Principal Data Analyst
Quick Summary
Data Management & Analysis: Manage data extraction, manipulation and validation. Manage data extraction, manipulation, validation, and interrogation using SQL, Python, and other relevant tools.
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
As a Principal Data Analyst, you will join the Gain Theory Data Practice and be embedded within one of our client-focused squads. Working closely with your manager, you’ll collaborate on some of the world’s top brands, gaining hands-on experience with diverse data sources—including media, client-specific, Gain Theory proprietary, sales, and more.
In this role, you’ll be part of a team that processes and organizes data in preparation for modeling. You’ll face exciting challenges and have opportunities to drive innovation and automation across workflows.
As a Principal Data Analyst, you will apply data processing techniques such as SQL, ETL and Python alongside our internal automation tools, to manage, clean, and transform data through efficient pipelines. You’ll also run rigorous data quality assurance processes—ensuring data integrity, which is the foundation of all our work. Additionally, you’ll collaborate with the Data Manager to coordinate with client and agency partners, maintaining the continuous flow of data from key sources. Beyond your squad, you’ll engage with the wider Gain Theory data community, including the Data Centre of Excellence (DCOE), to share best practices and both provide and receive support. The Principal Data Analyst will also mentor and support junior analysts on their projects, helping them learn processes, best practices, and specific tools used by Gain Theory.
At Gain Theory, our teams combine cutting-edge data engineering, advanced analytics, unified measurement solutions, and enterprise-scale platforms to build products that will shape the next decade of faster, smarter, data-informed decision-making. We are committed to ensuring consumer privacy, safeguarding client confidentiality, driving brand growth, and delivering exceptional user experiences.
Responsibilities
~1 min readResponsibilities
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Listing Details
- Posted
- March 16, 2026
- First seen
- March 26, 2026
- Last seen
- April 14, 2026
Posting Health
- Days active
- 19
- Repost count
- 0
- Trust Level
- 39%
- Scored at
- April 14, 2026
Signal breakdown
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