Get flexible, affordable health insurance with Sidecar Health. Choose your provider, see costs upfront, and save on care with our innovative approach. Backed by Menlo.
About the role
Sidecar Health’s Business Analytics team is looking for a Staff Data Analytics Engineer to build the data foundation our product teams rely on. You’ll embed with Product and own the path from raw data to a metric people trust: designing data models, building pipelines when needed, defining the metrics that show whether product work is succeeding, and closing gaps in the data we collect. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 6+ years of experience in analytics or data engineering (or a closely related role), building and maintaining data models and pipelines
- Bachelor’s Degree in Computer Science, Mathematics, Statistics, Economics, a related technical field, or equivalent professional experience
- Strong SQL and dbt skills, including incremental models and testing
- Hands-on Snowflake experience, including semantic modeling
- Commitment to data quality, with experience building tests and monitoring that catch issues before stakeholders do
- Experience working with product teams, ideally technical ones, to define metrics and scope ambiguous problems
More about this role
Sidecar Health is redefining health insurance. Our mission is to make excellent healthcare affordable and accessible for everyone. We know that to accomplish this lofty mission, we need driven people who will make things happen.
The passionate people who make up Sidecar Health’s team come from all over, with backgrounds as tech leaders, policy makers, healthcare professionals, and beyond. And they all have one thing in common—the desire to fix a broken system and make it more personalized, affordable, and transparent.
If you want to use your talents to transform healthcare in the United States, come join us!
Sidecar Health’s Business Analytics team is looking for a Staff Data Analytics Engineer to build the data foundation our product teams rely on. You’ll embed with Product and own the path from raw data to a metric people trust: designing data models, building pipelines when needed, defining the metrics that show whether product work is succeeding, and closing gaps in the data we collect. You’ll work in a Snowflake-first stack and use AI tools like Claude and Snowflake Cortex to move faster, with the judgment to validate what they produce. Our data environment is complex but...
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