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

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