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Data Analyst Editor Jobs (NOW HIRING)

Machinify

Senior Data Analyst

$88K - $111K/yr

We're seeking a Senior Data Analyst to join our Data Engineering team who brings three things ... Hands-on payment integrity experience: overpayment detection, COB, billing edits, or claim editing ...

LAWLEY AGENCY, LLC

Technical Data Analyst

Buffalo, NY · On-site

$51K - $85K/yr

Administration of QlikView: adding/editing/disabling users; securing data and reports ... Analyze data from multiple sources (QlikView, Salesforce, Epic, Excel, SQL) for report and ...

Maine Medical Center

Clinical Data Analyst

Westbrook, ME · On-site

$61K - $82K/yr

The Clinical Data Analyst is accountable for the analysis, testing and support of Epic and data ... Mastery of program development tools such as editors and configuration tools. Additional ...

American

Data Journalism Editor, IRW

Campus, IL

$70K - $80K/yr

The Data Editor works withother editorsand internsand graduate fellowson data collection, data ... Essential Functions: 1.) Data Analysis and Reporting * Develop and execute plans foracquiring ...

Vytwo

Senior Data Analyst Claims Reconciliation

Prosper, TX · Remote

$88K - $111K/yr

Senior Data Analyst - Claims Reconciliation Role Type: Senior Data Analyst Duration: 5+ months ... Claims editing * Prior authorization matching * Documentation or medical-record requests * Contract ...

Garmin Ltd.

Aviation Pilot Data Analyst

Saint Louis, MO · On-site

As an Aeronautical Data Analyst , you'll be responsible for editing, validating, and enhancing aeronautical data using proprietary and third-party tools. You'll ensure data accuracy, follow quality ...

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Data Analyst Editor information

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$34K

$82.6K

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How much do data analyst editor jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data analyst editor in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data analyst editor?

Data Analyst Editors are professionals who combine data analysis skills with editorial expertise to ensure the accuracy, clarity, and quality of data-driven content. They review, interpret, and refine data reports, dashboards, and publications, making complex information understandable for diverse audiences. Their role often involves collaborating with data analysts, writers, and subject matter experts to verify data sources, correct inconsistencies, and present findings in a clear and accessible manner.

How does a data analyst editor typically collaborate with other teams during the data review process?

A Data Analyst Editor frequently works with data analysts, researchers, and subject matter experts to ensure the accuracy and clarity of data reports and publications. Collaboration often involves reviewing datasets, providing feedback on data visualization, and verifying that analytical findings are communicated effectively for the intended audience. Regular meetings and feedback sessions are common, allowing for iterative improvements and alignment on project goals. This cross-functional teamwork helps maintain high standards of data integrity and readability across published materials.

What are the key skills and qualifications needed to thrive as a data analyst editor, and why are they important?

To thrive as a Data Analyst Editor, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and database systems is typically required. Attention to detail, clear communication, and the ability to critically review and edit data-driven content are essential soft skills for this role. These skills and qualities ensure accurate, insightful, and well-presented data analyses that support informed business decisions.

What is the difference between Data Analyst Editor vs Data Analyst?

AspectData Analyst EditorData Analyst
Required SkillsData analysis, editing, reporting, data visualizationData analysis, statistical skills, reporting, visualization
Work EnvironmentMedia, publishing, content-focused companiesBusiness, finance, tech industries
Common CertificationsData analysis, editing certifications, SQL, ExcelData analysis, statistical, SQL certifications
Employer UsageMedia outlets, publishing firms, content agenciesCorporations, consulting firms, tech companies

While both roles involve data analysis skills, Data Analyst Editors focus on editing and refining data reports for media or content purposes, whereas Data Analysts primarily analyze data to inform business decisions. The roles share skills like data visualization and reporting but differ in industry focus and daily tasks.

What does a data analyst editor do?

A data analyst editor reviews and refines data reports, ensuring accuracy, clarity, and consistency. They often work with data visualization tools and statistical software to interpret data insights and communicate findings effectively to stakeholders.

What cities are hiring for Data Analyst Editor jobs?

Cities with the most Data Analyst Editor job openings:

What states have the most Data Analyst Editor jobs?

States with the most job openings for Data Analyst Editor jobs include:

What are popular job titles related to Data Analyst Editor jobs?

For Data Analyst Editor jobs, the most frequently searched job titles are:

Infographic showing various Data Analyst Editor job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 59% Full Time, 8% Part Time, and 25% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Data Analyst

Remote

Machinify
Software Development • 11 - 50 employees
Learn more about Machinifyexternal

$88K - $111K/yr

Per diem

Medical, Dental, Vision, Retirement

Re-posted 15 days ago

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.
We're seeking a Senior Data Analyst to join our Data Engineering team who brings three things together: deep healthcare domain expertise that lets you engage health plan clients directly on payment and process questions; the ability to quickly learn and work across Machinify's internal products - from data ingestion through claims adjudication; and a drive to develop and build AI-driven workflows that continuously raise the bar on what our analyst function can do. This is not a pure back-office role - you'll be the bridge between client needs, internal product knowledge, and data-driven outcomes.
What You'll Do
  • Collaborate with clients and internal stakeholders to understand payment integrity requirements, document process flows, and integrate analytical outputs with client workflows and downstream adjudication systems
  • Develop deep understanding of Machinify's internal processes and how they integrate together - from data ingestion through claims adjudication - ensuring analytical solutions are accurate, traceable, and aligned with business needs
  • Actively drive AI adoption: prompt and iterate with LLMs to accelerate analysis, identify processes where AI can replace manual workflows, and contribute to AI-assisted pipeline development
  • Write and maintain complex analytical SQL against large-scale claims datasets: window functions, CTEs, multi-table joins, query optimization, and production-quality logic that runs reliably at scale
  • Identify and build AI-driven automation workflows that replace or accelerate manual analytical processes - moving from one-off prompts to repeatable, team-shareable tooling
  • Design and implement data transformations that convert raw medical and institutional claims into canonical models, applying healthcare coding standards (ICD-10, CPT, HCPCS, UB-04, CMS-1500) throughout
  • Drive payment integrity analysis - identify overpayment patterns, coordination of benefits issues, and billing edit opportunities by applying deep knowledge of payer policy, CMS regulations, and provider reimbursement methodologies
  • Conduct data quality audits and build monitoring frameworks that surface anomalies before they reach production
  • Support onboarding of new client data feeds, ensuring smooth integration with minimal disruption
  • Partner with engineers, clinical staff, and product managers to translate complex healthcare requirements into data solutions
  • Mentor analysts and engineers on healthcare domain questions - serving as the go-to SME on coding, claims adjudication, and payer policy
  • Document transformation logic, data lineage, and analytical methodologies to support knowledge transfer and audit readiness

What You Bring
  • 5+ years of data analysis experience and working directly with healthcare claims data
  • Deep knowledge of medical claim types (professional and institutional), coding systems (ICD-10-CM/PCS, CPT, HCPCS), and standard form formats (UB-04, CMS-1500)
  • Demonstrated experience using LLMs or AI tools to accelerate analytical work - not as a novelty, but as a repeatable part of your workflow
  • Expert-level SQL: complex analytical queries, window functions, CTEs, performance tuning against datasets of hundreds of millions of rows
  • Hands-on payment integrity experience: overpayment detection, COB, billing edits, or claim editing logic
  • Familiarity with CMS regulations and commercial payer guidelines as they apply to claims adjudication and payment policy
  • Strong communicator - able to discuss healthcare process and payment logic directly with health plan clients and non-technical stakeholders
  • Ability to translate ambiguous business and clinical requirements into precise, well-documented data logic
  • Working knowledge of provider reimbursement methodologies - MS-DRG/APR-DRG pricing, fee schedules, per diem, and capitation
  • Proficiency with Spark SQL or a comparable distributed query engine - writing and optimizing queries against large-scale data environments is a daily expectation
  • Experience with Databricks or a cloud data lakehouse (Delta Lake, Snowflake, BigQuery)
  • Background in ETL/ELT pipeline development or close collaboration with data engineers on pipeline design
  • Exposure to value-based care arrangements or risk adjustment (HCC coding, RADV)
  • Prior experience at a health plan, payment integrity vendor, or healthcare analytics firm

What We Offer
  • Work from anywhere in the US! Machinify is digital-first.
  • Full Medical/Dental/Vision for employees & their families
  • Flexible and trusting environment where you'll feel empowered to do your best work
  • Unlimited FTO
  • Competitive salary, equity, 401(k) including employer match

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. The base salary range for this role is $140,000-$170,000. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.
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/

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