Healthcare Data Analyst Jobs in Texas
Healthcare Data Analyst jobs in Texas are among the most active in the country, with strong demand from entry-level roles through senior positions across health systems, insurance payers, and large physician groups. Houston, Dallas, and Austin drive most of the hiring, where employers like Baylor Scott & White Health, UTHealth Houston, and Blue Cross Blue Shield of Texas consistently post openings. The most sought-after specialties in Texas right now are population health analytics, revenue cycle analysis, and clinical quality reporting. Find a role that fits below and apply directly.
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ASSYST is seeking an experienced Senior Healthcare Data Engineer to lead system integration, programming automation, and data modernization initiatives for our Client in Austin TX (Hybrid)
The Senior Healthcare Data Engineer leads the effort to evaluate and specify business requirements for electronic initial case report (eICR) ingestion, design auto-population mechanisms for registry fields, streamline the clinical review triage process, and construct operational dashboards. Shall be working closely with epidemiologists, clinical abstractors, and database architects, the developer will build automated, reliable workflows to extract, validate, and incorporate complex clinical and public health data into active surveillance workflows.
Key Responsibilities:
- Conduct an in-depth needs assessment to determine system and functional requirements for TBIRDS to ingest incoming eICRs and auto-populate designated registry fields.
- Translate epidemiological and clinical surveillance workflows into concrete technical specifications, data dictionaries, and architectural recommendations.
- Produce formal System Requirements Documents (SRD) and comprehensive integration runbooks to ensure long-term solution sustainability
- Design, build, test, and maintain automated data pipelines using SAS, Python, R, or SQL to extract, ingest, and process high-volume electronic health record (EHR) data feeds.
- Create automated rules for deterministic and probabilistic record linkage, entity deduplication, and integration across relational databases.
- Automate the clinical review workflow to triage and route incoming case alerts, minimizing manual abstraction lag.
- Build, configure, and maintain interactive operational dashboards tracking eCR ingestion volumes, data completeness, processing bottlenecks, and transformation error rates.
- Present actionable system and surveillance metrics to branch leadership, epidemiologists, and technical collaborators.
- Establish unit, integration, and regression testing frameworks to validate pipeline reliability, data completeness, and standardization.
- Ensure transformations strictly preserve semantic meaning across clinical terminology sets and interoperability standards.
- Debug script issues, address parsing anomalies, and continuously optimize data ingestion throughput.
- Maintain end-to-end documentation for all scripts, schemas, data flows, and automated ETL procedures.
- Interface between epidemiological researchers, IT infrastructure teams, and external healthcare reporting partners to ensure aligned system modernization.
Qualifications & Skill Requirements
- 8+ Years in Scripting & Statistical Programming, Hands-on development, testing, maintenance, and troubleshooting using SAS, Python, R, or comparable enterprise data languages.
- 8+ Years in System Integration & Automation, Proven track record designing automated interoperability workflows, data exchange routines, and dashboard solutions.
- 8+ Years in Health & Database Systems, Experience querying and managing complex structured or semi-structured healthcare, public health, or administrative datasets using relational databases (SQL).
- 8+ Years in System Requirements & Technical Analysis, Demonstrated ability to evaluate business and programmatic needs and translate them into formal technical specifications and system reports.
- 8+ Years in Data Validation & Quality Assurance, Methodological testing, auditing, and verification of automated data integration pipelines.
- 8+ Years in Technical Documentation & Communication, Strong documentation habits alongside demonstrated ability to explain complex technical concepts to non-technical and clinical staff.
Preferred Qualifications
- 2+ Years in Healthcare Interoperability & Messaging, Direct experience handling electronic case reporting (eCR / eICR), Health Information Exchanges (HIE), Electronic Health Records (EHR), and standards such as HL7 (v2/v3), CDA, HL7 FHIR, XML, or JSON.
- 2+ Years in Clinical Terminology, Familiarity working with standardized clinical classifications such as SNOMED CT, LOINC, and ICD-10.
- 2+ Years in Public Health & Registry Systems, Experience working with state public health registries, disease surveillance systems, data linkage/matching methods, and production-grade ETL pipelines.
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law
ASSYST is seeking an experienced Senior Healthcare Data Engineer to lead system integration, programming automation, and data modernization initiatives for our Client in Austin TX (Hybrid)
The Senior Healthcare Data Engineer leads the effort to evaluate and specify business requirements for electronic initial case report (eICR) ingestion, design auto-population mechanisms for registry fields, streamline the clinical review triage process, and construct operational dashboards. Shall be working closely with epidemiologists, clinical abstractors, and database architects, the developer will build automated, reliable workflows to extract, validate, and incorporate complex clinical and public health data into active surveillance workflows.
Key Responsibilities:
- Conduct an in-depth needs assessment to determine system and functional requirements for TBIRDS to ingest incoming eICRs and auto-populate designated registry fields.
- Translate epidemiological and clinical surveillance workflows into concrete technical specifications, data dictionaries, and architectural recommendations.
- Produce formal System Requirements Documents (SRD) and comprehensive integration runbooks to ensure long-term solution sustainability
- Design, build, test, and maintain automated data pipelines using SAS, Python, R, or SQL to extract, ingest, and process high-volume electronic health record (EHR) data feeds.
- Create automated rules for deterministic and probabilistic record linkage, entity deduplication, and integration across relational databases.
- Automate the clinical review workflow to triage and route incoming case alerts, minimizing manual abstraction lag.
- Build, configure, and maintain interactive operational dashboards tracking eCR ingestion volumes, data completeness, processing bottlenecks, and transformation error rates.
- Present actionable system and surveillance metrics to branch leadership, epidemiologists, and technical collaborators.
- Establish unit, integration, and regression testing frameworks to validate pipeline reliability, data completeness, and standardization.
- Ensure transformations strictly preserve semantic meaning across clinical terminology sets and interoperability standards.
- Debug script issues, address parsing anomalies, and continuously optimize data ingestion throughput.
- Maintain end-to-end documentation for all scripts, schemas, data flows, and automated ETL procedures.
- Interface between epidemiological researchers, IT infrastructure teams, and external healthcare reporting partners to ensure aligned system modernization.
Qualifications & Skill Requirements
- 8+ Years in Scripting & Statistical Programming, Hands-on development, testing, maintenance, and troubleshooting using SAS, Python, R, or comparable enterprise data languages.
- 8+ Years in System Integration & Automation, Proven track record designing automated interoperability workflows, data exchange routines, and dashboard solutions.
- 8+ Years in Health & Database Systems, Experience querying and managing complex structured or semi-structured healthcare, public health, or administrative datasets using relational databases (SQL).
- 8+ Years in System Requirements & Technical Analysis, Demonstrated ability to evaluate business and programmatic needs and translate them into formal technical specifications and system reports.
- 8+ Years in Data Validation & Quality Assurance, Methodological testing, auditing, and verification of automated data integration pipelines.
- 8+ Years in Technical Documentation & Communication, Strong documentation habits alongside demonstrated ability to explain complex technical concepts to non-technical and clinical staff.
Preferred Qualifications
- 2+ Years in Healthcare Interoperability & Messaging, Direct experience handling electronic case reporting (eCR / eICR), Health Information Exchanges (HIE), Electronic Health Records (EHR), and standards such as HL7 (v2/v3), CDA, HL7 FHIR, XML, or JSON.
- 2+ Years in Clinical Terminology, Familiarity working with standardized clinical classifications such as SNOMED CT, LOINC, and ICD-10.
- 2+ Years in Public Health & Registry Systems, Experience working with state public health registries, disease surveillance systems, data linkage/matching methods, and production-grade ETL pipelines.
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law
See All 10 Healthcare Data Analyst Jobs in Texas
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Find Healthcare Data Analyst JobsHealthcare Data Analyst Jobs by City in Texas
Where Texas roles are concentrated, by current openings.
Healthcare Data Analyst Job Market in Texas
A snapshot from current Texas openings, updated as new roles post.
Who's Hiring
What Texas Employers Look For
The qualifications that appear most often in healthcare data analyst jobs across Texas.
- Bachelor's degree in health informatics, statistics, public health, or a related field
- Proficiency in SQL for querying large clinical and claims datasets
- Experience with BI tools such as Tableau, Power BI, or Qlik
- Familiarity with healthcare data standards including ICD-10, CPT, and HL7
- Working knowledge of Epic, Cerner, or another major EHR platform
- Understanding of HIPAA privacy rules and protected health information handling
Healthcare Data Analyst Jobs in Texas: Frequently Asked Questions
How do you become a healthcare data analyst in Texas?
Most employers in Texas expect at least a bachelor's degree in health informatics, biostatistics, public health, or a closely related field. Texas does not require a state-issued license specifically for healthcare data analysts, so the path centers on education, technical skills, and domain knowledge. Earning a Registered Health Information Administrator credential through AHIMA or a Certified Health Data Analyst designation strengthens a candidacy considerably with Texas health systems and payers.
How much do healthcare data analysts make in Texas?
Healthcare data analysts in Texas earn a median of about $122,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $64,540 for the lowest 10% to over $170,780 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire healthcare data analysts in Texas?
Employers hiring healthcare data analysts in Texas right now include VeeRteq Solutions, PwC, and Dataspace, based on current listings on Migrate Mate as of November 2026. Texas's concentration of large integrated health systems, regional payers, and academic medical centers means demand is consistent across both clinical and administrative analytics functions throughout the state.
Which Texas cities have the most healthcare data analyst jobs?
Austin, Houston, and Dallas account for the greatest concentration of healthcare data analyst openings in Texas. Houston's density of academic medical centers, cancer research institutions, and payer headquarters drives the largest share of postings, while Dallas-Fort Worth benefits from major health system campuses and a growing health tech sector, and Austin attracts openings tied to digital health startups and state government health agencies.
Are there remote healthcare data analyst jobs in Texas?
Yes, and more than most healthcare roles. About 75% of healthcare data analyst openings tied to Texas are remote or hybrid as of November 2026, reflecting how central this role is to desk-based analytics work. Positions focused on population health reporting, revenue cycle dashboards, and payer data are the most consistently offered on a remote or hybrid basis.
How can I get hired as a healthcare data analyst in Texas with little or no experience?
The most realistic entry path is a junior or associate analyst role inside a large Texas health system, where structured onboarding programs exist specifically for new graduates. Baylor Scott & White Health and UTHealth Houston both run analyst development tracks that accept candidates with strong SQL fundamentals and relevant coursework even without professional experience. Lateral moves from medical coding, health information management, or clinical documentation roles are a common stepping stone. A portfolio of SQL queries or Tableau dashboards built on public CMS datasets gives a candidate a concrete edge in interviews.
Where can I find and apply to healthcare data analyst jobs in Texas?
You can find and apply to healthcare data analyst jobs in Texas on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the listings, find roles that fit your background and location, and apply directly to the ones that match.
See All 10 Healthcare Data Analyst Jobs in Texas
Find roles in Texas that match your experience and apply in just a few clicks.
Find Healthcare Data Analyst Jobs