Data Analysis - SQL + Core Domain Data skills

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