Data Analyst – Analytics Engineering & AI

Transform business questions into trusted datasets, analytical models, and actionable insights through data analysis and dashboard/report development.

Write and maintain SQL queries and data transformations to create and support reusable analytical datasets and semantic analytics layers.

Support AI-ready analytics foundation development by organizing business metrics, metadata, and validating AI-generated analytics outputs for accuracy and consistency.

Bachelor's degree in a quantitative discipline (Computer Science, Data Science, Engineering, Business Analytics, Statistics, Mathematics, Economics).

2–5 years of experience in data analytics, business intelligence, analytics engineering, data engineering, or related field.

Strong SQL skills including joins, aggregations, subqueries, common table expressions, window functions, and analytical querying.

Working knowledge of Python or a similar analytical programming language for data manipulation, automation, analysis, or validation.

Experienced operating between business stakeholders, senior analysts, and technical teams to translate complex business needs into analytical solutions.

Comfortable managing and improving semantic layers, metadata, and metric definitions to enable consistent analytics and AI applications.

Interested in developing skills in analytics engineering, semantic modeling, and AI-enabled analytics within enterprise cloud data environments.