Sushil Sharma

About Sushil Sharma

Data Analyst with hands-on experience in healthcare insurance analytics at Ernst & Young (EY), working with large-scale, high-volume datasets (45K+ daily records). I specialize in SQL performance optimization, ETL processes, data transformation, and reconciliation to ensure accuracy, integrity, and reliable reporting in enterprise environments. In my current role, I focus on improving database performance, optimizing complex queries, and building structured reporting workflows that support audit and business decision-making. I have reduced query execution time significantly through performance tuning and developed KPI dashboards in Power BI and Tableau to help stakeholders monitor trends and identify anomalies efficiently. My work involves: • SQL optimization and database performance improvement • ETL development and data transformation • Data validation, reconciliation, and quality checks • Root cause analysis of reporting discrepancies • KPI monitoring and stakeholder reporting Beyond enterprise projects, I actively work on analytical projects using Python, SQL, and Power BI to strengthen my understanding of business analytics and data-driven problem-solving. I am passionate about turning raw data into meaningful insights that improve decision-making, operational efficiency, and reporting clarity. Currently open to opportunities in Data Analytics, Business Analytics, and Healthcare/FinTech analytics roles.

Experience

1. Data Analyst

   EY

   Apr 2025 — Present · Jaipur, IN

   Working in healthcare insurance analytics, handling high-volume claims datasets (45K+ records daily) to ensure reporting accuracy, data integrity, and performance optimization within enterprise systems.Key Contributions:Optimized complex SQL queries as part of performance optimization initiatives, reducing execution time from 10 minutes to 3 minutes and improving reporting efficiency.Designed and maintained stored procedures, views, and triggers to support structured healthcare claims reporting workflows.Built and managed ETL processes involving data extraction, transformation, and loading to ensure timely and accurate availability of claims data.Performed data transformation, validation, and reconciliation to maintain consistency across interconnected database systems.Implemented data quality checks and conducted root cause analysis to identify and resolve discrepancies in reporting outputs.Developed interactive KPI dashboards in Power BI and Tableau for auditors and business stakeholders to monitor utilization trends and detect anomalies.Collaborated with cross-functional stakeholders to translate business requirements into actionable data insights and reporting solutions.

Education

• Vidya Mandir

  High School Diploma

• ABES Engineering College

  Master of Computer Applications - MCA, Computer and Information Sciences and Support Services

• CCS (Chaudhary Charan Singh)University

  Bachelor's degree, Computer Programming, Specific Applications