Analytics Engineer

Verse Medical seeks an Analytics Engineer to bridge data engineering and analytics, building scalable analytic layers that support operations, product, revenue cycle, and go-to-market initiatives. The role ensures data is reliable, accessible, and actionable across the organization, and leads the evolution of production data products.

Responsibilities

• Create clean, scalable data models that underpin business operations, executive reporting, and advanced analytics.
• Collaborate with functional stakeholders to translate business challenges into robust, scalable data solutions.
• Establish a semantic layer, define documentation standards, and implement data freshness SLAs.
• Maintain data accuracy, quality, and governance through observability, governance practices, and monitoring.
• Enhance data architecture and storage to boost performance, reduce costs, and optimize both batch and real-time workflows.
• Contribute to PHI-adjacent modeling work with governance-minded data separation practices.
• Own the reliability and evolution of production data products, guiding initiatives from concept through delivery.
• Operate with initiative and autonomy in a fast-paced, mission-driven environment.

Requirements

• Minimum of 4 years of experience in data engineering, analytical engineering, or analytics roles with strong dbt ownership.
• Deep dbt proficiency, including ownership of project structure, source definitions, test coverage, documentation, and change management.
• Strong SQL and Python skills, with a track record of building complex, high-performance queries.
• Familiarity with modern data stack tools including cloud data warehouses (Snowflake preferred) and BI tools (Metabase, Tableau, Looker, or similar).
• Proven ability to design, build, and scale end-to-end data infrastructure, including pipelines, schemas, dimensional models, analytics layers, and ML-ready datasets.
• Solid understanding of data modeling, governance, privacy, and observability best practices.
• Excellent problem solving, communication, and analytical skills with the ability to translate technical concepts for non-technical audiences.
• Preferred: Experience leading full-stack data architecture and making strategic data platform decisions.
• Preferred: Experience with data platform and business intelligence migrations.
• Preferred: Familiarity with healthcare or other regulated data, including HIPAA compliance.

Technologies

• dbt
• SQL
• Python
• Snowflake
• Metabase
• Tableau
• Looker

Benefits

• Competitive compensation.
• Opportunities for rapid career advancement in a growing company.
• 100% premium coverage for health insurance.
• 401(k) retirement plan with no employer matching at this time.