At a Glance
- Tasks: Lead analytics for global clients, enhancing campaign performance through data-driven insights.
- Company: Join WPP Media, a leader in AI-driven media solutions and innovative marketing.
- Benefits: Enjoy competitive salary, professional development, and access to cutting-edge tools like Google Cloud Platform.
- Other info: Collaborative culture focused on creativity, connection, and career growth.
- Why this job: Make a real impact on global brands while working with an award-winning team.
- Qualifications: Degree in a quantitative field and experience in analytics or data science required.
The predicted salary is between 60000 - 80000 £ per year.
About WPP Media
WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world‑class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. WPP Media is WPP's AI‑driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.
This role is within the Data, Tech, and Analytics (DTA) team, within the Global Client Solutions organisation. The Global Client Solutions (GCS) team is responsible for all global clients within WPP. DTA is responsible for servicing clients with best‑in‑class data solutions, data strategy, analytics, technology and AI solutions to drive client growth. 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. We believe the best work happens when we're together, fostering creativity, collaboration, and connection.
Who We Are Looking For
We are seeking an Analytics Manager to join our growing Analytics & Data Science team, reporting into the Data Tech and Analytics global lead. The team focuses on media effectiveness measurement, campaign analysis and client communication to help make brands become more valuable to the world. You will be working with a leading advertiser, JLR, to harness their data and improve the performance of their campaigns, developing and deploying media measurement solutions. Communication with client stakeholders and effective management of assigned tasks is critical in this role.
You will be joining an award winning team, with more than 16 tech and media industry awards to our name, including Campaign Magazine's Tech Awards Agency of the Year, Best Use of AI, and Breakthrough Tech as Part of a Campaign awards. We have invested in giving you the tools to make you as successful as possible, including training/development, full access to Google Cloud Platform and a wider global community of analysts and data scientists.
Some of the things we'd like you to do:
- Strategic Analytics Application: Build and apply a deep understanding of marketing objectives to support Account teams with comprehensive measurement and testing plans. To help deliver "best in class" analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems. Managing the process through to delivery and taking ownership of global roll out.
- Marketing & Business Effectiveness: Lead the creation of clear, robust and thought‑provoking campaign reviews and insights, and show the wider team/clients how to improve effectiveness. Deliver insightful campaign reviews with actionable recommendations to improve marketing effectiveness.
- Measurement frameworks & Experimentation: Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation. Provide actionable insights and design experiments to optimise campaign performance - focusing on brand and conversion lift studies.
- Client Stakeholder Engagement: Build trusted relationships with client’s marketing, analytics, and data leads, acting as a knowledgeable and credible day‑to‑day strategic partner.
- Internal Stakeholder Engagement: Manage relationships with data engineering teams and set automation strategies to integrate new tools and solutions.
- Commercial Contribution: Support the commercial health of your client account by contributing to the scoping and delivery of high‑value analytics projects. Participate in new business pitches, helping to develop data and tech solutions that demonstrate the value of WPP Media’s capabilities. Coordinate with third‑party vendors for the assessment and management of bespoke measurement solutions, including contracts and SOWs.
- Thought Leadership: Translate complex data concepts for stakeholders and contribute to the company's data strategy, promoting data‑driven innovation within the media industry.
Skills & Qualifications
At WPP Media, we believe in the power of our culture and our people. It's what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media's shared core values:
- Highly numerate: able to confidently interpret data and apply statistical tests to draw robust conclusions.
- Holding a degree(s) in a quantitative field: Statistics, Mathematics, Economics, Engineering, Physical Science or Computer Science.
- Experience in analytics, measurement, data science, or a related field.
- Knowledge of applying measurement to media campaigns through Meta/Google, through brand and conversion lift studies, matched market tests or otherwise.
- Well‑developed problem‑solving skills and the ability to think critically and creatively.
- Strong understanding of statistics including hypothesis testing, descriptive statistics and distribution theory.
- Strong communication skills, with the ability to present complex ideas to both technical and non‑technical audiences.
- Able to work independently and as part of a cross‑functional team, using project management tools such as Jira/Trello.
- Ability to project manage analytics projects.
- Highly capable at presenting data in a visually engaging and insightful manner that cuts through the noise.
- Experience in mentorship and management, ability to display empathy in difficult situations and lead by example.
- Stay up‑to‑date with the latest industry trends and advancements in data science and analytics.
- Proficiency in SQL & R/Python, including understanding of packages such as pandas, numpy, scipy & matplotlib.
- Strong understanding of what data points can be collected and analysed in a digital campaign, and how each data point should be analysed, including knowledge of media data and incremental measurement, including both Direct Response and Brand campaigns.
- Working knowledge of advanced measurement tools including MMM, MTA, Sales Lift, and Brand Studies.
Manager, Analytics - Global Clients employer: Wppmedia
WPP Media is an exceptional employer that champions a culture of collaboration, creativity, and respect, ensuring every employee feels valued and has equal opportunities for career progression. With access to cutting-edge tools like Google Cloud Platform and a commitment to professional development, employees are empowered to drive impactful analytics solutions for global clients, including industry leaders like JLR. Joining WPP Media means being part of an award-winning team that not only celebrates innovation but also fosters a supportive environment where your contributions can truly make a difference.
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We think you need these skills to ace Manager, Analytics - Global Clients
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
