Senior Analytics Engineer

Vida Health

2d • $115,000 - $130,000 • Remote

About The Position

Vida Health is seeking a Senior Analytics Engineer to serve as a high-impact, full-stack data partner. Positioned at the intersection of analytics engineering and data analysis, this role requires a practitioner who moves fluidly between technical development and strategic business partnership. You will own the entire lifecycle of data delivery- architecting pipelines from raw sources through dbt models and semantic layers into final Looker dashboards. You will embed directly with stakeholders to scope complex business questions, execute rigorous analyses, and independently translate ambiguous requirements into clear, decision-ready answers.

Requirements

• Bachelor’s degree at a minimum.
• 5-7 years of senior-level experience spanning both analytics engineering and data analysis. You are a true full-stack data practitioner capable of independently executing projects end-to-end without hand-offs.
• Advanced SQL proficiency alongside production-level dbt experience, with specific expertise configuring metric and semantic layers.
• Comfortable navigating, testing, and contributing to non-trivial codebases utilizing dbt macros, exposures, and lineage.
• Version control and CI workflows experience within modern cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Fluent in LookML with a proven ability to author and refactor models, structure intuitive explores for self-service, and seamlessly bridge the gap between dbt models and downstream business users.
• Exceptional communication skills with a track record of managing stakeholders directly, scoping ambiguous requirements, and delivering high-impact solutions independently.

Nice To Haves

• Proven track record of driving initiatives within the digital health and healthtech sectors.
• Understanding of claims, clinical, and patient engagement data ecosystems, with a strict adherence to HIPAA guidelines and PHI data governance.
• Experienced in launching data-driven experiments, building patient cohort analyses, and measuring outcomes to prove program efficacy.

Responsibilities

• Architect and maintain analytics-ready datasets, LookML explores, and high-impact dashboards.
• Confidently navigate dbt to trace lineage and debug models.
• Make modeling decisions (grain, incremental strategies, data contracts) that bring order and stability to messy raw data sources.
• Partner directly with Member Engagement teams to turn strategic questions into rigorous analyses.
• Collaborate strategically with the core data engineering team to understand, shape, and optimize foundational data models.
• Think critically about data limitations, challenge baseline assumptions, and articulate insights alongside their necessary caveats to both technical and non-technical audiences.
• Other duties as assigned.

Benefits

• Vida is proud to be an Equal Employment Opportunity and Affirmative Action employer.
• Diversity is more than a commitment at Vida—it is the foundation of what we do.
• All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, gender, gender identity or expression, sexual orientation, marital status, national origin, genetics, disability, age, or Veteran status.
• We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
• We seek to recruit, develop and retain the most talented people from a diverse candidate pool.
• We don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our platform and those we serve.
• Vida is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
• Applicants must be authorized to work in the U.S. as Vida is unable to sponsor work visas for any position.
• All Vida Employees must reside in/be able to work from the U.S.- international work is prohibited.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior