marketing Science

SENIOR DATA ANALYST - MARKETING SCIENCE

UP TO £65,000 + BENEFITS

LONDON – 4 DAYS PER WEEK IN HAMMERSMITH

Please note: you must have full UK right to work and be able to commute to Hammersmith four days per week.

ABOUT THE BUSINESS

This is a fast-growing digital media and subscription platform operating at scale across multiple markets. The business combines content, advertising, and subscription revenue models and is undergoing rapid growth in its analytics capability. With a strong emphasis on data-driven decision-making, the company is investing heavily in measurement frameworks that enable smarter spending, sharper marketing effectiveness, and sustainable subscriber growth.

THE TEAM

You’ll join the newly established Marketing Analytics function; a specialist group focused on advanced measurement, marketing mix modelling, experimentation, and campaign performance evaluation. Sitting within the wider Analytics organisation (which includes content analytics, local analytics, and subscriber growth), this team partners closely with global stakeholders and plays a pivotal role in shaping how marketing investment decisions are made.

You’ll work closely with performance marketing, brand marketing, research, finance, and an internal analytics team based in the US, while reporting directly into the Head of Marketing Analytics.

The environment is young, collaborative, and still being shaped, offering the rare opportunity to define processes, build new frameworks, and pave the way for best-in-class marketing measurement.

THE ROLE

This is a hands-on and highly strategic MMM role, responsible for building, refining, and operationalising measurement models that drive smarter marketing decisions.

You’ll be a key partner in helping the business understand how campaigns perform, what drives incremental growth, and how budgets should be allocated across channels. This is far more than running models — you’ll play a central part in turning insights into real-world decisions.

Key responsibilities include:

• Building, maintaining, and evolving MMM models to understand the impact of marketing on subscriber growth and engagement.
• Supporting the transition from MMM to complementary approaches such as geo-testing, incrementality testing, and A/B experimentation.
• Designing creative test-and-learn frameworks to measure campaign performance more accurately.
• Working closely with marketing teams to ensure insights translate into clear recommendations and implemented actions.
• Partnering with commercial stakeholders to assess forecast accuracy and support campaign planning.
• Collaborating with performance, brand, and finance teams to communicate findings and influence investment decisions.
• Contributing to the development of measurement methodologies across a scaling analytics organisation.

SKILLS & EXPERIENCE REQUIRED

Essential:

• Proven experience in Marketing Mix Modelling and marketing effectiveness frameworks.
• Strong SQL skills (high bar – candidates must be comfortable scoring 10–11 out of 15 on SQL assessments).
• Hands-on experience with R or Python for statistical modelling.
• Strong experimentation background (A/B testing, geo-testing, incrementality).
• Excellent communication skills — able to simplify complex models and influence senior, non-technical stakeholders.
• Ability to translate insights into actionable recommendations and ensure follow-through.

Desirable:

• Experience working with commercial stakeholders in media, advertising, or subscription environments.
• Exposure to international teams or matrixed organisations.
• Ability to build credibility quickly in a fast-paced, growing analytics function.

WHY APPLY?

• Shape a new marketing analytics function from the ground up.
• Work across a broad and influential stakeholder group, including commercial, media, brand, and finance teams.
• Build advanced MMM and experimentation frameworks that directly influence budget allocation and subscriber growth.
• Join a young, high-growth business where analytics is deeply valued and still evolving — giving you the chance to define the blueprint going forward.