XFN Data Analyst

XFN Data Analyst We are looking for a meticulous and curious Data Analyst to join our Data Governance team, with a focus on providing robust analysis of our data source quality, defining metrics and reporting to generate actionable insights that drive decision‑making and trust in the data that powers our products and services. As we expand our data sources, we need to understand their relative quality and depth to help us prioritise and harmonise product data in a way that provides the most insightful benefit for our clients. This role will work cross‑functionally across our product teams and with key internal stakeholders, providing regular updates as well as targeted support and insight as required. The Label Insight Data Governance Team, situated in our Product Team, is dedicated to ensuring the quality, integrity, and usability of data across the organization. Comprising three specialised teams—Attribute Health, Source Quality, and Data Support—it works collaboratively to uphold robust data standards, validate AI‑generated outputs, and provide responsive, client‑focused support. Together, the team enables scalable, trustworthy, and insight‑ready data that powers our products and services. Key Responsibilities Evaluate the relative and overall quality of our data sources including data produced by AI models, web scraping, manual coding, and other coded sources Define and implement metrics that provide actionable insights to both improve data reliability and quality, and help support prioritisation and harmonisation of our data sources Provide consistent reporting on data source quality – using dashboards and reports to communicate trends and issues, and proposed actions to address Identify anomalies, patterns, and potential risks in these data sources, with a key focus on ensuring the confidence of AI‑generated data Design and implement methods to detect outliers, inconsistencies, and unexpected trends in data sources Investigate root causes of anomalies and collaborate with technical teams and key stakeholders to address underlying issues Support the application of validation rules, checks, and metrics to monitor data quality over time Collaborate with data scientists and engineers to refine AI outputs based on quality findings As needed, support taxonomy recognition tasks to ensure our attributes achieve the required quality thresholds Qualifications Experience in data analysis, data quality essential Experience working with AI/ML‑generated data beneficial Strong skills in SQL and data visualization tools (e.g., Power BI, Tableau) Experience with anomaly detection techniques and tools is highly desirable Understanding of AI/ML concepts and how data flows through models Excellent attention to detail, analytical thinking, and communication skills Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee Assistance Program (EAP) 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 NIQ Diversity & Inclusion Page. Job Details Seniority level: Mid‑Senior level Employment type: Full‑time Job function: General Business Industries: Market Research #J-18808-Ljbffr