Purnima B

Early-career Analyst with 2 year of experience at NielsenIQ supporting data validation, dashboarding, and consumer insights for international retail markets. Strong foundation in Economics and data-driven problem-solving, with hands-on experience in Excel, Tableau, and SQL-ready analytics. Proven ability to deliver accurate, client-ready insights, conduct root cause analysis, and collaborate across teams to drive business decisions.

Data Operations Analyst at NielsenIQ (NIQ) (2023-12 – Present)

• Analyzed, validated, and maintained large-scale retail and consumer datasets across Eastern Europe, with a focus on Tech and durable categories including small and major domestic products, ensuring high data accuracy through outlier detection and root cause analysis (RCA).
• Managed product databases by assigning and standardizing unique product identifiers, reducing classification and translation-related errors.
• Developed client-ready dashboards and analytical reports using Excel and PowerPoint, delivering market trends, KPI tracking, and performance insights to support brand growth strategies.
• Conducted market overviews and trend analyses to identify consumption patterns, category performance, and growth opportunities across different product categories. Conducted comprehensive quality checks on market data to ensure accuracy and identify discrepancies.
• Contributed to productivity and quality improvement initiatives by optimizing dashboard performance and minimizing recurring data errors. Leveraged JIRA for efficient issue tracking, management, and reporting.
• Collaborated with cross-functional teams through platform training programs, enhancing team flexibility and operational efficiency.

B.A. (Hons.) in Economics – Deshbandhu College, University of Delhi