Saayi Nishaanth

NIELSENIQ
Data Processing Specialist | Dec 2024 – Present

• Extracted, transformed, and analysed large datasets using SQL and Python to address business requirements and client queries, enhancing operational analysis.

• Develop Python automation scripts and tools for data extraction, data cleaning, KPI tracking, and report generation, reducing manual effort and improving processing efficiency.

• Managed data processing, validation, and reporting across Pacific markets, achieving high data accuracy and ensuring reliable client deliverables.

• Perform data validation using in-house systems to identify data quality issues and ensure accuracy across client deliverables, contributing to 100% on-time delivery and zero quality escapes at an individual level.

• Build Power BI dashboards and reporting solutions to provide operational insights, monitor data quality, and improve process visibility.

• Collaborate with Data Science and cross-functional teams to investigate client queries, perform root cause analysis, and implement process improvements.

• Handled client requests for data extraction, validation, and analysis using SQL, Python, and Excel, resolving data-related queries within established service levels.

• Conduct analysis on extracted datasets to identify trends, data issues, and actionable insights for business and client requirements.

• Configure market environments to simulate real-world scenarios for analytical and operational requirements.

• Manage multiple concurrent projects while consistently delivering weekly and monthly reports within established timelines.

•Automated 3 recurring reports/workflows using Python, reducing manual processing time by 30% and improving reporting efficiency.

• Cleaned, transformed, and analysed data using SQL and Excel to ensure data integrity.
• Developed and maintained Power BI reports and dashboards to enhance business reporting.
• Assisted with data validation and technical troubleshooting to support stakeholder needs.