Executive Reporting (BI Analyst & Data Engineer)
More info
Job type
full time
Experience
mid
Department
Client Teams
6 similar jobs hiring
Job description
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.
For more information, visit wppmedia.com.
About the Role
We are looking for a data-driven professional to support executive-level reporting by combining strong Business Intelligence (BI) capabilities with data engineering expertise. This role will play a key part in transforming raw data into meaningful insights, enabling leadership to make informed, strategic decisions.
Key Responsibilities
- Design, build, and maintain executive dashboards and reports (weekly, monthly, quarterly)
- Translate business and leadership requirements into data models and reporting solutions
- Develop and manage data pipelines to ensure reliable, accurate, and timely data flow
- Integrate data from multiple sources (internal systems, third-party platforms, etc.)
- Ensure data quality, consistency, and governance across reporting outputs
- Provide actionable insights and recommendations to support business strategy
- Collaborate with cross-functional teams (Finance, HR, Operations, Commercial, etc.)
- Automate reporting processes to improve efficiency and scalability
Requirements
- Proven experience in Business Intelligence, Data Analytics, or Data Engineering roles
- Strong proficiency in BI tools (e.g., Power BI, Tableau, Looker)
- Solid SQL skills and experience working with large datasets
- Experience with data pipeline tools and programming languages (e.g., Python, ETL tools)
- Understanding of data warehousing concepts and data modeling
- Strong analytical thinking and problem-solving skills
- Ability to communicate insights clearly to non-technical stakeholders (including executives)
- High attention to detail and strong sense of ownership
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