PwC – Data Analyst Associate

Job Description

Required Knowledge/Skills (BQ):

• Strong experience writing advanced SQL queries including joins, subqueries, window functions,
aggregations, and query optimization.
• Experience working with SQL Server or other relational database systems.
• Ability to build and maintain database objects such as tables, views, indexes, and stored procedures.
• Experience extracting and transforming large datasets using SQL-based data processing techniques.
• Strong experience developing operational reports and dashboards using Power BI or Tableau.
• Advanced knowledge of Microsoft Excel, including pivot tables, advanced formulas, and data analysis
techniques.
• Experience performing data validation, reconciliation, and troubleshooting data discrepancies.
• Ability to analyze large datasets and identify trends, patterns, and operational insights.
• Strong understanding of data modeling concepts and analytics dataset design.
• Strong analytical thinking and problem-solving skills.
Preferred Knowledge/Skills *:
• Experience building or supporting ETL / ELT pipelines.
• Exposure to data integration tools such as Alteryx, Informatica, or similar ETL platforms.
• Exposure to AWS services related to analytics, data storage, or data processing.
• Experience with Microsoft Power Platform (PowerApps, Power Automate) for workflow automation.
• Familiarity with Python or similar scripting languages for data processing or automation.
• Experience working with healthcare datasets or Revenue Cycle Management (RCM) environments.

QUALIFICATIONS: Education / Experience:

• BE/BTECH, ME/MTECH, MBA, BCA/MCA, or a related field, or an equivalent amount of relevant professional experience.
• 2- 4 years of experience in data analytics, data engineering, or reporting roles.
• Hands-on experience working with SQL databases and analytics tools such as Power BI or Tableau.
• Experience building dashboards, analytics datasets, and operational reports.
• Exposure to ETL pipelines or data transformation workflows.
• Experience working with large operational datasets.
• Experience working in healthcare, insurance, or regulated industries is preferred.
Additional Information:
• Shift timings: Flexible to work in night shifts (US Time zone)
• Experience Level: 2 – 4 years
• Mode of working: Work from office
• Line of Service: Advisory
• Designation: Associate

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