Marketing Intelligence (Analytics) Lead
Marketing Intelligence (Analytics) Lead

Marketing Intelligence (Analytics) Lead

Full-Time 85000 - 115000 £ / year (est.) No home office possible
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Aspire Data Recruitment

At a Glance

  • Tasks: Lead the development of a marketing measurement framework to assess marketing effectiveness.
  • Company: Dynamic company in London offering a hybrid work environment.
  • Benefits: Competitive salary, bonus, and comprehensive benefits package.
  • Other info: Collaborative culture with opportunities for professional growth and development.
  • Why this job: Make a real impact by guiding marketing investments with data-driven insights.
  • Qualifications: Advanced analytical skills and experience in marketing attribution and campaign performance analysis.

The predicted salary is between 85000 - 115000 £ per year.

A newly created role to build a marketing measurement framework that assesses the true effectiveness of marketing activity and guides where investment should be made. In this role, you’ll apply advanced analytical techniques - such as marketing mix modelling, multi‑touch attribution, econometrics, and incrementality testing - to understand which channels drive customer acquisition and how marketing contributes to sales outcomes. You’ll work closely with marketing teams to independently evaluate campaign performance, ROI, and channel effectiveness, providing data‑driven recommendations that inform strategy and budget allocation. Ultimately, you’ll help the business gain an unbiased, evidence‑based view of how well marketing performs and where future investment should be made.

The candidate:

  • Advanced analytical and statistical capability, with proven experience in marketing attribution modelling, campaign performance analysis, and ROI measurement.
  • Expertise in multi‑touch attribution, MMM - marketing mix modelling, experimental design, and incrementality testing, with the ability to apply these methodologies in real‑world marketing contexts.
  • Channel‑level marketing experience across paid search (PPC), paid social, and programmatic.
  • Ability to translate complex data insights into clear, actionable business recommendations, tailoring outputs for both technical and non‑technical audiences.
  • Excellent stakeholder management and communication skills, with experience consulting and influencing senior leaders.
  • Deep understanding of digital marketing metrics, customer journey analytics, and performance measurement frameworks across channels and platforms.
  • Commercial mindset with a collaborative working style, able to partner effectively with marketing, finance, data, and technology teams to drive data‑informed decision‑making.

Nice to have:

  • Proficiency in Python and SQL to support modelling, data manipulation, and exploratory analysis.
  • Broader machine learning experience, such as uplift modelling, predictive modelling, clustering, or propensity modelling.
  • Experience in market research methodologies (quantitative or qualitative) to complement analytical insight with customer understanding.
  • Exposure to customer journey, behavioural analytics, profitability or LTV, helpful for linking marketing impact to downstream customer outcomes.

Marketing Intelligence (Analytics) Lead employer: Aspire Data Recruitment

As a Marketing Intelligence Lead in London, you will join a forward-thinking company that values innovation and analytical excellence. With a hybrid work model, competitive salary, and a strong emphasis on employee development, you'll thrive in a collaborative culture that encourages data-driven decision-making and strategic insights. The opportunity to work closely with diverse teams and influence key marketing strategies makes this role not just a job, but a meaningful career path.
Aspire Data Recruitment

Contact Detail:

Aspire Data Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Marketing Intelligence (Analytics) Lead

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend marketing events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

✨Tip Number 2

Show off your skills! Create a portfolio or case studies showcasing your analytical prowess and successful campaigns. We want to see how you’ve used advanced techniques like marketing mix modelling and multi-touch attribution to drive results.

✨Tip Number 3

Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you’ve influenced senior leaders with data-driven recommendations. We love candidates who can communicate complex insights clearly!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talent that can help us build a robust marketing measurement framework.

We think you need these skills to ace Marketing Intelligence (Analytics) Lead

Advanced Analytical Skills
Statistical Capability
Marketing Attribution Modelling
Campaign Performance Analysis
ROI Measurement
Multi-Touch Attribution
Marketing Mix Modelling (MMM)
Incrementality Testing
Channel-Level Marketing Experience
Paid Search (PPC)
Paid Social
Programmatic Advertising
Data Translation Skills
Stakeholder Management
Communication Skills
Proficiency in Python
Proficiency in SQL
Machine Learning Experience
Market Research Methodologies
Customer Journey Analytics

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly to the role of Marketing Intelligence Lead. Highlight your experience with marketing mix modelling and campaign performance analysis, as these are key for us. Use specific examples that showcase your analytical skills and how you've driven results in previous roles.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about marketing analytics and how your expertise aligns with our needs. Be sure to mention your experience with multi-touch attribution and how you can translate complex data into actionable insights for our teams.

Showcase Your Technical Skills: If you've got proficiency in Python and SQL, flaunt it! We love candidates who can handle data manipulation and exploratory analysis. Mention any relevant projects or experiences where you've applied these skills to solve real-world marketing challenges.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy and straightforward!

How to prepare for a job interview at Aspire Data Recruitment

✨Know Your Analytics Inside Out

Make sure you brush up on your advanced analytical techniques, especially marketing mix modelling and multi-touch attribution. Be ready to discuss how you've applied these methods in real-world scenarios, as this will show your practical experience and understanding of the role.

✨Prepare Data-Driven Recommendations

Think about specific examples where you've evaluated campaign performance and provided actionable insights. Prepare to explain how your recommendations influenced strategy and budget allocation, as this will demonstrate your ability to translate complex data into clear business outcomes.

✨Showcase Your Stakeholder Management Skills

Since this role involves working closely with various teams, be prepared to share experiences where you've successfully consulted and influenced senior leaders. Highlight your communication skills and how you've tailored your insights for both technical and non-technical audiences.

✨Familiarise Yourself with Digital Marketing Metrics

Brush up on key digital marketing metrics and customer journey analytics. Being able to discuss how these metrics link to marketing effectiveness will show that you understand the bigger picture and can contribute to data-informed decision-making across channels.

Marketing Intelligence (Analytics) Lead
Aspire Data Recruitment
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