Pay
In line with similar jobs
$160K–$180K against $122K–$190K, the middle half of what similar US postings state.
From 321 postings in the last year. Stated ranges, not salaries paid.
Senior Analytics Engineer
- Pay
$160,000–180,000/year · BaseAnnual period assumed — pay source
Comp | Perks | Benefits The base pay range for this role is $160,000-$180,000 Potential to earn equity
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe'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.
This is a high-ownership role on a lean team that moves fast.
You'll build the dbt models and semantic layer behind those metrics.
Own a functional data area.
You'll own its models, metrics, analysis and roadmap.
From the employer’s posting
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.
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.
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.
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 202612 days ago
- Recorded sightings
- 16
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 12
Similar jobs usually come down between day 6 and day 47.
From 1,409 similar postings that came down. Coming down is not always a hire.
Remedy is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- dbt
- Fivetran
- Snowflake
Where the posting names them
- 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.
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.
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: Snowflake, dbt, Fivetran and Hex Comp | Perks | Benefits
- 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.
- 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.
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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: Snowflake, dbt, Fivetran and Hex
Comp | Perks | Benefits
- 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 recruiting@thirtymadison.com 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 Remedy's 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.
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- Pay
Comp | Perks | Benefits The base pay range for this role is $160,000-$180,000 Potential to earn equity
- Location & working pattern
Summit, NJ
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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 recruiting@thirtymadison.com 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.