Pay
In line with similar jobs
$125K–$135K against $94.7K–$144K, the middle half of what similar US postings state.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Data Mining Senior Analyst
- Pay
$125,000–135,000/yearAnnual period assumed — pay source
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. Pay range: $125,000 - $135,000 Equal Employment Opportunity at Machinify
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingLead pre- and post-pay claim reviews to find inaccurate payments
Analyze provider contracts to confirm payments match negotiated terms
Translate reimbursement scenarios into structured rules for implementation
Analyze claim data to find root causes of overpayments and incorrect denials
Work with engineering and data science teams on analytical and automation frameworks
From the employer’s posting
Lead pre and post-pay claim reviews to identify inaccurate payments
Analyze and interpret provider contracts to ensure payments align with negotiated terms
Translate complex reimbursement and contract scenarios into structured rules and business logic for implementation.
Analyze claim-level data to pinpoint root causes of overpayments or incorrect denials
Collaborate closely with engineering and data science teams to translate business and reimbursement logic into analytical and automation frameworks.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in healthcare data mining or claims editing on the provider, payer, or vendor side.
- Deep understanding of provider contracts, including rate structures, carve-outs, and reimbursement methodologies.
- Strong knowledge of claims processing, coding, billing, and payment logic across CMS and commercial payers.
- Proven ability to identify improper payment patterns, root causes, and opportunities for correction.
Preferred experience
- Prior experience in cross-functional R&D or innovation teams focused on healthcare payment integrity.
Qualification wording
5+ years of experience in healthcare data mining or claims editing on the provider, payer, or vendor side.
Deep understanding of provider contracts, including rate structures, carve-outs, and reimbursement methodologies.
Strong knowledge of claims processing, coding, billing, and payment logic across CMS and commercial payers.
Proven ability to identify improper payment patterns, root causes, and opportunities for correction.
Prior experience in cross-functional R&D or innovation teams focused on healthcare payment integrity.
Benefits in the posting
Full benefits wording- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Additional health and wellness benefits and perks
- Equal Employment Opportunity at Machinify
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 20, 202615 days ago
- Recorded sightings
- 17
- 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 15
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
Machinify is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See 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
Where the posting names them
- Coding certification (e.g., CPC, CCS, or equivalent). - Working proficiency in SQL for data exploration and validation. - Prior experience in cross-functional R&D or innovation teams focused on healthcare payment integrity.
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 Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Job description
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
Machinify is seeking a Senior Analyst to lead the development and refinement of new reimbursement and payment integrity concepts. This is a hands-on healthcare domain role, not a technical or engineering position. The ideal candidate understands reimbursement logic, payment policies, and provider contracts in depth — and can translate that expertise into clear, structured concepts that inform analytics and automation efforts.
You will be focused on discovering where and why payment errors occur, designing methods to detect and prevent them, and partnering with technical teams to operationalize your findings. This role is ideal for someone who loves digging into claims data, identifying systemic payment issues, and shaping how technology solutions capture real-world reimbursement logic.
What You’ll Do:
- Lead pre and post-pay claim reviews to identify inaccurate payments using reimbursement and contract expertise.
- Analyze and interpret provider contracts to ensure payments align with negotiated terms, methodologies, and payer rules.
- Collaborate closely with engineering and data science teams to translate business and reimbursement logic into analytical and automation frameworks.
- Research and document emerging reimbursement and contract patterns, coverage rules, and billing practices to inform concept development.
- Translate complex reimbursement and contract scenarios into structured rules and business logic for implementation.
- Analyze claim-level data to pinpoint root causes of overpayments or incorrect denials and recommend corrective approaches.
- Maintain expertise on CMS and commercial payer reimbursement guidelines.
- Support quality review, concept validation, and process improvement initiatives.
What You Bring:
- 5+ years of experience in healthcare data mining or claims editing on the provider, payer, or vendor side.
- Deep understanding of provider contracts, including rate structures, carve-outs, and reimbursement methodologies.
- Strong knowledge of claims processing, coding, billing, and payment logic across CMS and commercial payers.
- Proven ability to identify improper payment patterns, root causes, and opportunities for correction.
- Strong investigative and deductive reasoning skills; able to connect policy, data, and contractual details.
- Comfortable working in close collaboration with technical teams to guide implementation of business logic.
- Self-directed, detail-oriented, and adaptable to a fast-paced, growing environment.
Preferred Qualifications:
- Coding certification (e.g., CPC, CCS, or equivalent).
- Working proficiency in SQL for data exploration and validation.
- Prior experience in cross-functional R&D or innovation teams focused on healthcare payment integrity.
What We Offer:
- Work from anywhere in the US! Machinify is digital-first.
-
Top Medical/Dental/Vision offerings
-
FSA/HSA
-
Tuition reimbursement
-
Competitive salary, 401(k) with company match
-
Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc.
Pay range: $125,000 - $135,000
Equal Employment Opportunity at Machinify
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. Pay range: $125,000 - $135,000 Equal Employment Opportunity at Machinify
- Location & working pattern
US
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/