Senior Data Analytics Manager, Applied Marketing Measurements

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
London
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Python R Statistical Inference A/B Testing Causal Inference Marketing Analytics Leadership

FULL DESCRIPTION

Senior Data Analytics Manager, Applied Marketing Measurements

Company: [Employer hidden — sign up to reveal]

Location: London, United Kingdom

Work Type: Hybrid (minimum 2 days in office per week)

About the role

You’ll lead a team of senior analytics experts responsible for developing the frameworks and tooling that enable [Employer hidden — sign up to reveal]’s marketing analytics and operational teams to make the best decisions every day, from at-scale customer targeting to multi-million euro investments in advertising and branded campaigns. This is a global, cross-functional leadership role with high visibility and ownership. You’ll collaborate closely with leaders across Marketing, Product, and Data.

Main tasks and responsibilities

  • Lead a team of 3–5 Senior/Lead Data Analysts covering Performance, Brand, and CRM Marketing domains.
  • Own strategy and implementation of frameworks for causal inference, segmentation, uplift modeling, experimentation, and other similar areas.
  • Drive the measurement roadmap with internal and external stakeholders (Directors to SVPs of [Employer hidden — sign up to reveal] departments).
  • Build internal tools and models that enable scalable personalization and accurate marketing measurement.
  • Partner with internal teams and external vendors (e.g. Google, Meta, Braze) to shape tooling and playbooks.
  • Ensure methodological excellence and operational efficiency across hundreds of campaigns and millions of communications.

About you

  • 5+ years of experience in analytics, data science, or experimentation, ideally in a large tech environment.
  • MSc in Mathematics, Economics, Statistics, or other quantitative fields.
  • Strong hands-on skills in SQL and either Python or R; deep understanding of statistical inference methods.
  • Proven leadership experience managing technically strong analysts or data scientists.
  • Excellent verbal and written communication skills, English fluency.
  • Bonus if you have a PhD in quantitative field, research experience, or prior work experience with marketing or customer analytics.
  • At [Employer hidden — sign up to reveal], using AI daily is a baseline expectation for everyone.

Why you’ll love it here

[Employer hidden — sign up to reveal]’s Data Analytics teams drive sustainable growth across all business lines. Spread across the organisation, they act as a bridge between executive management and local operations, providing insights and strategies that power smarter decisions.

  • Play a direct role in shaping the future of mobility.
  • Impact millions of customers and partners in 600+ cities across 50+ countries.
  • Work in fast-moving autonomous teams with some of the smartest people in the world.
  • Accelerate your professional growth with unique career opportunities.
  • Get a rewarding salary and stock option package.
  • Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week.
  • Take care of your physical and mental health with our wellness perks.

About us

With over 200 million customers in 50+ countries, [Employer hidden — sign up to reveal] is one of the fastest-growing tech companies in Europe and Africa. Our ultimate goal is to make cities for people, not cars.

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