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Health Data Analytics Jobs in Texas (NOW HIRING)

CCS INC

Project Manager Data Analytics

Plano, TX · On-site

$65 - $75/hr

Health insurance * Vision insurance Qualifications * Bachelor's degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In total 10+ Years of ...

Seadrill

Data Analytics Manager 90150

Houston, TX · On-site

Nothing is more important to us than the health, safety and security of our workforce and the ... Own the BI/analytics platform (Power BI, Oracle Fusion Data Intelligence, and Microsoft Fabric) and ...

ABB

Quality Systems & Data Analytics

Houston, TX · On-site +1

... data coordination, business analytics, or similar field) * Strong organizational and data ... Health Advocate support resources for mental/behavioral health, general health navigation and ...

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All JobsHealth Data Analytics JobsHealth Data Analytics Jobs in Texas

Health Data Analytics information

See Texas salary details

$22

$51

$88

How much do health data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for health 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 health data analytics?

Health data analytics is the process of examining large sets of healthcare data to uncover patterns, trends, and insights that can help improve patient outcomes and healthcare operations. Professionals in this field use statistical, computational, and analytical methods to interpret data from electronic health records, clinical trials, claims, and other sources. The goal is to support evidence-based decision making, optimize resource allocation, and enhance the quality of care. Health data analysts often work in hospitals, research institutions, insurance companies, and public health organizations.

What are the key skills and qualifications needed to thrive as a health data analyst?

To thrive as a Health Data Analyst, you need a solid background in statistics, data analysis, and health informatics, often supported by a degree in a related field such as public health, statistics, or computer science. Proficiency with analytical tools like SQL, Python, R, and healthcare data systems (e.g., EHRs, HL7) is typically required, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help translate complex data into actionable healthcare insights. These skills enable analysts to improve patient outcomes, support decision-making, and drive efficiency within healthcare organizations.

What are some common challenges faced by professionals working in health data analytics, and how can they be managed?

Professionals in Health Data Analytics often encounter challenges such as managing large volumes of sensitive patient data, ensuring data privacy and compliance with regulations like HIPAA, and integrating data from multiple sources with varying formats and quality. Addressing these issues requires strong technical skills, attention to detail, and collaboration with IT, clinical, and compliance teams. Continuous learning about new analytics tools and regulatory changes also helps professionals stay effective and maintain data integrity.

What is the difference between Health Data Analytics vs Health Data Analysis?

AspectHealth Data AnalyticsHealth Data Analysis
Required SkillsData analysis, statistical skills, knowledge of healthcare dataData interpretation, statistical skills, healthcare knowledge
Tools & SoftwareAnalytics platforms, programming languages (Python, R)Excel, statistical software, visualization tools
Work EnvironmentData teams, healthcare organizations, research institutionsHealthcare providers, research settings, hospitals
FocusExtracting insights from large datasets, predictive modelingInterpreting data results, reporting findings

Health Data Analytics involves using advanced tools and techniques to extract insights from large healthcare datasets, often focusing on predictive modeling and data-driven decision-making. Health Data Analysis emphasizes interpreting healthcare data to inform clinical or operational decisions, typically involving statistical analysis and reporting. Both roles require healthcare knowledge and analytical skills but differ mainly in scope and complexity.

What are popular job titles related to Health Data Analytics jobs in Texas? For Health Data Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Health Data Analytics jobs in Texas look for? The top searched job categories for Health Data Analytics jobs in Texas are:
What cities in Texas are hiring for Health Data Analytics jobs? Cities in Texas with the most Health Data Analytics job openings:
Health Data Analytics jobs near you
Infographic showing various Health Data Analytics job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $106,090 per year, or $51 per hour.

Project Manager Data Analytics

CCS INC

Plano, TX • On-site

$65 - $75/hr

Full-time

Medical, Dental, Vision

Posted 9 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Vision insurance

 Qualifications
  • Bachelor’s degree in data science, Information Systems, Business Analytics, Computer Science OR equivalent work experience. In total 10+ Years of experience. 
  • 10 years + Project Management experience
  • AWS or Azure Data certifications.
  • 7-8 years of experience in data wrangling, profiling, testing tools.
  • 7-8 years of experience in some of these technologies: Power BI and/or Tableau, PowerApps, Alteryx and/or KNIME
  • 5-6 years of experience in Cloud platforms: AWS and/or Azure
  • Proficient in complex SQL and Excel
  • Exposure to Python or R 
Responsibilities
  • Data Democratization related activities to drive data drivel decision making 
  • Develop and maintaining interactive dashboards and reports using Power BI, Tableau, and PowerApps
  • Develop data workflows and automation using Alteryx, KNIME, or similar data analytics tools
  • Analyze customer behavior, supply chain metrics, and manufacturing KPIs to support operational decision-making
  • Collaborate cross-functionally with engineering, manufacturing, sales, and digital product teams