Analytics Manager - Marketing Science in London

Analytics Manager - Marketing Science in London

London Full-Time 75000 - 115000 € / year (est.) No home office possible
hackajob

At a Glance

  • Tasks: Lead the strategy and execution of our marketing measurement framework.
  • Company: Join a dynamic team at a growing public company with a global impact.
  • Benefits: Competitive salary, flexible working, private medical insurance, and a paid sabbatical.
  • Other info: Enjoy a fun, pet-friendly office with plenty of group activities.
  • Why this job: Shape marketing effectiveness and drive real business impact with your analytical skills.
  • Qualifications: 4+ years in marketing analytics, strong SQL and Python skills required.

The predicted salary is between 75000 - 115000 € per year.

We're looking for an Analytics Manager to join our Marketing Science team and own the strategy, execution and evolution of our marketing measurement framework. This role is your opportunity to shape how we drive measurable impact of £M’s of marketing investment across the globe. In this role, you'll be a key leader, guiding a team of two analysts to build, maintain, and evolve our triangle of measurements from end to end. The ideal candidate is a highly analytical hands‑on leader with deep technical expertise, a strong understanding of advertising effectiveness and the ability to work cross‑functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams.

Your Mission

You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best representation of marketing’s impact and actionable insights that drive marketing optimization across the company. If you are passionate about advertising effectiveness, intellectually curious and outcome oriented, this role is for you!

Key Responsibilities

  • Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models.
  • Collaborate effectively with marketing channels, data science and data engineering, and other cross‑functional teams to identify and prioritise key business needs in our measurement products.
  • Manage and develop a team of two analysts in different IC levels, fostering their growth and ensuring high‑quality output, and that the project priority definition is outcome oriented.
  • Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations.
  • Leverage AI tools to optimise and scale our processes, and provide deep‑dives.
  • Define processes for marketing channel optimisation based on different measurement solutions available.
  • Own the end‑to‑end technical build of the new features of the attribution model, leveraging tools like dbt, SQL and Python to create a robust and scalable solution.
  • Generate insights to provide strategic recommendations on how to optimise marketing channels and spend.
  • Act as a subject matter expert on our whole measurement framework.

Qualifications

  • Bachelor’s degree in Statistics, Economics, or other relevant fields.
  • 4+ years of experience in a marketing analytics or data science role.
  • Leadership/management experience is advantageous but not required.
  • Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Lightdash). dbt is advantageous.
  • Experience building and deploying data pipelines and models is essential.
  • Very strong, hands‑on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation.
  • Knowledge of Marketing Mix Models and experimentation.
  • Proven ability to think strategically about how to use and improve an analytical product to drive business value.
  • Excellent project management and stakeholder management skills, with the ability to communicate complex technical concepts to non‑technical audiences.
  • Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing.

Additional Information

  • Base salary of £75,000 - £115,000
  • RSU's in a growing and public company
  • Work from (almost) anywhere in the world for up to 90 days a year
  • Flexible working – you’re trusted to do the right thing and be responsible
  • Private Medical Insurance + Life Insurance
  • Discounted gym memberships and cycle to work scheme
  • A paid 6‑week sabbatical leave after four years
  • 26 weeks maternity leave at full pay
  • An annual self‑development budget
  • Annual Mission Days festival
  • Pet friendly offices
  • Lots of fun group activities like yoga, running and boardgame nights

Find out more about our benefits in our London office.

Analytics Manager - Marketing Science in London employer: hackajob

Join our dynamic Marketing Science team as an Analytics Manager, where you'll lead the charge in shaping our marketing measurement framework and driving impactful insights across the globe. With a strong emphasis on employee growth, we offer flexible working arrangements, generous benefits including private medical insurance, and a unique opportunity for a paid sabbatical after four years. Our vibrant work culture encourages collaboration and innovation, making it an excellent place for those passionate about advertising effectiveness and looking to make a meaningful impact.

hackajob

Contact Detail:

hackajob Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Manager - Marketing Science in London

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those already working in marketing analytics. A friendly chat can lead to insider info about job openings or even a referral.

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your past projects, especially those involving marketing measurement frameworks. This will help you stand out and demonstrate your hands-on experience.

Tip Number 3

Get ready for interviews by brushing up on your technical knowledge. Be prepared to discuss SQL, Python, and marketing attribution models in detail. We want to see your analytical prowess in action!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Analytics Manager - Marketing Science in London

Analytical Skills
Marketing Attribution Models
Experimentation
Marketing Mix Models
SQL
Python
Data Visualisation Tools

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Analytics Manager role. Highlight your expertise in marketing analytics, SQL, and Python, and don’t forget to showcase any leadership experience you have!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about advertising effectiveness and how your analytical mindset can drive measurable impact. Be sure to mention your experience with marketing measurement frameworks.

Showcase Your Technical Skills:Since this role requires deep technical expertise, make sure to highlight your proficiency in SQL, Python, and any data visualisation tools you've used. If you’ve worked with dbt or built data pipelines, definitely include that!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the process. We can’t wait to hear from you!

How to prepare for a job interview at hackajob

Know Your Numbers

As an Analytics Manager, you'll need to demonstrate your deep understanding of marketing metrics. Brush up on key performance indicators (KPIs) and be ready to discuss how you've used data to drive marketing effectiveness in previous roles.

Showcase Your Leadership Skills

Even if you haven't managed a team before, think about times when you've led projects or mentored others. Be prepared to share specific examples of how you've guided teams towards achieving measurable outcomes.

Familiarise Yourself with Tools

Make sure you're comfortable discussing tools like SQL, Python, and dbt. If you have experience with data visualisation tools, bring that up too! Being able to talk about your technical skills confidently will set you apart.

Prepare for Cross-Functional Collaboration

This role requires working with various teams, so think about your past experiences collaborating with marketing, data science, and engineering teams. Have examples ready that highlight your ability to communicate complex concepts to non-technical stakeholders.