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Health Data Analyst Jobs in Utah (NOW HIRING)

Navitas Semiconductor

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Comprehensive health, dental, and vision coverage, unlimited PTO, and a competitive compensation ...

GPC - Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... Motion Industries offers an excellent benefits package which includes options for healthcare ...

Genuine Parts Company

BI Data Analyst

Ogden, UT · On-site

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... Motion Industries offers an excellent benefits package which includes options for healthcare ...

HydroJug

Director of Data Analytics

Ogden, UT · On-site

This is a senior individual-contributor / player-coach role with four direct reports: a Data Quality Analyst (filled), a Data Analyst for Operations, a Data Analyst for Finance, and a Data Analyst ...

Illumination-Works-LL

Data Engineer/Analyst

Layton, UT · On-site

$90 - $120/hr

Pandas, SQLAlchemy, pyodbc) to optimize data processing and analysis * Act as data steward by governing and accounting for inbound and outbound datafeeds, coordinating with interorganizational ...

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All JobsHealth Data Analyst JobsHealth Data Analyst Jobs in Utah

Health Data Analyst information

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$10

$33

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How much do health data analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for health data analyst in Utah is $33.98, according to ZipRecruiter salary data. Most workers in this role earn between $26.49 and $38.51 per hour, depending on experience, location, and employer.

What is a health data analyst?

Health Data Analysts are professionals who collect, process, and analyze health-related data to help organizations improve patient care, streamline operations, and meet regulatory requirements. They use statistical tools and data management techniques to interpret large sets of medical and healthcare data, identifying trends and insights. Health Data Analysts often work in hospitals, public health agencies, insurance companies, or research institutions. Their work helps healthcare providers make informed decisions, improve patient outcomes, and optimize costs.

What does a health data analyst do?

A health data analyst creates data reports that guide healthcare providers or organizations. The data comes from various systems or sources, like treatment or billing records. These statistical reports can be used to assess disease trends, over or underutilization of treatment, and cost of healthcare. Medical services and insurance providers can use this information to make decisions about future costs and coverage, while organizations such as the CDC (Centers for Disease Control and Prevention) use it to assess public health. Entry-level jobs as an analyst require a bachelor’s degree in healthcare administration, financing, or a related field.

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

To thrive as a Health Data Analyst, you need strong analytical skills, knowledge of statistics, and a degree in health informatics, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, R, and healthcare data systems such as EHRs or Epic is typically required. Attention to detail, problem-solving abilities, and effective communication skills are essential soft skills for translating complex data into actionable insights. These skills ensure accurate analysis, enable data-driven decision-making, and support improved patient outcomes in healthcare organizations.

What are some common challenges health data analysts face when working with healthcare data?

Health Data Analysts frequently encounter challenges such as dealing with incomplete or inconsistent data, ensuring patient privacy and data security, and integrating information from multiple electronic health record (EHR) systems. Navigating these hurdles requires strong data cleaning skills, a solid understanding of healthcare regulations like HIPAA, and effective communication with clinical staff to clarify data context. Overcoming these challenges is essential to producing accurate analyses that support healthcare decision-making and improve patient outcomes.

Is there a demand for health data analysts?

Health data analysts are in high demand due to the increasing focus on healthcare data management, quality improvement, and regulatory compliance. The role requires skills in data analysis tools like SQL and Excel, and employment opportunities are expected to grow faster than average in the coming years.

What is the average salary for a health data analyst?

The average salary for a health data analyst in the United States is approximately $65,000 to $75,000 per year, depending on experience, education, and location. Professionals with advanced skills in data management, statistical software, and healthcare knowledge may earn higher salaries, especially in larger organizations or urban areas.
More about Health Data Analyst jobs

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For Health Data Analyst jobs in Utah, the most frequently searched job titles are:

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Health Data Analyst jobs near you
Infographic showing various Health Data Analyst job openings in Utah as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 76% In-person, 14% Hybrid, and 10% Remote job distribution, with an average salary of $70,683 per year, or $34 per hour.

Customer Experience Data Analyst

Smartaira

Providence, UT • On-site

Full-time

Posted 3 days ago

New

Job description

Description:

 Smartaira is seeking a motivated Customer Experience Data Analyst to deliver insights that drive smarter decisions, stronger customer satisfaction, and improved operational efficiency. This role combines advanced analytics with business acumen, ensuring leaders have the information they need to act with confidence.

The analyst will conduct evaluations of customer experience processes, financial performance, and agent productivity. They will design automated dashboards and reporting tools to track KPIs and support long-term performance monitoring. In addition, the role will contribute to project success by coordinating timelines, tracking deliverables, and keeping communication clear across teams.

This is a high-visibility role with the opportunity to directly influence both customer outcomes and business results.

Key Responsibilities

Customer & Process Analytics

  • Analyze business processes to identify opportunities to improve efficiency and customer experience.
  • Assess agent productivity metrics, including manpower planning and first-call resolution rates.

Financial Analysis

  • Conduct financial modeling, including property-level performance reviews and detailed cost analysis.

Reporting & Insights

  • Build automated dashboards and custom reports to track KPIs and operational performance.
  • Translate complex data into clear, actionable insights for leadership and stakeholders.

Project Support

  • Partner with cross-functional teams and external resources to ensure timely execution of initiatives.
  • Coordinate timelines, monitor deliverables, and maintain stakeholder communication.
  • Present recommendations in a format that informs decisions at the executive level.

Why Join Smartaira?

At Smartaira, we believe data is a key driver of customer and business success. This role offers the chance to apply analytics to real-world customer experience challenges, influence decision-making at the leadership level, and grow into broader CX or analytics leadership roles.

Requirements:

   Required 

  • Bachelor’s degree in Business, Analytics, Finance, Industrial Engineering, or a related field.
  • Strong analytical and problem-solving skills with the ability to connect data to business outcomes.
  • Proficiency in Excel, SQL, or other data analysis tools.
  • Experience with data visualization and reporting.
  • Excellent communication skills, able to present insights to technical and non-technical audiences.
  • Ability to manage multiple priorities and collaborate effectively across teams.

Preferred

  • Experience in customer experience analytics, contact center operations, or process improvement.
  • Familiarity with BI platforms such as Power BI, Tableau, or Looker.
  • Exposure to platforms such as Freshdesk, Crexendo, or HEX.
  • Knowledge of project management methods and collaboration tools.