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Entry Level Health Data Analyst Jobs in Arizona (NOW HIRING)

Navajo County, AZ

Public Health Data Analyst

Holbrook, AZ · On-site

$67.61K - $84.44K/yr

Health District Opening Date: 04/06/2026 Closing Date: Continuous Summary Under general supervision, manages data collection, analysis, reporting, and performance monitoring associated with grant ...

Navajo County

Public Health Data Analyst

Holbrook, AZ · On-site

$67.61K - $84.44K/yr

The Data Analyst plays a central role in advancing data-driven decision-making to improve service delivery and ensure the long-term sustainability of rural public health programs, including chronic ...

SynergisticIT

Data Analyst

Phoenix, AZ · On-site

Data Analyst SynergisticIT is aware that the job market is challenging because of tech layoffs. The ... For entry-level job seekers to get client interviews and jobs they need to differentiate themselves ...

Datavant

Risk Adjustment Data Analyst

Phoenix, AZ · Remote

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make ... This position is ideal for someone who has the right mix of data analysis, curiosity, and ...

Quantix

Data Analyst

Phoenix, AZ

Quantix HealthTech serves the specific needs of the healthcare industry and is recognized as one of ... Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an ...

Quantix

Data Analyst

Phoenix, AZ

Data Analyst Location: Phoenix, AZ Type: Direct Hire Company located in Phoenix, AZ has an ... healthcare clinical codes sets such as LOINC, CPT, ICD, RxNorm, etc. Desired: 1) Formal ...

Atria Group LLC

Data Analyst

Phoenix, AZ

Data Analysis, * data warehousing, * SSRS, * Business Objects ... T-SQL, * Testing and Healthcare experience. Additional Information GOOD COMMUNICATION SKILLS ...

SynergisticIT

Junior Data Analyst

Phoenix, AZ · On-site

Junior Data Analyst SynergisticIT is aware that the job market is challenging because of tech ... For entry-level job seekers to get client interviews and jobs they need to differentiate themselves ...

Arsenault

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... An additional requirement for this role is the ability to comply with COVID-19 health and safety ...

Intelliswift Software

Data Analyst 4

Tempe, AZ · On-site

Job ID: 21-11545 Client is seeking a Data Analyst to coordinate changes to computer databases, test ... and Health Check. • Identified DQ gaps for various (in few 100s) existing "DQ Health Check ...

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Entry Level Health Data Analyst information

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How much do entry level health data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for entry level health data analyst in Arizona is $30.68, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $34.28 per hour, depending on experience, location, and employer.

What Does an Entry Level Health Data Analyst Do?

As an entry-level health data analyst, your responsibilities are to gather medical records, billing records, and other health data and analyze them for a hospital or healthcare company. Your goal as a health data analyst is to identify trends in the data and suggest ways to improve treatment while lowering the cost of service provision within the healthcare company or medical care facility. Your specific duties include pulling medical records, researching medical databases, analyzing electronic health records, and developing reports from your analysis. Since this is an entry-level position, you may assist a more experienced analyst until you gain the necessary skills.

What are the key skills and qualifications needed to thrive as an Entry Level Health Data Analyst, and why are they important?

To thrive as an Entry Level Health Data Analyst, you need a solid grasp of statistics, data analysis, and healthcare terminology, typically supported by a bachelor's degree in health informatics, statistics, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SAS or R, as well as experience with electronic health records (EHR) systems, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and present data insights clearly to diverse stakeholders. These competencies are crucial for transforming raw health data into actionable information that supports evidence-based decisions in healthcare organizations.

What are some typical challenges faced by entry-level health data analysts and how can they overcome them?

Entry-level health data analysts often encounter challenges such as working with incomplete or inconsistent healthcare data, learning complex data management systems, and adapting to strict privacy regulations like HIPAA. To overcome these, new analysts should focus on developing strong data cleaning skills, seek mentorship from experienced colleagues, and stay updated with industry best practices. Effective communication with healthcare professionals and IT teams is also crucial for clarifying data requirements and ensuring accurate analysis.

Can I get a data analyst job with no experience?

Entry level health data analyst positions often require some familiarity with data analysis tools like Excel, SQL, or statistical software, but many employers are willing to consider candidates with limited experience if they demonstrate strong analytical skills and relevant education or certifications. Gaining experience through internships, online courses, or certifications can improve your chances of securing such roles. Entry level roles typically focus on training and skill development for new analysts.

What is the difference between Entry Level Health Data Analyst vs Health Data Specialist?

AspectEntry Level Health Data AnalystHealth Data Specialist
Required CredentialsBachelor's in health informatics, data science, or related field; basic knowledge of data analysis toolsBachelor's or associate degree; familiarity with health data systems and compliance standards
Work EnvironmentHealthcare organizations, clinics, or health IT companies; entry-level roles with supervisionHospitals, clinics, or health agencies; often involves managing health data systems
Employer & Industry UsageCommonly used in healthcare analytics teams, research, and reportingUsed in health information management, data entry, and system maintenance

In summary, Entry Level Health Data Analysts focus on analyzing healthcare data to support decision-making, while Health Data Specialists often handle data management and system operations. Both roles require familiarity with health data standards but differ in their primary responsibilities and skill sets.

More about Entry Level Health Data Analyst jobs
What are the most commonly searched types of Health Data Analyst jobs in Arizona? The most popular types of Health Data Analyst jobs in Arizona are:
What are popular job titles related to Entry Level Health Data Analyst jobs in Arizona? For Entry Level Health Data Analyst jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Entry Level Health Data Analyst jobs in Arizona look for? The top searched job categories for Entry Level Health Data Analyst jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Health Data Analyst jobs? Cities in Arizona with the most Entry Level Health Data Analyst job openings:
Entry Level Health Data Analyst jobs near you
Infographic showing various Entry Level Health Data Analyst job openings in Arizona as of May 2026, with employment types broken down into 3% As Needed, 68% Full Time, 21% Part Time, and 8% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $63,822 per year, or $30.7 per hour.

Public Health Data Analyst

Navajo County, AZ

Holbrook, AZ • On-site

$67.61K - $84.44K/yr

Full-time

Posted 22 days ago

Job description

Salary : $67,614.81 - $84,441.63 Annually
Location : Show Low, AZ
Job Type: Full Time
Job Number: 2026-00193
Department: Health District
Opening Date: 04/06/2026
Closing Date: Continuous
Summary
Under general supervision, manages data collection, analysis, reporting, and performance monitoring associated with grant-funded rural health transformation initiatives. This role supports evaluation of program outcomes, billing readiness, quality improvement, and compliance with reporting requirements.
The Data Analyst plays a central role in advancing data-driven decision-making to improve service delivery and ensure the long-term sustainability of rural public health programs, including chronic disease prevention, Community Health Worker (CHW) service models, and maternal and child health initiatives.
Position works collaboratively across Clinical Services and Outreach & Education divisions in a non-supervisory capacity, translating complex data into actionable insights, dashboards, and reports that effectively communicate program impact, inform strategy, and support reimbursement pathways. Requires regular communication and interaction with cross-divisional teams, department leadership, and external partners. Position expectations include commitment to advancing cordial and collaborative workplace culture and improving health outcomes in rural communities.
Opportunity may exist for hybrid work flexibility with some in-person collaboration required.
Position is non-exempt, and is funded through Rural Healthcare Transformation Funds, and is contingent upon the availability and continuation of those funds. Employment is subject to grant-specific requirements and timelines.
Essential Job Functions
(Essential function, as defined under the Americans with Disabilities Act, may include the following tasks, knowledge, skills and other characteristics. This list of tasks is ILLUSTRATIVE ONLY, and is not a comprehensive listing of all functions and tasks performed by positions in this class.)
Data Management & Analysis
  • Design, implement, and maintain systems for data collection, validation, and management across multiple program areas.
  • Identify, integrate, and analyze data sets related to clinical services, community-based interventions, and CHW activities.
  • Apply epidemiologic methods to assess trends, outcomes, and population health impacts.
  • Ensure data integrity, quality, and consistency across reporting systems.
  • Effectively demonstrate ability to manage data in a manner that provides measurable impacts to funders and stakeholders.
Reporting & Visualization
  • Develop clear, concise reports, dashboards, and data visualizations for internal leadership, funders, and stakeholders.
  • Translate complex data into meaningful narratives that "tell the story" of program impact, gaps, and opportunities.
  • Support grant reporting requirements, including performance metrics and outcome evaluation.
Performance Monitoring & Evaluation
  • Establish and monitor key performance indicators (KPIs) aligned with grant goals and public health priorities.
  • Contribute to return-on-investment (ROI) and sustainability analyses.
  • Support evaluation of:
    1. Chronic disease prevention and management outcomes
    2. CHW service delivery and billing readiness
    3. Maternal and child health initiatives, including congenital syphilis prevention
Quality Improvement & Compliance
  • Support continuous quality improvement (CQI) efforts through data tracking and analysis.
  • Ensure compliance with federal, state, and grant-specific reporting requirements.
  • Assist in developing standardized data workflows aligned with billing and reimbursement systems.
Collaboration & Integration
  • Work closely with the Epidemiologist to ensure appropriate application of epidemiologic principles and methods.
  • Collaborate with Clinical Services and Outreach & Education teams to align data systems with program operations.
  • Support integration of data across divisions to reflect the full continuum from community engagement to clinical care.
Strategic Support
  • Inform leadership decision-making through timely and actionable data insights.
  • Contribute to development of sustainable, data-informed public health service models.
  • Support innovation in data tools, including use of technology and AI-supported resources where appropriate.

Knowledge and Skills
  • Knowledge and deep understanding of data principles and best practices
  • Strong analytical and problem-solving skills with ability to interpret complex data
  • Proficiency in data collection and analysis tools (e.g. Excel, Qualtrics, SQL, R, Python, or similar)
  • Experience with data visualization platforms (Tableau, MySidewalk, etc.)
  • Ability to communicate technical information clearly to non-technical audiences
  • Knowledge of data privacy, security, and compliance standards
  • Strong organization skills and attention to detail
  • Ability to work independently and collaboratively in a multidisciplinary team environment
  • Foundational knowledge of epidemiology and public health principles

Desirable Qualifications
Minimum requirement of a Bachelor's degree in Public Health, Health Science, Biostatistics, Data Science, or a related field, (Master's in Public Health, Health Science, Epidemiology, or Biostatistics preferred), with a minimum of 2 years experience in public health data analysis, program evaluation, or health data management. Must possess a valid Arizona driver's license.
Employee Benefits
Navajo County offers a comprehensive employee benefits package to regular employees working 40
hours per week that includes:
(Regular Part Time employees working 30 - 39 hours a week receive some benefits on a pro-rated basis.
Part Time employees working less than 30 hours a week and temporary employees do not receive benefits)
01
Please list the data analysis and visualization tools you have used (e.g., Excel, SQL, R, Python, Tableau, etc.), your level of proficiency in each, and briefly describe how you have applied them in your work.
02
Have you worked with public health or healthcare data systems (e.g., EMRs, surveillance systems, billing data)? If so, which ones?
03
Have you used any AI-assisted or automated data tools in your workflow? If yes, please describe how.
Required Question

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