Data Analyst

Why we're hiring:

We are looking for a Data Analyst to support in the continued development of WPP’s client operations analytics team, using business intelligence tools and visualisations to share with WPP HQ and the wider WPP network.

What you'll be doing:

Reporting into the Director of Data Operations, this role will work in several capacities including analysing data, creating technical solutions, assessing business issues, rolling out a software solution and building internal client relationships. In this role you will help to bring insights directly to the business, enabling senior stakeholders to make informed data driven decisions on a daily basis.

The role will be as follows:

• Support our ETL (Extract, Transform & Load) process for all current & future data feeds
• Work with all existing agencies data feeds to identify & resolve any validation concerns
• Create and/or manage WPP’s master data tables
• Assist with new agency/country implementation programmes
• Filter and “clean” data by reviewing validation reports and performance indicators to locate and correct code & data process problems
• Provide ad hoc analysis to key client stakeholders

Who you'll be working with:

You’ll be working closely with all of the Data & Insights team which currently consists of 13 people (8 based in UK, 2 based in Madrid & 3 based in India) who are nice group of individuals and are a close working team that all get on well, and who are looking forward to what this team could achieve in the future.

You will also be working closely with the Data Manager, EVP of Marketing & Growth Operations, other stakeholders from WPP Operating Companies.

We've adopted a hybrid working approach to give more flexibility on where and how we work. Normally we work together in our amazing office twice a week.

This role reports to the Director of Data Operations within the Enterprise Data Group team.

What you'll need:

• Strong analytical and problem-solving skills
• Proficiency in SQL and Python (pandas, PySpark) for data analysis
• Hands-on experience with Databricks or a comparable cloud platform (Snowflake, BigQuery)
• Familiarity with modern data formats (CSV, JSON, Parquet, Delta)
• Attention to detail and a willingness to learn new tools
• Fundamental understanding of REST APIs is desirable, but not mandatory
• Exposure to AI-assisted analytics workflows (e.g. Claude, Copilot, Genie) is a plus

Who you are: