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Healthcare Data Analytics Jobs in Tennessee (NOW HIRING)

Thinkbrg

Consultant - Healthcare Analytics

Nashville, TN · On-site

$110K - $145K/yr

Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. Healthcare companies trust our independent ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Come join us and see for yourself why amazing health starts with amazing healthcare. For more ... Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or ...

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Healthcare Data Analytics information

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$49

$85

How much do healthcare data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for healthcare data analytics in Tennessee is $49.69, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $56.30 per hour, depending on experience, location, and employer.

What is a healthcare data analytics?

A Healthcare Data Analytics job involves collecting, processing, and analyzing healthcare data to improve patient outcomes, operational efficiency, and decision-making. Professionals in this role use statistical models, machine learning, and data visualization tools to identify trends and insights. They work with electronic health records (EHRs), claims data, and other medical datasets to support healthcare providers, insurers, and policymakers. This role requires knowledge of data analysis techniques, healthcare regulations (such as HIPAA), and industry-specific software.

What are the key skills and qualifications needed to thrive in healthcare data analytics?

To thrive in Healthcare Data Analytics, you need a strong background in statistics, data analysis, and healthcare systems, often supported by a degree in health informatics, data science, or a related field. Experience with tools like SQL, Python/R, Tableau, and electronic health record (EHR) systems, as well as certifications such as Certified Health Data Analyst (CHDA), is highly valuable. Problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and present insights to non-technical stakeholders. These competencies are crucial for successfully leveraging data to improve patient outcomes and drive operational efficiencies in healthcare organizations.

What are some typical challenges faced in a healthcare data analytics role?

Healthcare Data Analytics professionals often encounter challenges such as dealing with incomplete or inconsistent data, ensuring compliance with strict data privacy regulations like HIPAA, and integrating data from multiple sources. Maintaining data integrity while extracting meaningful insights requires analytical rigor and a thorough understanding of both healthcare workflows and data management best practices. Additionally, translating complex findings into actionable recommendations for clinical or administrative teams can be demanding but is key to driving improvements. Effective communication and a proactive approach to problem-solving help address these challenges and ensure impactful results.

How do I become a healthcare data analyst?

To become a healthcare data analyst, you typically need a bachelor's degree in health informatics, statistics, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with understanding healthcare data and regulations, is essential. Gaining experience through internships or certifications such as Certified Health Data Analyst (CHDA) can also improve job prospects.

Is healthcare data analytics a good career?

Healthcare data analytics is a growing field that involves analyzing health data to improve patient outcomes and operational efficiency. It typically requires skills in data management, statistical analysis, and familiarity with tools like SQL and Python, with certifications such as Certified Health Data Analyst (CHDA) enhancing job prospects. The role offers strong job growth, competitive salaries, and opportunities across healthcare providers, insurance companies, and technology firms.

What does a healthcare data analyst do in healthcare?

A healthcare data analyst collects, analyzes, and interprets healthcare data to improve patient outcomes, optimize operations, and support decision-making. They use tools like Excel, SQL, and data visualization software to identify trends and generate reports for healthcare providers and administrators.

What are the most commonly searched types of Healthcare Data Analytics jobs in Tennessee?

The most popular types of Healthcare Data Analytics jobs in Tennessee are:

What are popular job titles related to Healthcare Data Analytics jobs in Tennessee?

For Healthcare Data Analytics jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Healthcare Data Analytics jobs in Tennessee look for?

The top searched job categories for Healthcare Data Analytics jobs in Tennessee are:

What cities in Tennessee are hiring for Healthcare Data Analytics jobs?

Cities in Tennessee with the most Healthcare Data Analytics job openings:

Healthcare Data Analytics jobs near you
Infographic showing various Healthcare Data Analytics job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,353 per year, or $49.7 per hour.

Healthcare Data Architect: Automate & Govern Analytics

1000 Methodist Le Bonheur Corp

Memphis, TN • On-site

$57 - $73.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Methodist Le Bonheur is seeking a Data Architect to design, build, and govern data frameworks for productivity, labor, and volume analytics across Epic, Workday, UKG, and Strata. You will partner with Finance, Decision Support, HR/Payroll, and leadership to automate reporting and reduce manual workloads. The role emphasizes governance, data quality, and scalable data models, with collaboration across finance, IT, and clinical operations to deliver accurate, service-line level insights. #J-18808-Ljbffr

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