Senior Analytics Engineer

March 7

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Stellar Health

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Stellar Health is a healthcare technology company that focuses on enabling providers and care teams to succeed in value-based care. They partner with payors, health systems, provider networks, and practicing physicians to develop tailored incentive programs that reward the completion of specific value-based care actions. Their platform includes the Stellar Application, a web-based tool that aids in managing patient care through real-time notifications and a checklist of recommended actions. Stellar Health supports providers in transitioning to risk-based contracts by offering technology, business intelligence, analytic insights, and on-the-ground implementation support. They work to improve quality and cost of care metrics and reward practices for value-based activities, ultimately advancing performance in healthcare delivery.

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

📋 Description

• The Enterprise Analytics team is looking for a new member of the team to help build scalable and durable data models with Snowflake and dbt to help power self-service for all teams, primarily focusing on Customer Success and Product. • The successful candidate will help scale Stellar as a whole, work with a modern data technology stack, work with healthcare Big Data, and have the opportunity to advance the quality of healthcare in the United States. • Collaborate with team members across Stellar Health to collect business requirements, define successful analytics outcomes, design data models, implement data models, and automated data refreshes. • Design and deliver new analytics data models and schema with dbt, primarily designed using dimensional modeling. • Define, develop, and enhance the dbt codebase used to bring the Analytics Warehouse to life. • Develop code that establishes the benchmark for best practices in a high-scale data environment, including source code management, unit testing, CI/CD, and peer code reviews. • Work with team members to review and approve code and other software artifacts. • Keep documentation up-to-date in Notion, Docs, and other knowledge bases. • Advocate for Analytics best practices. • Keep the team and others up-to-date on plans and progress with Jira and related status meters.

🎯 Requirements

• Deep Analytics Experience: 8+ years total experience as an Analytics Engineer, Data Engineer, or equivalent. DBT Experience is a must. • Expert level SQL: 6+ years writing SQL with advanced level knowledge, including various join types, CTEs, partitioning, pivoting, and aggregates • Expert Dimensional Modeling: 4+ years experience designing and implementing commercial Analytics Data Models, preferably using Kimball Dimensional Modeling • Expert Data Process Management: 4+ years experience creating automated data processing pipelines using tools like Airflow • Full-stack experience: We are looking for a candidate that has an interest in fully owning data development - from interacting with the Business Partners to articulate needs, to developing some Tableau Dashboards to lay out the output of their work. • Leadership: Clear technical lead, able to communicate clearly and efficiency, with crisp delivery of ideas and concepts • Collaboration: Ability to establish good rapport immediately • Curiosity: Asks excellent questions about the team and Stellar

🏖️ Benefits

• Medical, Dental and Vision Benefits • Unlimited PTO • Universal Paid Family Leave • Company sponsored One Medical memberships and Citibike memberships • Medical Travel Benefits • A monthly wellness stipend that gives employees the freedom to choose where they spend their cash, whether it be on wellness, pet care, childcare, WFH items, or charitable donations • Stock Options & a 401k matching program • Career development opportunities like Manager Training, coaching, and an internal mobility program • A broad calendar of company sponsored social events that for our in-office and remote employees