Senior Analytics Engineer (Data Platform & AI Enablement)

Role Overview

The Senior Analytics Engineer owns the layer between curated enterprise data and business consumption, working primarily in Databricks, Unity Catalog, and Power BI. This role designs and maintains certified data products, semantic models, standardized metrics, and quality controls used by analysts, self-service users, dashboards, and AI agents.

What You Will Do

Build and maintain certified facts, conformed dimensions, curated views, and Gold-layer data products. Own Power BI semantic models, shared measures, hierarchies, relationships, security, and performance. Translate agreed business rules and KPI definitions into transparent, testable, version-controlled logic.

Why It Might Be a Fit

Creates a common, governed foundation for reporting, analysis, self-service, and AI. Moves repeat logic out of individual reports and into reusable certified assets. Reduces conflicting metrics, duplicate datasets, and analyst preparation effort.

Requirements

• Bachelor’s degree in a quantitative or technology field, or equivalent practical experience
• 5+ years in analytics engineering, data engineering, BI engineering, or data platform roles, including experience with curated analytics layers or semantic models
• Advanced SQL and strong dimensional modeling skills, including fact grain, conformed dimensions, and star schemas
• Production experience with a cloud Lakehouse or warehouse; Databricks and Delta Lake strongly preferred
• Power BI semantic modeling experience, including DAX, relationships, security, and optimization
• Experience with data governance, metadata, lineage, quality controls, Git, code review, and deployment discipline

Benefits

• Comprehensive benefit plans
• Retirement, savings, tuition reimbursement, and employee incentive programs
• Resources for mental, physical, and financial wellbeing
• LinkedIn Learning access
• Internal opportunities to work on projects cross-company
• Four employee-led and self-directed Business Resource Groups
• Paid volunteer day annually
• Employees share their time, skills and talent with charities and nonprofit organizations across the U.S. and around the globe