remote
Product Success Analyst - NielsenIQ
Software Engineer
Product Success Analyst ensuring data integrity and quality for market measurement products, detecting anomalies, implementing corrective actions, and collaborating across teams to resolve data issues using SQL, Python, and data modeling techniques.
About the role
Key Responsibilities
- Monitor and maintain data quality across product lines, identifying and resolving anomalies in datasets and modeling processes.
- Collaborate with cross‑functional teams to investigate data issues, develop root‑cause analyses, and implement corrective measures.
- Document data quality standards, procedures, and best practices to support consistent delivery timelines.
- Analyze product performance metrics, generate insights, and present findings to stakeholders.
- Support data governance initiatives, ensuring compliance with internal and external data regulations.
Requirements
- Proven experience in data analysis, with strong SQL skills for data extraction and manipulation.
- Hands‑on experience with Python (pandas, NumPy) for data cleaning and modeling.
- Solid understanding of data quality concepts, data governance, and data lifecycle management.
- Excellent communication skills and ability to work collaboratively across teams.
- Detail‑oriented mindset with a passion for data excellence and continuous improvement.
Skills
data analysissqlpython