Analytics Engineer I, Commercialization

Role Overview

The Analytics Engineer I will help build and support the analytics layer on Databricks, developing well-modeled datasets, metrics, and semantic assets for analysts and business users to consume. This role operates as part of a deployed engineering team, working alongside a Commercial business domain to keep the analytics layer aligned with that domain’s needs.

What You Will Do

Design, build, and support analytics-ready data products, curated datasets, and reusable transformation assets within a modern lakehouse environment. Translate business and analytics requirements into clear data specifications, dimensional models, metrics definitions, and dataset readiness criteria.

Why It Might Be a Fit

The successful candidate will have strong proficiency in SQL for analytics transformations, data modeling, validation, and performance tuning, and experience developing analytics-ready datasets using dimensional modeling concepts. They will also have experience with data quality practices, governance and secure data handling practices, and familiarity with Databricks notebooks, jobs/workflows, and Delta Lake concepts.

Requirements

• Strong proficiency in SQL for analytics transformations, data modeling, validation, and performance tuning
• Experience developing analytics-ready datasets using dimensional modeling concepts
• Experience with data quality practices, governance and secure data handling practices
• Familiarity with Databricks notebooks, jobs/workflows, and Delta Lake concepts

Benefits

• Comprehensive benefits
• Flexible work environment
• Opportunities for growth
• Supportive environment that values inclusion, wellbeing, flexibility