Data Analyst - Associate

Industry/Sector

Specialism

Management Level

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As a Data Analyst - Associate you will analyze client needs, support operational process reviews, and help develop practical solutions that improve productivity, quality, and efficiency within our Operations Consulting practice. As an Associate you will focus on learning and contributing to client engagements, adapting to varied project needs, asking questions, and delivering dependable work that supports your team and helps build your professional brand. In this role at PwC, you will use data to identify patterns, contribute to process improvement efforts, and support the use of technology solutions, automation, and operational excellence methods across client work.

Responsibilities

- Analyzing large healthcare operational datasets to identify trends, performance metrics, and financial insights. Building analytics datasets and data models in Databricks (Delta tables, Silver and Gold layers) using SQL, PySpark, and Python. Extracting and transforming data using SQL on SQL Server and Databricks SQL

- Rebuilding existing SQL-based logic as Databricks datasets and validating results against current outputs. Supporting data pipelines and ETL/ELT processes that feed analytics and reporting, including data on Amazon S3. Developing dashboards and reports using Power BI, Tableau, and Excel

- Automating data and reporting workflows with Databricks jobs, Python, and Power Automate. Ensuring data accuracy through validation, reconciliation, and monitoring across analytics datasets

- Analyzing revenue cycle data to identify trends, variances, and process improvement opportunities

- Supporting client service teams by gathering operational data and preparing clear reporting materials

- Mapping billing, coding, collections, and cash application processes to identify breakdowns and delays

- Tracking key performance metrics for revenue cycle activities and flagging issues that affect productivity

- Assisting in the execution of process improvement initiatives across revenue cycle workflows

- Using automation tools, digital platforms, and data preparation methods to streamline repetitive tasks

- Documenting operational findings and organizing information for client presentations and internal reviews

- Applying technical knowledge of revenue cycle operations to support service delivery and issue resolution

What You Must Have

- Preferred Educational Qualification:BE/BTECH, ME/MTECH, MBA, BCA/MCA

- At least 3 - 5 years of experience

- Oral and written proficiency in English required

- Strong experience in data analytics, data engineering, or reporting roles.

- Hands-on experience with SQL databases and with Databricks (Spark SQL, Delta tables).Databricks Workflows, Unity Catalog, Auto Loader, and Databricks SQL dashboards. Working experience with Python and with AWS data storage such as Amazon S3.

- Preferred- Databricks Certified Data Analyst Associate, Databricks Certified Data Engineer Associate, AWS Certified Cloud Practitioner, Microsoft Power BI Data Analyst certification (PL-300),

What Sets You Apart

- Intellectual curiosity in data analysis and process improvement

- Taking ownership of development and feedback

- Active listening and clear idea expression

- Gathering information from multiple sources and finding patterns

- Adapting to client needs and shifting priorities

- Learning professional standards and business awareness

- Shift timings: Flexible to work in night shifts (US Time zone)

- Strong SQL: joins, subqueries, CTEs, window functions, aggregations, and query optimization, on SQL Server or another relational database. Hands-on Databricks experience: notebooks, Spark SQL, Delta tables, and building datasets in Bronze, Silver, and Gold layers; working knowledge of PySpark.

- The primary purpose of this position is to support healthcare revenue cycle operations through data analytics and reliable analytics datasets. This role focuses on transforming raw operational data into accurate datasets and dashboards that enable data-driven decision-making. The Associate- Data Analyst will build analytics datasets in Databricks, rebuild SQL-based logic as Databricks datasets, support ETL/ELT workflows, validate and reconcile data, and develop dashboards and reports for operational reporting and client deliverables.

Travel Requirements

Job Posting End Date