Senior Analytics Engineer

Thirty Madison is now part ofRemedy! You can read more about the acquisitionhere. We are excited to join forces and continue to revolutionize healthcare accessibility!

About the role

Were hiring a Senior Analytics Engineer within our centralized data team to own a core area of our data such as financial performance operations or growth and retention from raw sources through to the metrics leadership uses to make decisions. Youll build the dbt models and semantic layer behind those metrics. Youll also act as the analytical partner to the teams that rely on them.

This is a high-ownership role on a lean team that moves fast. Requirements often start ambiguous and youll be expected to find the highest-value problems before they reach anyones roadmap.

Our stack: Snowflake dbt Fivetran and Hex

Comp Perks Benefits

• The base pay range for this role is $160000-$180000
• Potential to earn equity
• Robust and affordable Medical Dental and Vision plan options
• Flexible time off policy

**Base pay offered may vary depending on job-related knowledge skills and experience.

What you get to do every day

• Own a functional data area. Be the lead analyst for a domain like finance or growth and retention the first person stakeholders turn to for answers and insight. Youll own its models metrics analysis and roadmap.
• Architect core data models. Design and maintain silver and gold layer models in dbt using Kimball dimensional modeling (facts and dimensions). These power segmentation targeting automation and analytics for your area.
• Define and operationalize metrics. Turn company-wide metrics into governed consistent definitions. Examples include retention funnel conversion LTV/CAC/ROAS and revenue.
• Steward the semantic layer. Treat our BI tooling (Hex) as a product. Own semantic layer health cross-team modeling standards and self-serve data products beyond building dashboards on request.
• Make the numbers trustworthy. Set standards for testing documentation and freshness. Lead root-cause analysis on data discrepancies then fix the underlying architecture so they dont recur.
• Partner with the business. Turn ambiguous questions from Marketing Growth Finance and Product into clear requirements and scalable solutions. Work without dedicated PM support and use data to influence decisions.
• Communicate clearly. Explain technical decisions trade-offs and results to audiences from engineers to senior leadership. Set and manage expectations along the way.
• Improve upstream data. Work with product and engineering on event taxonomy instrumentation quality and consistency across app web and backend.

What you bring to the role

• 5 years in analytics analytics engineering data engineering or a closely related role.
• Deep SQL in a cloud data warehouse ideally Snowflake. You use it to validate data quality investigate anomalies and back your own analysis.
• Production experience with dbt: modeling testing documentation and project structure.
• Strong data modeling skills including Kimball dimensional modeling (star schemas slowly changing dimensions) and layered medallion architectures. You know when to break the rules.
• Business and analytical judgment. You can tell which question matters and how to answer it not just how to model it.
• A track record of leading cross-team data initiatives including gathering requirements yourself from technical and non-technical stakeholders.
• Clear confident communication with senior leadership including pushing back and resetting expectations when needed.
• Comfort with ambiguity and a fast pace. You prioritize well and ship without waiting for perfect specs.
• Hustle and a bias for action. You roll up your sleeves do what the moment needs whether thats a quick ad-hoc pull or a weekend fire drill on a broken pipeline and follow through until its done.

Bonus Points

• Experience supporting Marketing Growth Sales or Product teams such as attribution paid media funnels or retention.
• Experience owning a BI platform or semantic layer (Hex Looker dbt Semantic Layer or similar) as a product.
• Experience building semantic layers and documentation designed for AI and agentic workflows.
• Familiarity with product analytics instrumentation and event tracking.
• Background in consumer health subscription or e-commerce businesses.

U.S. Applicants Only

Dont meet every single requirement Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Remedy we are dedicated to building a diverse inclusive and authentic workplace so if youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions. Contact us at to request accommodation.

*This employer participates in E-Verify and will provide the federal government with your I-9 Form information to confirm that you are authorized to work in the U.S.*

*Please be aware that there are fraudulent entities who are falsely claiming to be or represent Remedy in order to solicit sensitive personal information or payment. Remedy is not in any way associated with these entities or practices. The safety and integrity of those seeking employment with us is of the utmost importance and we actively work with our legal and security teams to prevent future incidents.

Remedy will never ask for sensitive information or payment when engaging with job seekers. The entities use many methods to perpetuate these scams including but not limited to: participating in a text-only interview using Remedys trademarks on their correspondence or providing you with a seemingly legitimate offer letter. If you suspect you are a victim of this scamming we encourage you to cease further contact and report the crime to The Federal Trade Commission.