Nishothsarga Amudala

• Currently a full time senior data analyser for big pharmaceutical companies Abbvie , Lilly, Merck and Bausch health
• Handling BAU Monthly/Weekly for multiple clients and perform quality overlap and trend checks on data in different product markets for each client.

• Performed data analysis on sales by creating and importing data to Excel, SQL queries and power bi to visualize data in a better way on monthly basis.
• Finding sales data quality errors and followed up with technical team and developers to correct the errors before sending to client.

•Assists team members to build, establish and maintain effective support to client needs as their day-to-day requests on the different technology suite of applications and tools which include highlights dashboards , bi tools and flat files.
Ensures, thorough review and verification, that the product deliverable meets the customer specifications including timeliness and quality.
• Maintains effective internal communications with commercial, technology service delivery, developers and project manager to keep all apprised on activities with the client.
• provided expertise and system support in producing custom client deliverable.
• Ensures and perform a high level of quality through quality assurance checks on a range of custom client deliveries including dashboards.
• Highlighted data and /or functionality issues
•Performed preliminary root cause analysis and initiates issue investigation process when required.
• solved complex problems using analysis and troubleshooting skills to determine root cause.
• prepared documentation and provides training to the offshore team. on highlight dashboards, cube and quick sense applications
• worked closely with offshore team to ensure that delivery commitments are met. And that appropriate quality issues are identified through predetermined quality assurance checks.

• Provided technical support for datasets including LPIN, Early Insights (EI), LRx, GPM, and Xponent.
• Addressed production issues promptly and efficiently.
• Implemented corrective measures for data-related problems in production.
• Specialized in optimizing application functionalities.
• Updating the ticketing tool with all relevant information
• Enhanced team knowledge base.
• Followed up consistently with users to ensure timely resolution of incidents.
• Collaborated effectively within group-level tasks.