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Healthcare Data Analytics Jobs in Texas (NOW HIRING)

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site

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 ...

Scalepex

Healthcare Data Analyst

Dallas, TX · On-site +1

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 ...

Senior Helpers

Healthcare Data Coordinator

Dallas, TX · On-site

$23 - $24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This entry-level role is well suited for an analytical, detail-oriented professional looking to build a career in healthcare operations and data analysis. The position helps ensure the accuracy and ...

AaraTechnologies Inc

DATA ANALYST

Texas City, TX · On-site

Bachelor s degree in Data Analytics, Business, Healthcare Administration, or a related field (or equivalent experience) * Working knowledge of SQL * Experience with BI tools such as Tableau, Power BI ...

Care Continuity

Healthcare Analytics Consultant

Dallas, TX · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Overview As a Healthcare Data Analyst, you will help healthcare organizations unlock the value of their clinical and operational data. Initially focused on one of Care Continuity's largest ...

Care Continuity

Healthcare Analytics Consultant

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Role Overview As a Healthcare Data Analyst, you will help healthcare organizations unlock the value of their clinical and operational data. Initially focused on one of Care Continuity's largest ...

Pwc

Payer Healthcare Data Scientist, Manager

Dallas, TX

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These individuals analyse client needs, develop operational strategies, and offer guidance and ... impact in healthcare. Responsibilities - Apply advanced data science and machine learning ...

Pwc

Payer Healthcare Data Scientist, Manager

Houston, TX

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These individuals analyse client needs, develop operational strategies, and offer guidance and ... impact in healthcare. Responsibilities - Apply advanced data science and machine learning ...

Pwc

Payer Healthcare Data Scientist, Manager

Austin, TX

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

These individuals analyse client needs, develop operational strategies, and offer guidance and ... impact in healthcare. Responsibilities - Apply advanced data science and machine learning ...

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All JobsHealthcare Data Analytics JobsHealthcare Data Analytics Jobs in Texas

Healthcare Data Analytics information

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$22

$51

$88

How much do healthcare data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for healthcare data analytics in Texas is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What are the most commonly searched types of Healthcare Data Analytics jobs in Texas?

The most popular types of Healthcare Data Analytics jobs in Texas are:

What are popular job titles related to Healthcare Data Analytics jobs in Texas?

For Healthcare Data Analytics jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analytics jobs in Texas look for?

The top searched job categories for Healthcare Data Analytics jobs in Texas are:

What cities in Texas are hiring for Healthcare Data Analytics jobs?

Cities in Texas with the most Healthcare Data Analytics job openings:

Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.

Healthcare Data Analyst

Scalepex

Dallas, TX • On-site

Full-time

Re-posted 20 days ago

Job description

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.

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