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Healthcare Data Analyst

Scalepex Open · verified Oct 24, 2026
Remote Dallas Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Scalepex. Remote, United States · full-time · no salary stated · we estimate $75,000–$92,500.

Estimated pay

Scalepex has not published a salary for this role. The figure below is our estimate, not theirs.

$75,000 – $92,500
What the middle half of mid-level data analysis & BI roles in Dallas paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median $80,000. Last updated Oct 22, 2026.
RoleData Analysis & BI
SeniorityMid-level
LocationDallas
WorkplaceRemote
EmploymentFull-time
PostedJan 30, 2026 · 8mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Track healthcare data workflows across operational teams and keep users and DataOps leads informed about task progress and issues
  • Investigate claims, eligibility records, and file mappings, then fix enrollment changes in EDI files with engineering support
  • Coordinate EDI tests, launches, and upgrades, and resolve file-transfer or SFTP connection errors
  • Check data files and reports against business requirements, flag quality gaps, and improve workflows and documentation

What you bring

  • At least four years in system analysis, data analysis, or process improvement
  • At least two years working in healthcare
  • You can use Microsoft Office and analyze flat-file data such as CSV or pipe-delimited files
  • You have used Excel, SQL, Tableau, Power BI, or similar tools to examine data and support business decisions

Who this fits

This role suits an analyst comfortable troubleshooting healthcare data operations and working across technical and non-technical teams. It is a remote, full-time role based in Dallas. Associate or bachelor’s study and TPA experience are preferred, while ANSI 5010 transaction knowledge is also a plus.

From the employer

About the Role

The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time.

You’ll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate combines strong technical attention to detail with an understanding of how data operations support client satisfaction and broader business outcomes.

What You’ll Do

  • Maintain a strong understanding of data and task workflows across operational departments.
  • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership.
  • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings.
  • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed.
  • Coordinate ongoing EDI testing, implementations, and upgrades.
  • Troubleshoot and report operational errors, including file movement and SFTP connection issues.
  • Compare data files and reports against documented business requirements to ensure data quality and identify gaps.
  • Support continuous improvement of data workflows, documentation, and operational processes.
  • Perform additional duties as assigned by the Team Lead or DataOps Manager.

Requirements

What You Bring

  • 4+ years of experience in system analysis, data analysis, and/or process improvement.
  • 2+ years of experience in the healthcare industry; TPA experience preferred.
  • Associate or Bachelor’s degree preferred, but not required.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
  • Familiarity with flat file data structures such as CSV or pipe-delimited files.
  • Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
  • Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BIRemote

Find me work

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Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.