Senior Analytics Engineer
Builds and maintains scalable data models and pipelines using Snowflake, dbt, and Databricks to support analytics for patient intake funnel. Leads BI solutions, self-service tools, and best practices with 5+ years experience, advanced SQL, and cross-functional collaboration.
About the job
Responsibilities
- Build and maintain clean, scalable data models and pipelines to support analytics and reporting using tools like Snowflake, dbt, and Databricks
- Collaborate closely with stakeholders to understand business goals and translate them into data requirements and insightful data products
- Develop and maintain user-friendly BI solutions to enable the monitoring and performance of key metrics
- Build data models that match our robust data governance, data quality, and documentation
- Lead the development of self-service analytics tools and data products that empower team members to independently explore data
- Drive the implementation of best practices in data modeling, performance optimization, and reporting workflows
Qualifications
- 5+ years of experience in Business Intelligence, Data Analytics, or a related role
- Advanced SQL skills and a strong understanding of data modeling concepts
- Experience with modern data stack tools including Snowflake, dbt, and Databricks
- Proficiency in at least one BI tool such as Omni, Tableau, or Looker
- Strong understanding of data visualization principles and dashboard design
- Basic experience or exposure to A/B testing and experimental analysis
- Experience working cross-functionally with non-technical stakeholders
- Excellent communication skills and the ability to present insights clearly to all levels of the organization
Skills
SQL, Snowflake, dbt, Databricks, Looker, Tableau, Omni, Data Modeling, Data Pipelines, Data Visualization, A/B Testing
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