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

Apply Now

Senior CRM Data Analyst

VML South Africa
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Azure Data Engineer

Senior MLOps Engineer

Senior Data Engineer

Senior Data Analyst

Senior Data Analyst

Senior Data Scientist - Financial Services - Outside IR35

Location: London , United KingdomLast Updated: 7/31/2025Requisition ID: 9916Who We Are:

At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse.

Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences.Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work.

Senior CRM Data Analyst
Location: London
Hybrid


We are looking for a Senior CRM Analyst to work within the VML Data team. The Senior Analyst will analyse data to deliver value through understanding our clients’ customers and the performance of marketing activities.

Working closely with the wider analytics and data team you will be responsible for the development and delivery of measurement and insight projects across various marketing activities and contribute to answering business questions, ultimately ensuring that we are making best use of available data to deliver against the client vision.

On a day-to-day basis you will take ownership and leadership of analysis projects, delivering them to a high degree of accuracy and take a role in presenting results and insights to clients.

This is predominantly a technical role grounded in customer data, so you should be experienced in handling large customer data sets. Communication and interpersonal skills are important, both in collaborating with clients and colleagues across multiple disciplines.

Role & Responsibilities

  • Design, manage, and deliver end-to-end analyses aimed at helping Marketing to improve the experience of the customer
  • Deliver measurement and effectiveness projects, including dashboard reporting and deep dive evaluations to understand the impact marketing has on customer behaviour
  • Deliver and take lead on customer projects (segmentation, modelling), utilising statistical techniques to develop a deep understanding of customers
  • Ensure that the most relevant methodologies are applied to measure and evaluate, proactively recommending better ways of working
  • Develop and provide written and verbal output on reports and presentations, supporting with recommendations on marketing strategy
  • Manage and resolve data issues involving quality and consistency of data
  • Be the clients trusted advisor on data and analytical methodology - make it easy for them to make business decisions based on data
  • Present to clients and attend client meetings.
  • Be highly collaborative in integrating data work into agency deliverables, working with strategy and account teams to develop a culture of data informed decision-making.
  • Offer leadership and expertise to support the development of junior team members
  • Develop the skills and knowledge of colleagues, creating and sustaining a learning culture within the team.

Skills and experience

  • 3+ years working in a marketing or related field as an analyst or senior analyst
  • Experience of coding languages for analysis (Python & SQL preferred)
  • Experience of platforms such as Salesforce
  • Experience of developing wrireframes and creating dashboards
  • High level Microsoft Word, Excel and PPT skills
  • Proven record of delivering high quality outputs
  • Attention to detail and a commitment to accuracy
  • Ability to manage own workload autonomously and thrive in an agency environment
  • Able to translate business needs and requirements to analytical methods and outputs
  • Good written and verbal communication skills
  • High level analytical skills in relation to performance analysis
  • Experience of devising, implementing and managing reporting dashboard design, update and automation using tools such as PowerBI, Tableau and Looker Studio
  • Good knowledge of advanced data analysis techniques that include customer segmentation, predictive modelling, multivariate analysis, querying and reporting tools, A/B testing and statistical significance

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through ourRecruitment Privacy Policy . California residents should read ourCalifornia Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy . California residents should read our California Recruitment Privacy Notice . This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.


#J-18808-Ljbffr

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.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.