Senior Associate, Data Analytics & BI, GOC

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. The role involves dashboards, reporting, measurement frameworks, data validation, and QA for WPP Media.

Responsibilities

Develop, update, and maintain highly interactive dashboards and visualizations; Produce recurring and ad-hoc reports on digital media campaign performance; Support the development of campaign measurement frameworks, aligning KPIs with campaign objectives and establishing performance benchmarks; Manage reporting playbooks, operations calendars, and reporting milestones; Design, write, and execute test plans, test cases, and automated validation scripts; Perform data validation and reconciliation between visualization platforms (Power BI, Datorama, Tableau) and underlying raw data sources or warehouses; Support the development of paid media taxonomy and ensure adherence to data governance requirements; Define business requirements for Data Operations and Data Engineering teams; Support the intake and quality assurance of partner-provided performance data; Coordinate project timelines and deliverable schedules, communicating progress, risks, and dependencies; Adapt to changing business needs by supporting different onshore agency teams; Identify and optimize repetitive tasks; Maintain documentation of workflows, data schemas, QA testing processes, and change logs

Requirements

5+ years of professional experience in Business Intelligence, Data Analytics, or Data QA; Advanced, hands-on expertise in Power BI; Advanced Excel proficiency; Proven understanding of software QA methodologies, test-case planning, and automated testing frameworks applied to data pipelines; Deep familiarity with ad-tech and digital platforms, such as Google Campaign Manager, social platforms, and DSPs, as well as web analytics tools; Exceptional written and verbal English communication skills, with the ability to collaborate within an onshore/offshore operating model; A bachelor's degree in Computer Science, Information Technology, Engineering, Business Analytics, Data Science, or a related field, or equivalent professional experience

Nice to have

Proficiency in SQL, Python, or ETL scripting; Exposure to cloud infrastructure, preferably Google Cloud Platform, including BigQuery, Cloud Storage, and Dataflow, or equivalent AWS/Azure services; Experience with Datorama, Tableau, or Looker

Benefits

Competitive medical insurance; Group retirement plans; Vision and dental insurance; Significant paid time off; Preferential partner discounts; Employee mental health awareness days; Employee resource groups and professional development opportunities