Product Operations Data Analyst

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 

Attributes: 

• 3+ years of experience in data analysis 

• Strong technical capability in SQL and Excel, with confidence working directly with large datasets 

• Proven experience creating clear, reliable dashboards and reports in Power BI 

• Experience cleaning, validating, and standardising data from multiple sources 

• Solid understanding of operational metrics, KPIs, and recurring performance reporting 

• Good judgement in selecting the most appropriate data to meet defined reporting requirements 

• Practical experience identifying opportunities to automate reporting or data preparation, using a mix of self‑service solutions and supported development 

• Detail‑oriented, delivery‑focused, and comfortable working from defined requirements 

• Clear communicator, able to explain data, outputs, and limitations to non‑technical stakeholders 

• Experience working with product, operations, content, or financial data is beneficial 
  
  Other: 

• You may be asked to undertake additional duties to those above, either on a temporary or permanent basis, which the Company reasonably believes you are capable of carrying out, or for which you will be trained.  

• Relevant professional, ethical and health and safety standards apply to this role 

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion