BI (Analytics) Engineer

• Our client is a fast-growing healthcare insurance startup.
• Look past the healthcare label and you’ll find a data company at its core.
• The data team is lean and high-impact: three people supporting 70+ engineers.
• You’ll own data modeling and pipelines, building the foundational data layer that powers customer-facing reporting today and ML/AI products tomorrow.
• This is a hands-on role.
• You’ll take messy, complex data models and turn them into something reliable and scalable, working closely with product, operations, and engineering.
• If you thrive in ambiguity, work at startup pace, and can point to measurable impact, you’ll fit right in.
• Applicants must be authorized to work in the United States on a full-time basis without the need for current or future visa sponsorship, * Own and mature the data modeling practice, building the critical models and pipelines behind customer-facing reporting and analytics
• Scale and clean up existing data infrastructure to support larger, more complex enterprise customer integrations
• Partner with product management and operations to understand data needs and deliver accurate, trusted outputs
• Work directly with engineers to understand complex production data, and keep Metabase dashboards accurate and available
• Client the groundwork for future ML and AI products by improving data quality, governance, and pipeline reliability

• Experience building data models and pipelines at a VC-backed startup or a big tech company founded after 2005 (think Uber, Lyft, Stripe, or Datadog; FAANG doesn’t count)
• Advanced SQL in complex production data environments
• Willingness to work in-office 4 days/week in Denver, SF, or NYC
• 3-7 years of experience in analytics or data science at a high-growth company
• Bachelor’s degree in CS, Math, Engineering, or a hard science
• Hands-on experience with a major data warehouse (Snowflake, BigQuery, or Redshift)
• Ability to clearly articulate your business impact with quantified outcomes

Preferred Qualifications:

• Experience partnering with product and operations teams on data needs
• Experience in a highly regulated industry (fintech, shipping/logistics, insurance) working with large, complex data sets
• Hands-on dbt experience for production data modeling
• Familiarity with GCP/BigQuery, Python, or Terraform

Salary: $135000.00-$180000.00/Year