Product Analyst

About this role

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Skills you'll use

What you'll do

• 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 
• Experience in data analysis, data quality essential

Who can apply

• As needed, support taxonomy recognition tasks to ensure our attributes achieve the required quality thresholds 
• 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
• Flexible working environment

About NielsenIQ

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