Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Marketing Analytics Manager

3Search
London
9 months ago
Applications closed

Related Jobs

View all jobs

Marketing Data Analyst

Digital Data Analyst – Fan & Marketing

Senior Data Analyst - Marketing

Senior Strategic Analytics and Data Science Manager

Senior Strategic Analytics and Data Science Manager

Data Scientist - Borrow Analytics Manager

Senior Manager - Marketing Analytics


£80,000 - £90,000 + Discretionary Bonus

Central London – West End

Hybrid, 2 days per week in-office



About the Company

Our client, a prominent global leader in the residential property industry, is at the forefront of leveraging data-driven marketing strategies. Known for their innovative approach and focus on client-centric solutions, they are undergoing a period of growth and transformation. This role presents an opportunity to join a forward-thinking organisation where your expertise in marketing insights will play a critical role in shaping their success.



What is the role about

TheSenior Marketing Analytics Managerwill be the driving force behind gathering and transforming data into actionable marketing insights. Collaborating with marketing managers, central analytics, and external agencies, this role is central to delivering impactful strategies across the marketing spectrum.


You will lead a team of three analysts, mentor their professional development, and ensure insights are effectively communicated across the organisation. With responsibilities in marketing mix modelling (MMM), client insights, marketing measurement and campaign evaluation, this is an exciting opportunity for an experienced professional to make a significant impact.



What you will do as part of the role

  • Develop and communicate actionable insights that empower marketing managers to make data-driven decisions.
  • Oversee and enhance marketing measurement strategies, including collaboration with third-party agencies on MMM.
  • Align insights with central analytics teams to ensure a cohesive approach to data-driven initiatives.
  • Lead client and marketing analytics work, driving improvements in segmentation, targeting, and campaign effectiveness.
  • Shape storytelling from data, ensuring insights are clear, impactful, and engaging for stakeholders.
  • Oversee the development and maintenance of client intelligence and marketing performance dashboards and reports.
  • Create compelling, visually appealing data visualisations that effectively communicate insights.
  • Lead brand tracking, marketing-mix modelling and key client research projects with support from our external agencies.
  • Identify, analyse, and present on industry/competitor, client and business performance-related trends to inform strategic planning.



Essential Skills and Experience

  • 7–10 years of experience in marketing insights, analytics, or related fields.
  • Good work experience with SQL
  • Previous experience working for D2C businesses, ideally with branches and stores.
  • Strong experience in Marketing Analytics, including MMM, econometrics, measurement.
  • Understanding of Python, statistical modelling, regression analysis, and machine learning to be able to talk to technical stakeholders and understand the work your team does.
  • Proven ability to translate complex data into compelling narratives for non-technical stakeholders.
  • Demonstrated team leadership experience, with skills in coaching and mentoring analysts.
  • Collaborative mindset, with experience working cross-functionally and managing agency relationships.
  • Can-do attitude, being proactively speaking to several internal teams and understand needs.



Benefits

  • Hybrid working model, offering flexibility with 2 in-office days per week (Tuesday and Thursday).
  • Opportunity to lead and mentor a high-performing insights team.
  • Exposure to cutting-edge marketing strategies and tools.
  • A collaborative, innovative environment within a growing organisation.



Ready to lead the way in marketing insights? Apply to the role or email to have the opportunity to work with our client and shape the future of data-driven marketing strategies.



Equality and Inclusion Statement

At 3Search, we are committed to promoting equality of opportunity for all employees and job applicants.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.