Product Operations Data Analyst at NielsenIQ

This role supports Open Content Product Operations by delivering high-quality analysis, reporting, and performance visibility against clearly defined requirements. You will work with large, varied datasets to produce robust, trusted outputs that inform operational and product decision-making.  A core focus of the role is working with Open Content data — data spanning multiple sources, formats, markets, and use cases — and applying strong technical skills and data judgement to select appropriate data, ensure quality, and build reliable reporting, primarily using Power BI.  The role also contributes to improving efficiency by reducing manual reporting and data preparation, through a combination of building automation directly where possible and working with technology or data engineering teams to implement more scalable solutions. Key Tasks / Responsibilities: • Deliver analysis, metrics, and reporting against clearly defined output requirements, working closely with Product Operations and Product Management  • Identify, extract, clean, and structure data from available sources to create accurate, consistent datasets  • Build, maintain, and enhance Power BI dashboards and reports, including data models, measures, and recurring reporting outputs  • Create and maintain trusted business metrics and KPIs, ensuring clear definitions, documentation, and transparency around assumptions or limitations  • Analyse open content data to support coverage measurement, performance tracking, and operational insights  • Identify manual, repetitive, or inefficient reporting and data processes and drive improvements through automation, including building automation directly and working with data, platform, or engineering teams to raise tickets and support the creation of APIs, feeds, or data pipelines  • Collaborate with cross‑functional stakeholders (e.g. Product, Operations, Finance, Technology) to gather inputs, align definitions, and ensure reporting accuracy  • Produce clear supporting documentation and summaries to enable effective understanding and reuse of data and reports  • Adhere to data governance, privacy, and quality standards