Senior Associate, Data Analytics & Business Intelligence (BI), GOC

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.

For more information, visit wppmedia.com.

As part of the Global Operations Centre (GOC), you will work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment. We are looking for a Senior Data Engineer, Data Operations who will:

3–4 years of relevant professional experience is preferred.
At least 2–3 years of experience in data governance processes within data warehousing, ETL, and business intelligence environments.
Experience with the full development lifecycle of an application or reporting solution, from design through testing and deployment.
Advanced knowledge of SQL, relational databases, and data warehouses, including technologies such as MySQL, PostgreSQL, Redshift, or Snowflake.
Advanced proficiency in at least one programming language, such as Python.
Knowledge of cloud platforms such as Microsoft Azure, Google Cloud Platform, or AWS.
Knowledge of data engineering platforms such as Databricks.
Familiarity with business intelligence tools such as Tableau or Power BI.
Familiarity with project and product management tools such as Jira, Confluence, Smartsheet, or Azure DevOps/VSTS.
Experience with advertising campaign management, media buying, measurement, and analytics platforms, such as Sizmek, Google Campaign Manager, Flashtalking, Moat, DoubleVerify, IAS, MediaOcean, Media Tools, Nielsen, Comscore, social advertising platforms, Google Ads, Bing, Kenshoo, SA360, DV360, Google Analytics, or Adobe Analytics.
Understanding of processes across digital, search, social, and offline media, with experience handling diverse datasets, including paid and owned media data.
Experience in media, digital investment, analytics, or ad operations is preferred.
A bachelor’s or advanced degree in Statistics, Economics, Business, Mathematics, Computer Science, or another scientific discipline is preferred.
Strong attention to detail and a commitment to data accuracy.
Excellent verbal and written communication skills, with the ability to collaborate across functional teams.
Strong organizational and prioritization skills, including the ability to manage multiple projects, competing deliverables, and deadlines.