Data Analysis - SQL + Core Domain Data skills - Associate 2

PwC; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

PwC in Hyderabad is seeking a data analytics professional to analyze client data with SQL and statistics, translating raw data into actionable insights for decision making. You will build data models and pipelines, apply machine learning, and develop clear visualizations for technical and nontechnical audiences.

Collaborate with team members, gather requirements, and adapt analyses as project scope evolves; leverage AI tools and programming languages to improve data science workflows while

Qualifications

• Experience with SQL for data extraction, cleaning, and validation.
• Strong ability to analyze data patterns to support client delivery.
• Familiarity with data pipelines, modeling, and quality checks.

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

Skills

SQL

Statistical analysis

Data visualization

Machine learning

Data modeling

Data pipelines

AI tools

Education

Artificial Intelligence and Robotics

Business Analytics

Computer Science/Engineering

Job description

Role & 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

What Sets You Apart

• 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
• 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