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Health Informatics Data Analyst Jobs in Dallas, TX

Research Data Analyst, Senior

Fort Worth, TX ยท On-site

$111K - $111K/yr

The Sr. Research Data Analyst is a critical member of the Research Informatics team, responsible ... Bachelor's degree in Health Information Management, Biomedical Informatics, Public Health, or ...

Clinical Informatics Specialist

Dallas, TX ยท On-site

$100K - $120K/yr

... data extraction. * Certified Health Informatician (e.g., CAHIMS/CPHIMS) or RHIA/RHIT certification. Responsibilities As the college's sole Clinical Informatics Analyst, this position is responsible ...

Overview The Epic Data Acquisition Analyst works with client health systems to extract clinical ... Bachelor's degree in Computer Information Systems, Computer Science, Health Informatics, or a ...

Overview The Epic Data Acquisition Analyst works with client health systems to extract clinical ... Bachelor's degree in Computer Information Systems, Computer Science, Health Informatics, or a ...

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 ...

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 ...

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 ...

Data Analyst

Dallas, TX ยท Remote

$23.50 - $30.50/hr

As a Data Analyst at Orionyx Engineering Ltd. , you will play a pivotal role in transforming data ... Health insurance * Life insurance * Paid time off

Data Analyst

Plano, TX ยท On-site

$85K - $95K/yr

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Health, Dental, Vision, Telemedicine, Pet Insurance plus more! * 401k enrollment with CAVA ...

Senior Business Analyst

Irving, TX ยท On-site

$118K - $155K/yr

This position requires a Master's degree or equivalent in Statistics, Health Informatics and Analytics, or a related field and 3 years of experience in a data analyst or related occupation. Must also ...

Data Analyst

Plano, TX ยท On-site

$38 - $48/hr

Candidate Pipeline Health * Requisition Aging * Recruiter Productivity * Interview Activity * Offer ... Data Analysis * Data Validation * Dashboard Development * Advanced Excel * Business Requirements ...

Senior Business Analyst

Irving, TX ยท On-site +1

$118K - $155K/yr

This position requires a Master's degree or equivalent in Statistics, Health Informatics and Analytics, or a related field and 3 years of experience in a data analyst or related occupation. Must also ...

Senior Data Analyst

Plano, TX ยท Remote

$88K - $111K/yr

Collect, clean, and analyze healthcare claims and eligibility data from multiple sources to identify trends, patterns, and insights. * Respond to ad-hoc analytical requests end-to-end -- from scoping ...

Showing results 21-40

Health Informatics Data Analyst information

See Dallas, TX salary details

$42K

$84.7K

$123.7K

How much do health informatics data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for health informatics data analyst in Dallas, TX is $84,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $98,900.00 per year, depending on experience, location, and employer.

What is a health informatics data analyst?

A Health Informatics Data Analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, operational efficiency, and decision-making. They work with electronic health records (EHRs), databases, and analytics tools to identify trends and support evidence-based practices. Their role bridges healthcare, IT, and data science, ensuring that data-driven insights enhance care quality and efficiency.

What are typical daily responsibilities for a health informatics data analyst?

As a Health Informatics Data Analyst, your typical day involves gathering, cleaning, and analyzing health data from multiple sources, such as electronic health records and clinical systems. You'll frequently collaborate with healthcare professionals and IT teams to understand data requirements, identify trends, and present findings through reports and data visualizations. Tasks may also include developing and maintaining dashboards, supporting quality improvement initiatives, and ensuring data complies with privacy regulations. This role requires balancing technical tasks with regular communication across interdisciplinary teams.

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

Health Informatics Data Analysts need strong analytical skills, a foundational understanding of healthcare systems, and a background in statistics or information management, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, as well as experience with EHR systems and certifications like CAHIMS are highly valued. Attention to detail, problem-solving abilities, and strong communication skills are essential soft skills for excelling in this role. These skills enable analysts to extract meaningful insights from complex healthcare data, ensuring quality improvements and informed decision-making within healthcare organizations.

How do I become a health informatics data analyst?

To become a health informatics data analyst, you typically need a bachelor's degree in health informatics, computer science, or a related field. Gaining skills in data analysis tools like SQL, Excel, and statistical software, along with understanding healthcare systems and data privacy regulations, is essential; some roles may also require certification such as Certified Health Data Analyst (CHDA).

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field within health informatics, involving analyzing medical data to improve patient outcomes and operational efficiency. It requires skills in data management, statistical tools, and knowledge of healthcare systems, making it a promising career with increasing demand and opportunities for advancement.

What does a health informatics data analyst do?

A health informatics data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes and operational efficiency. They use tools like SQL, Excel, and data visualization software, and often work with electronic health records (EHR) systems to support clinical and administrative decision-making.

What are the most commonly searched types of Health Informatics Data Analyst jobs in Dallas, TX?

The most popular types of Health Informatics Data Analyst jobs in Dallas, TX are:

What are popular job titles related to Health Informatics Data Analyst jobs in Dallas, TX?

For Health Informatics Data Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Health Informatics Data Analyst jobs in Dallas, TX look for?

The top searched job categories for Health Informatics Data Analyst jobs in Dallas, TX are:

Infographic showing various Health Informatics Data Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $84,688 per year, or $40.7 per hour.

Technical Solutions Engineer - Pre

Verily Life Sciences

Dallas, TX โ€ข On-site

Full-time

Re-posted 18 days ago


Key responsibilities

  • Analyze customer technical and business requirements to design implementation architectures, data strategies, and scalable cloud-native ingestion and transformation pipelines.

  • Partner directly with customers to onboard, integrate, harmonize, and curate healthcare and research data sources into standardized models.

  • Build, configure, and optimize data processing workflows, providing technical enablement, training, and support from discovery to production deployment.


Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
The Verily Data Refinery team partners with healthcare organizations, life sciences companies, research institutions, and data stewards to transform fragmented healthcare and research data into scalable, curated, and analysis-ready datasets. We work at the intersection of clinical data, cloud technology, and data science to enable customers to ingest, harmonize, enrich, and operationalize structured and unstructured data across complex ecosystems.
As a Data Refinery Technical Solutions Engineer, you will serve as a trusted technical advisor and implementation partner, helping customers build data pipelines and curation strategies that unlock meaningful insights and accelerate biomedical research and healthcare innovation. You will work closely with Product, Engineering, Clinical Informatics, Data Science, and Commercial teams to shape both customer solutions and future product capabilities.
Responsibilities
  • Analyze customer technical and business requirements to design implementation architectures, data strategies, and scalable cloud-native ingestion and transformation pipelines for structured and unstructured data.
  • Partner directly with customers to onboard, integrate, harmonize, and curate healthcare and research data sources including EHRs, registries, genomic and imaging systems, and custom datasets into standardized models such as FHIR and OMOP.
  • Collaborate with Clinical Informatics teams to map and normalize clinical concepts, terminology systems, and workflows, while supporting patient identity resolution, longitudinal record generation, data linking, and data quality validation.
  • Build, configure, and optimize data processing workflows, while providing technical enablement, training, best practices, and implementation support from discovery and proof of concept through pilot and production deployment.
  • Partner with Product, Engineering, and Sales teams to influence product direction through customer feedback and develop reusable technical assets, reference architectures, implementation playbooks, and automation frameworks that improve delivery scalability.

Qualifications
Minimum Qualifications
  • BA/BS degree in Computer Science, Engineering, Biomedical Informatics, Health Informatics, Data Science, or a related field, or equivalent practical experience.
  • 6+ years of experience in healthcare technology, data engineering, technical consulting, solutions engineering, or similar customer-facing technical roles.
  • Hands-on experience with cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and/or Microsoft Azure.
  • Proficiency in Python, Golang, Terraform, YAML, and SQL, including the ability to develop solutions and optimize moderately complex queries.
  • Strong analytical, problem-solving, communication, and project management skills, with a demonstrated ability to take ownership, proactively solve customer challenges, and manage multiple engagements simultaneously.

Preferred Qualifications
  • Experience working with healthcare or life sciences data, including EHR systems such as Epic, Cerner, Allscripts, or other clinical systems.
  • Experience designing, implementing, and debugging ETL/ELT pipelines and managing large-scale datasets.
  • Familiarity with healthcare and research data standards, including FHIR, HL7, CCD/C-CDA, ICD, SNOMED, LOINC, and other healthcare terminology systems.
  • Familiarity with data warehousing and analytics technologies such as BigQuery, Snowflake, Databricks, or Spark.
  • Understanding of clinical data harmonization, patient matching, longitudinal record generation, and data quality frameworks.
  • Experience with unstructured data processing techniques, NLP, AI/ML workflows, or biomedical data abstraction.
  • Experience building APIs and integrating systems using modern interoperability standards.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
Compensation Information
The US base salary range for this full-time position is $103,500 - $155,500 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.