1

Statistical Analyst Jobs in Tennessee (NOW HIRING)

Showing results 21-40

Statistical Analyst information

See Tennessee salary details

$27.2K

$63.9K

$106.6K

How much do statistical analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for statistical analyst in Tennessee is $63,942.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,100.00 and $73,500.00 per year, depending on experience, location, and employer.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

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

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.

What are the most commonly searched types of Statistical Analyst jobs in Tennessee?

The most popular types of Statistical Analyst jobs in Tennessee are:

What are popular job titles related to Statistical Analyst jobs in Tennessee?

For Statistical Analyst jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Statistical Analyst jobs in Tennessee look for?

The top searched job categories for Statistical Analyst jobs in Tennessee are:

What cities in Tennessee are hiring for Statistical Analyst jobs?

Cities in Tennessee with the most Statistical Analyst job openings:

What are popular job titles related to Statistical Analyst jobs in TN?

For Statistical Analyst jobs in TN, the most frequently searched job titles are:

Infographic showing various Statistical Analyst job openings in Tennessee as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, 5% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $63,942 per year, or $30.7 per hour.

Data Insights Analyst (8a-5p) Pharmacy Corporate - Johnson City, TN

Ballad Health

Johnson City, TN • On-site

Full-time

Posted 11 days ago


Key responsibilities

  • Work with leaders and subject-matter experts to clarify business questions and develop reports, dashboards, scorecards, datasets, and analyses that support decision-making.

  • Extract, prepare, validate, analyze, and interpret data from clinical, operational, financial, and administrative sources using various tools and technologies.

  • Define, document, and validate key performance indicators, business rules, data definitions, and reporting methodologies.


Ballad Health rating

6.5

Company rating: 6.5 out of 10

Based on 230 frontline employees who took The Breakroom Quiz

614th of 898 rated healthcare providers


Job description

Job Description:
Summary:
The Data & Insights Analyst II serves as an analytic partner to an assigned department, service line, or operational area. The position works with leaders, subject-matter experts, and technical teams to translate business, clinical, financial, quality, and operational questions into reliable measures, analyses, reports, dashboards, and other decision support solutions. Experienced Epic users desired.
The Analyst supports the full analytics lifecycle, including requirements gathering, data preparation, data quality assessment, metric definition, validation, analysis, visualization, interpretation, documentation, and ongoing maintenance. The position is expected to develop a strong understanding of the assigned business area and to help stakeholders use data more effectively to improve performance, outcomes, efficiency, and decision-making. Data & Insights Analysts may be embedded within a department or service line while receiving professional support, technical guidance, training, and access to specialized resources through the Analytics Center of Excellence.
The Analyst works within an established request intake and prioritization process and collaborates with analytics engineers, data engineers, data scientists, information technology teams, application teams, and other partners when broader technical or advanced analytic support is required.
The Data & Insights Analyst II works with a high degree of independence, manages moderately complex analytic assignments, and may serve as the primary analytics contact for an assigned business area. The position may also provide guidance and informal mentorship to less-experienced analysts.
TECHNICAL SKILLS
• Working knowledge of data analysis, data preparation, data validation, and data visualization principles.
• Proficiency using SQL or another query language to retrieve, join, filter, summarize, and validate structured data.
• Experience with at least one business intelligence or visualization tool, such as Microsoft Power BI, Tableau, or a comparable platform.
• Experience with Python, R, SAS, SPSS, or another programming or statistical analysis tool is preferred.
• Strong spreadsheet skills, including the ability to organize, reconcile, analyze, and present data accurately.
• Understanding of relational data concepts, including tables, fields, keys, joins, grain, and data dependencies.
• Knowledge of basic statistical concepts, including rates, distributions, variation, comparisons, trends, confidence, and appropriate interpretation of findings.
• Ability to identify and investigate data-quality issues, inconsistencies, unexpected results, and potential sources of bias or error.
• Ability to translate business or clinical questions into clear analytic requirements, measures, and deliverables.
• Ability to distinguish between a reporting request and a broader business problem requiring clarification, redesign, or additional analysis.
• Ability to manage moderately complex projects and multiple competing priorities with limited supervision.
• Ability to communicate technical information clearly to audiences with varying levels of analytic expertise.
• Ability to develop concise written summaries, visualizations, presentations, and recommendations.
• Strong critical-thinking, problem-solving, organizational, and documentation skills.
• Strong attention to detail while maintaining awareness of broader business objectives and intended outcomes.
• Ability to build effective working relationships with leaders, clinicians, operational staff, analysts, engineers, application teams, and other technical and nontechnical partners.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Serve as an analytic partner to assigned departments, service lines, and organizational stakeholders. Work with leaders and subject-matter experts to clarify business questions, define requirements, and develop reports, dashboards, scorecards, datasets, and analyses that support decision-making.
Extract, prepare, validate, analyze, and interpret data from clinical, operational, financial, and administrative sources using SQL, spreadsheets, business intelligence tools, Python, R, statistical software, or similar technologies.
Define, document, and validate key performance indicators, business rules, data definitions, and reporting methodologies. Promote consistent, enterprise-aligned measures and serve as a data steward by supporting data quality, completeness, consistency, lineage, accessibility, and appropriate use.
Investigate data discrepancies and collaborate with business owners, analytics teams, information technology, application teams, and engineering resources to identify root causes and implement sustainable solutions.
Conduct descriptive, diagnostic, comparative, and exploratory analyses to identify trends, variation, risks, and improvement opportunities. Communicate findings through clear visualizations, written summaries, presentations, and practical recommendations for clinical, operational, technical, and executive audiences.
Manage assigned requests and projects through established intake, prioritization, development, testing, deployment, and documentation processes. Coordinate with analytics engineers, data engineers, database administrators, data scientists, and other specialists when more advanced technical or analytic support is required.
Support responsible use of artificial intelligence by helping define business context, validate source information, develop effective instructions or prompts, assess output quality, and identify appropriate performance measures.
Participate in departmental or service-line analytics pods, workgroups, governance activities, and performance reviews. Develop subject-matter expertise in the assigned business area and provide peer support, knowledge sharing, and informal mentorship to less-experienced analysts.
Follow Ballad Health standards for privacy, security, data governance, regulatory compliance, change management, documentation, and ethical use of data and artificial intelligence. Perform other duties as assigned.
EXPERIENCE
Required: Three years of relevant professional experience in analytics, reporting, data management, business intelligence, research, information systems, healthcare operations, finance, quality improvement, or a related field.
Experience must include responsibility for working with data to answer business or operational questions and communicating findings to stakeholders. Preferred: Experience working in healthcare, pharmacy, finance, clinical
operations, quality, population health, supply chain, or another regulated or data-intensive environment; experience serving as an analytic partner to a department, service line, or operational team; experience developing dashboards, automated reports, reusable datasets, scorecards, or other analytic products; experience defining, documenting, or validating performance measures and business rules; experience working with electronic health record, claims, financial, operational, or enterprise data.
Requirements:
Bachelor's degree in data analytics, statistics, mathematics, computer science, information systems, health informatics, public health, economics, finance, engineering, business analytics, or another quantitative or related field., A relevant master's degree may substitute for up to two years of the required professional experience.
Experience with EPIC is required.
Work Requirements:
Shift: Day
On Call: No
Weekends: No
Travel Required: No Travel
Shift Details: 8a-5p
City/State: Johnson City, TN
Location:
Ballad Health Corporate

What Ballad Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Ballad Health logo

About Ballad Health

Sourced by ZipRecruiter

Become a part of the Ballad Health story. Together, we are transforming our region. We're making communities healthier. We're expanding access to critical services in rural areas.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Johnson City, TN, US