Senior Analyst, Analytics — Enterprise Reporting

United States·AustinFull-Timesenior

OtherEnterprise

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OtherEnterprise

Everlywell is a digital health company pioneering the next generation of biomarker intelligence—combining AI-powered technology with human insight to deliver personalized, actionable health answers. We transform complex biomarker data into life-changing insights—seamlessly integrating advanced diagnostics, virtual care, and patient engagement to reshape how and where health happens.

Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2025, an estimated 1 in 94 U.S. adults received an Everlywell test, solidifying our spot as the #1 at-home testing company in the country. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized.

Over the past decade, Everlywell has delivered close to 1 billion personalized health insights, transforming care for 60 million people and powering hundreds of enterprise partners. In 2024 alone, an estimated 1 in 86 U.S. households received an Everlywell test, solidifying our spot as the #1 at-home testing brand in the country. And we’re just getting started. Fueled by AI and built for scale, we’re breaking down barriers, closing care gaps, and unlocking a more connected healthcare experience that is smarter, faster, and more personalized.

Own enterprise reporting end-to-end: define requirements, model the data, build the dashboards, and maintain them over time

Build and maintain dbt models that create a reliable, well-documented semantic layer for reporting across the business

Develop and maintain dashboards and self-serve reporting tools (Omni/Looker/Tableau) that reduce ad hoc requests and let stakeholders answer their own questions

Partner with Data Engineering on data pipeline and warehouse structure to ensure reporting is built on trustworthy, scalable foundations — not workarounds

Establish and enforce definitions, metrics, and reporting standards so numbers are consistent across teams and dashboards

Audit and rationalize existing reports and dashboards to reduce redundancy and reporting drift

Partner with cross-functional stakeholders (Product, Marketing, Ops, Finance) to understand reporting needs and translate them into scalable data models

Troubleshoot data quality and discrepancy issues, tracing them back to source and fixing at the model level

Document data models, metric definitions, and reporting logic so institutional knowledge doesn't live in one person's head

Own a high-visibility function that shapes how the entire company sees and understands its own data

Direct partnership with the Head of Analytics and exposure to cross-functional leadership

Growth opportunities within a mission-driven organization investing in scalable, self-serve data infrastructure

4 to 6 years of experience in analytics, business intelligence, or data analytics roles

Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, or related) or equivalent experience

Strong SQL skills; comfortable writing and optimizing complex queries against large datasets

Hands-on experience with DBT for data modeling and transformation (required)

Proficiency with a BI tool such as Omni, Looker, or Tableau — including building, maintaining, and scaling dashboards for a broad user base

Demonstrated ability to build self-serve reporting systems, not just deliver one-off analyses

Strong data modeling instincts — able to design schemas and metrics layers that hold up as the business scales

Excellent communication skills; able to work directly with business stakeholders to translate ambiguous needs into clear data solutions

Detail-oriented, with a track record of owning data quality and consistency across reporting

Experience with a modern data warehouse ((Snowflake, BigQuery, Databricks)

Familiarity with Python for data validation, automation, or pipeline work

Prior experience in healthcare, DTC, or a high-growth startup environment

Security Notice: Everlywell never requests fees, payment, or banking information at any stage of the recruitment process. Official communications and interview invitations will only come from verified email addresses ending in @everlywell.com or @everlyhealth.com. To ensure your application is secure, always apply directly through our official careers page at https://www.everlywell.com/careers/.