Product Analyst

📋 Description

• Evaluate the relative and overall quality of our data sources including data produced by AI models
• Define and implement metrics that provide actionable insights to both improve data reliability and
• Provide consistent reporting on data source quality – using dashboards and reports to communicate
• Identify anomalies, patterns, and potential risks in these data sources, with a key focus on
• Design and implement methods to detect outliers, inconsistencies, and unexpected trends in data
• Investigate root causes of anomalies and collaborate with technical teams and key stakeholders to

🎯 Requirements

• 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)