Senior Analytics Engineer

Remedy; Summit (NJ); On-site; USD 160,000 - 180,000; Full time

Benefits offered by this job

Equity

Medical, Dental & Vision

Flexible time off

Job summary

Remedy, formerly Thirty Madison, is seeking a Senior Analytics Engineer to own a core data area from raw sources to leadership metrics. You will build dbt models and the semantic layer, and serve as the analytical partner to teams across Marketing, Growth, Finance and Product.

This high-ownership role sits on a lean data team that moves fast. You will navigate ambiguity, set standards, and translate business questions into scalable data products and trusted insights.

Qualifications

• 5+ years in analytics, analytics engineering, data engineering or a closely related role.
• Deep SQL in a cloud data warehouse, ideally Snowflake.
• Production experience with dbt: modeling, testing, documentation and project structure.
• Strong data modeling skills, including Kimball dimensional modeling and layered medallion architectures.
• Business and analytical judgment; know which question matters.
• Track record leading cross-team data initiatives; able to gather requirements from technical and non-technical stakeholders.
• Clear, confident communication with senior leadership; push back when needed.
• Comfort with ambiguity and fast pace; bias for action and ownership.

Responsibilities

• Own a functional data area as the lead analyst for finance, growth or retention, owning its models, metrics, analysis and roadmap.
• Architect core data models using Kimball dimensional modeling and dbt to power segmentation and analytics.
• Define and operationalize metrics with governance; examples include retention, funnel, LTV/CAC/ROAS and revenue.
• Steward the semantic layer as a product; ensure health and cross-team standards.
• Ensure data trustworthiness through testing, documentation and freshness; fix root causes of data issues.
• Partner with Marketing, Growth, Finance and Product to translate ambiguous questions into scalable solutions.
• Communicate technical decisions and trade-offs clearly to engineers and senior leadership.
• Improve upstream data via collaboration with product and engineering on event taxonomy and instrumentation.

Skills

Deep SQL (Snowflake)

dbt modelling/testing

Kimball dimensional modeling

Data modeling

Stakeholder communication

Cross-team collaboration

Adaptability / ambiguity

Bias for action

Tools

dbt

Hex

Looker

dbt Semantic Layer

Snowflake

Job description

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

About the role

We're 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. You'll build the dbt models and semantic layer behind those metrics. You'll 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 you'll be expected to find the highest-value problems before they reach anyone's roadmap.

Our stack:

• The base pay range for this role is $160,000-$180,000
• 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. You'll 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 don't 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 that's a quick ad-hoc pull or a weekend fire drill on a broken pipeline, and follow through until it's 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

Don’t 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 you’re excited about this role but your past experience doesn’t 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 [e-mail] 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.*

We respect employee rights to engage in close relationships, familial or otherwise, during non-working hours away from the Company's premises. In accordance with our company policy, we want to ensure those relationships between employees create a productive and collaborative environment for all. Do you have any notable relationships with a current employee that Remedy/KMG should be aware of (romantic, familial, roommate arrangements, or other significant personal ties outside of work)? If yes, please include the employee name and your relationship.