Associate 2

About the Role

Join our Acceleration Center India and support data science work that turns raw information into clear insights. You will use 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, 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

• SQL
• Core domain data skills
• AI tools
• Digital tooling
• Programming languages

Qualifications

• At least a Bachelor's degree
• At least 2 years of experience
• Oral and written proficiency in English required

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