Associate 2

About the Role

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 Analysis - SQL + Core Domain Data skills - Associate 2 you will support data science work that turns raw information into clear insights, using SQL and core domain data skills to help solve business questions and inform decisions. As an Associate you will take ownership for your development, adapt to varied client and team needs, and contribute through research, analysis, and clear communication while building commercial awareness within our Data, Analytics & AI practice. In this role at PwC, you will work on exploratory and descriptive analysis, apply statistical techniques, create data visualizations, and support quality work that helps teams move from data to action.

Key Responsibilities

• Analyzing client data using SQL and statistical methods to identify patterns, trends, and anomalies
• Supporting exploratory and descriptive analysis to translate raw data into actionable insights for decision making
• Building and refining data models, data pipelines, and data quality checks to support analytics workstreams
• Applying machine learning and predictive modeling techniques to help solve business problems
• Developing visualizations and summary outputs that communicate findings clearly to technical and nontechnical audiences
• Collaborating with team members to gather requirements, interpret results, and adapt analysis as scope changes
• Using AI tools, digital tooling, and programming languages to improve data science workflows and troubleshooting
• Validating analysis outputs against source data and technical standards while learning from feedback and project experience

Requirements & Tech Stack

• Applying SQL for data extraction, cleaning, and validation tasks
• Analyzing data patterns to support client delivery and issue resolution
• Building familiarity with data pipelines, modeling, and quality checks
• Demonstrating curiosity while learning technical standards and commercial context
• Communicating findings clearly and adapting to varied team needs

Qualifications

• At least a Bachelor's degree
• Oral and written proficiency in English required
• Preference for at least one of the following fields of study: Artificial Intelligence and Robotics, Business Analytics, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Engineering, Information Technology, Machine Learning, Management Information Systems, Mathematics, Statistics, Systems Engineering