Senior Data Analyst : Client reporting
Listed on 2026-02-28
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Data Mining
Location: Greater London
Senior Data Analyst :
Client reporting - WPP OPEN
London, England, United Kingdom
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.
Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore.
WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500.
Our people are the key to our success. We re committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
Why we re hiring:
The Opportunity:
We are seeking a highly analytical and experienced Senior Data Analyst to join our Customer Success team. In this pivotal role, you will be instrumental in systematically capturing, analyzing, and reporting on direct user feedback to generate rich qualitative and quantitative insights. You will leverage your expertise to drive a deep understanding of our users, influencing product development and strategic decisions.
This role requires a strong independent contributor with a keen eye for detail and the ability to deliver polished, actionable insights.
What you ll be doing:
- Feedback Strategy:
Lead the design of a multi-channel strategy for gathering user feedback (e.g., in-product surveys, external tools, pop-up questions), ensuring comprehensive coverage and data quality. - Survey Development & Deployment:
Independently create, test, and deploy complex surveys to gather both quantitative ratings and rich qualitative commentary. - Data Analysis & Synthesis:
Conduct advanced analysis of structured survey data and unstructured text feedback to identify trends, themes, and key verbatim quotes. Apply sound statistical theoretical concepts (univariate, bivariate, and multivariate methods) to derive robust conclusions. - Reporting & Data Visualization:
Develop and distribute regular feedback summary reports and create compelling dashboards for data reporting, ensuring high finesse in graphical representation of analytical outputs. - Tool Management:
Own the relationship and management of any third-party survey tools, optimizing their use for maximum efficiency and insight generation. - Stakeholder Engagement:
Proactively engage with senior stakeholders independently, prioritize work, and manage expectations, translating complex data into clear, business-oriented narratives. - Maintain and enhance a comprehensive calendar and repository of all survey instruments.
- Produce regular, automated feedback insight reports with minimal supervision, demonstrating strong data interpretation capabilities.
- Contribute to and refine a robust database of categorized qualitative feedback.
- Provide critical qualitative and quantitative user feedback data to the Digital Pulse for storage and to Value Measurement and Customer Insights for deeper analysis.
- Consume platform access from product teams to embed surveys; data storage and processing from Digital Pulse.
- Collaborate effectively with colleagues in the Survey Operations & Analytics team, including survey programmers, third-party vendors, and partners, for efficient survey execution and data collection.
- Work with virtual, multicultural global teams, requiring cross-time zone engagement.
What you ll need:
- Bachelor s or Master s degree with demonstrated high academic achievement in analytics, data science, or mathematics.
- Relevant work experience in market/consumer research data analytics.
- Preferred:
Statistics/Applied Statistics, Operational Research, Economics, or Mathematics. - 6-8 years of relevant experience in the field of market research and data analytics.
- Strong analytical capabilities: advanced data management, processing, and analysis skills.
- Expert hands-on experience with Advanced…
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