Senior Marketing Analytics Manager

3Search
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist: Causal Analytics for Marketing AI

Senior Data Engineer

Mobile App Marketing Data Analyst

Head of Data Science

Senior Marketing Data Analyst

Senior Marketing Data Scientist

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.