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Healthcare Data Analyst Jobs in Draper, UT (NOW HIRING)

Klas-Research

Senior Analyst

Pleasant Grove, UT · On-site

$77 - $104/hr

... data, you'll translate research into clear, credible insights that healthcare leaders rely on to ... Analyze qualitative and quantitative data to identify themes, trends, and meaningful takeaways ...

KLAS Research

Senior Analyst

Pleasant Grove, UT · On-site

$90K/yr

... data, you'll translate research into clear, credible insights that healthcare leaders rely on to ... Analyze qualitative and quantitative data to identify themes, trends, and meaningful takeaways ...

KLAS Research

Senior Analyst

Pleasant Grove, UT · On-site

$90K/yr

... data, you'll translate research into clear, credible insights that healthcare leaders rely on to ... Analyze qualitative and quantitative data to identify themes, trends, and meaningful takeaways ...

Raytheon

Principal Analyst Data Manager

Provo, UT

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... healthcare, wellness, retirement and work/life benefits; career development and recognition ...

Raytheon

Principal Analyst Data Manager

Provo, UT

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... healthcare, wellness, retirement and work/life benefits; career development and recognition ...

Raytheon

Principal Analyst Data Manager

Provo, UT · On-site

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... healthcare, wellness, retirement and work/life benefits; career development and recognition ...

CHG Healthcare

React Engineer

Salt Lake City, UT · On-site

$83K - $160K/yr

Keeping healthcare healthy can be as fun as it is rewarding CHG Healthcare's Data & Analytics division is looking for an experienced React Engineer to join our Data & Analytics Platform team. The ...

CHG Healthcare

Staff React Engineer

Salt Lake City, UT · On-site

$146K - $282K/yr

Keeping healthcare healthy can be as fun as it is rewarding CHG Healthcare's Data & Analytics division is looking for a Staff React Engineer to join our Data & Analytics Platform team. The Data ...

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Showing results 21-40

All JobsHealthcare Data Analyst JobsHealthcare Data Analyst Jobs in Draper, UT

Healthcare Data Analyst information

See Draper, UT salary details

$10

$34

$58

How much do healthcare data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for healthcare data analyst in Draper, UT is $34.90, according to ZipRecruiter salary data. Most workers in this role earn between $27.21 and $39.57 per hour, depending on experience, location, and employer.

What does a healthcare data analyst do?

A Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work with electronic health records, billing data, and clinical information to identify trends, improve patient outcomes, and ensure operational efficiency. Their insights support healthcare providers, administrators, and policymakers in optimizing services and reducing costs. Analysts often use statistical tools and data visualization techniques to communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a healthcare data analyst, and why are they important?

To thrive as a Healthcare Data Analyst, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, statistics, or a related field. Familiarity with data analytics tools such as SQL, Excel, Tableau, and healthcare-specific software like Epic or Cerner is essential, and certifications like Certified Health Data Analyst (CHDA) can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help translate complex data into actionable insights for healthcare teams. These skills are vital for improving patient outcomes, streamlining operations, and supporting data-driven decision-making in healthcare organizations.

What are some common challenges faced by healthcare data analysts when working with clinical data?

Healthcare Data Analysts often encounter challenges such as dealing with incomplete or inconsistent patient records, integrating data from various electronic health record (EHR) systems, and ensuring patient privacy while analyzing sensitive information. Navigating complex regulatory requirements like HIPAA is also a key part of the role. Analysts must develop strong problem-solving skills and maintain close collaboration with clinical and IT teams to ensure data accuracy and meaningful insights.

What is the difference between Healthcare Data Analyst vs Healthcare Data Scientist?

AspectHealthcare Data AnalystHealthcare Data Scientist
Required CredentialsBachelor's in health informatics, data analysis, or related field; certifications like CPC or CAP often preferredAdvanced degrees (Master's or PhD) in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) beneficial
Work EnvironmentHospitals, clinics, insurance companies, healthcare IT firmsResearch institutions, healthcare tech companies, pharmaceutical firms
Employer & Industry UsageCommonly employed in healthcare settings for data reporting and analysisUsed in advanced data modeling, predictive analytics, and research projects

Healthcare Data Analysts focus on interpreting healthcare data to improve patient outcomes and operational efficiency, often working with existing datasets. Healthcare Data Scientists perform more complex data modeling and predictive analytics, requiring advanced technical skills and higher education. Both roles are vital in healthcare but differ in scope and complexity.

How do I become a certified healthcare data analyst?

To become a certified healthcare data analyst, you typically need a bachelor's degree in health informatics, data science, or a related field, along with experience working with healthcare data. Earning certifications such as the Certified Health Data Analyst (CHDA) from the American Health Information Management Association (AHIMA) or the Certified Analytics Professional (CAP) can enhance your credentials. Proficiency in data analysis tools like SQL, Excel, and statistical software is also important for this role.

Is there a demand for healthcare data analysts?

Healthcare data analysts are in high demand due to the increasing focus on data-driven decision making in healthcare organizations. The role requires skills in data management, statistical analysis, and tools like SQL and Excel, with job growth expected to be faster than average over the next several years.

What degree do you need to be a healthcare data analyst?

Healthcare data analysts typically need at least a bachelor's degree in fields such as health informatics, statistics, data science, or a related area. Many employers prefer candidates with a master's degree or relevant certifications in data analysis or healthcare analytics. Strong skills in data management, statistical software, and understanding healthcare systems are also important.
More about Healthcare Data Analyst jobs

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For Healthcare Data Analyst jobs in Draper, UT, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analyst jobs in Draper, UT look for?

The top searched job categories for Healthcare Data Analyst jobs in Draper, UT are:

What cities near Draper, UT are hiring for Healthcare Data Analyst jobs?

Cities near Draper, UT with the most Healthcare Data Analyst job openings:

Healthcare Data Analyst jobs near you
Infographic showing various Healthcare Data Analyst job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,583 per year, or $34.9 per hour.

Senior Software Engineer- Big Data & MCP, Data Foundations

RevSpring, Inc.

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Re-posted 8 days ago

Job description

Job Title: Senior Software Engineer- Big Data & MCP, Data Foundations
Job Summary:
Essential Functions:
  • Collaborate and Innovate: Partner with product managers, data engineers, and business leaders to translate complex product and data requirements into scalable, reliable data pipelines and the search experiences they power.
  • Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
  • Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources.
  • Optimize Data & Search Performance: Deeply tune pipeline throughput, data warehouse performance, and search indexing - optimizing BigQuery cost and query performance and Elasticsearch index design to ensure data freshness, relevance, and scalability across high-volume datasets.
  • Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling design discussions, and mentoring, driving a culture of high-quality software and trustworthy data.
  • Pioneer New Technologies: Stay at the forefront of modern data engineering, the analytics-engineering ecosystem (e.g., DBT, BigQuery), and information retrieval, proactively applying these advancements to strengthen our data platform and the products it powers.

Minimum Requirements:
Specific Job Skills:
  • Data Engineering: Proven experience designing and orchestrating large-scale ETL/ELT pipelines using Apache Beam/Google Cloud Dataflow (or similar), and DBT, built on modern cloud data warehouses. BigQuery experience is a plus.
  • Databases & SQL: 4+ years of experience working with relational databases and analytical data warehouses, with deep, advanced SQL skills and solid data-modeling fundamentals (e.g., dimensional and normalized modeling).
  • Search & Indexing: Working experience with search indexing and Elasticsearch, including index management, mappings, and building and maintaining search indices from pipeline output. Familiarity with hybrid (BM25 + semantic/vector) search is a plus.
  • Backend & Data Services: Experience building scalable Python services and high-performance data APIs, including developing Model Context Protocol (MCP) servers that expose data and tooling to downstream and AI consumers.
  • Infrastructure & DevOps: Strong understanding of containerization (Docker), CI/CD methodologies (e.g., GitHub Actions), Git, Infrastructure as Code (e.g., Terraform/Pulumi), and managing services within cloud platforms (3+ years of GCP experience preferred).
  • Familiarity with healthcare data standards (e.g., NPPES/NPI registries, NUCC Provider Taxonomy, machine-readable files (MRFs) for cost transparency, and FHIR).
  • Experience with data quality and pipeline testing frameworks (e.g., dbt tests, Great Expectations) and streaming/event ingestion (e.g., Pub/Sub, Kafka).
  • Experience integrating graph-based data and healthcare taxonomy ontologies to enrich datasets and search query context.
  • Experience with observability and logging platforms (e.g., DataDog) for monitoring pipeline health and data freshness.

Education: Bachelor's Degree
Experience: 5+ years of professional experience with Python, with strong software-engineering fundamentals (testing, code review, design). 3+ years experience with Java or another JVM language is also high desired, particularly for Beam/Dataflow.
Supervision: N/A
Certifications: N/A
Language Skills:
Ability to read, analyze and interpret general business periodicals, professional journals, technical procedures or governmental regulations. Ability to write reports, business correspondence and procedure manuals. Ability to effectively present information and respond to questions from a variety of both internal and external sources.
Physical Capabilities: Standard categories
The physical capabilities described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand and walk. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
RevSpring is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Note: This Job Description may not describe all of the job responsibilities and standards assigned to this position. The duties may change from time to time. RevSpring does not discriminate against any group in hiring or employment practices. Nothing in this job description constitutes a contract for employment.

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