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Senior Analyst (Data mining)

Machinify · Remote - US · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyMachinify
TitleSenior Analyst (Data mining)
Normalized title-
Department / teamData mining
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-07 / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Machinify.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data mining.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMachinify
Source21b206a0-4e55-4c82-8ff8-b54876e4ec8c
ATS providerGreenhouse

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. About the Role 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’ll 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. Required Qualifications · 5+ years 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 or billing certifications. · Working proficiency in SQL for data exploration and validation. · Prior work 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 Solid PTO program 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 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/

Full job record

Job IDd8343a7e1f81659d9aa625a21b59305366dc52ac
Org IDf98f4c50-bb90-40d5-9ce4-233e819a9ac8
Source ID21b206a0-4e55-4c82-8ff8-b54876e4ec8c
Board ID21b206a0-4e55-4c82-8ff8-b54876e4ec8c
Providergreenhouse
Provider Job Key4207416009
TitleSenior Analyst (Data mining)
Normalized Title
Statusactive
Activeyes
Location TextRemote - US
DepartmentData mining
Team
Employment TypeFull-time
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/machinifyinc/jobs/4207416009
Apply URLhttps://job-boards.greenhouse.io/machinifyinc/jobs/4207416009
First Seen At2026-05-29 22:57:06Z
Last Seen At2026-06-06 19:33:01Z
Last Checked At2026-06-06 19:33:01Z
Last Changed At2026-06-03 10:41:08Z
Inactive At
Source Posted At2026-04-07 21:45:35Z
Source Updated At2026-06-02 21:00:16Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=machinifyinc/date=2026-06-06/2026-06-06T19-33-01-559Z-33d1382111212feddac870b802a4b68affc84182e83325400b7f2fe367ece74e.json
Event Fields
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Parsed Structured
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}
Extensions
{}
Native Structured
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  "first_published": "2026-04-07T17:45:35-04:00",
  "application_deadline": null
}
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