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Data Analyst Jobs in Tennessee (NOW HIRING)

Monitor and analyze real-time data feeds and operational metrics where applicable. * Develop and optimize SQL queries, data models, and reporting processes. * Partner with business leaders to define ...

Monitor and analyze real-time data feeds and operational metrics where applicable. * Develop and optimize SQL queries, data models, and reporting processes. * Partner with business leaders to define ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Data Analyst Location: Franklin, TN; Brentwood, TN; Nashville, TN Employment Type: Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting top-tier ...

Data Analyst Location: UT Federal Credit Union Corporate Headquarter (Onsite) At UT Federal Credit Union, we believe great decisions start with great data. We're seeking a Data Analytics & Business ...

Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy * Build and maintain dashboards, reports, and analytics solutions that help teams track ...

Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy * Build and maintain dashboards, reports, and analytics solutions that help teams track ...

The Data Analyst will work as a member of Stifel's Analyst team within the Digital Solutions group. The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

Data Analyst Location: UT Federal Credit Union Corporate Headquarter (Onsite) At UT Federal Credit Union, we believe great decisions start with great data. We're seeking a Data Analytics & Business ...

Data Analyst I Location: Lebanon, TN If you're looking for a career where purpose meets opportunity, and where your contributions truly make a difference, Wilson Bank & Trust is the place for you.

Data Analyst Location: UT Federal Credit Union Corporate Headquarter (Onsite) At UT Federal Credit Union, we believe great decisions start with great data. We're seeking a Data Analytics & Business ...

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests originating from various areas of the business as well as support discovery or solutions for firm data ...

Excellent skills in logical and physical data modeling and normalization of data. knowledge with Informatica data analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL.

Analytical ability with experience problem solving in HR information systems and data. Intermediate experience with Microsoft Office with emphasis on Excel. Additional Information If you are ...

Data Analyst II Location: Lebanon, TN If you're looking for a career where purpose meets opportunity, and where your contributions truly make a difference, Wilson Bank & Trust is the place for you.

Reporting to the Senior Manager of Data Analytics, this mid-level role combines hands-on reporting and dashboard work with deeper marketing analytics responsibilities -- including experimentation ...

Sr. Data Analyst

Memphis, TN

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based management to drive decision making. * Mentors less senior staff. * Works in cross functional projects and ...

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Showing results 1-20

Data Analyst information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analyst in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Tennessee? The most popular types of Data Analyst jobs in Tennessee are:
What cities in Tennessee are hiring for Data Analyst jobs? Cities in Tennessee with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Tennessee as of July 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 69% In-person, 10% Hybrid, and 21% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

Data Analyst

LHH US

Nashville, TN

$60K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Job description

Location: Nashville, TN
Employment Type: Full-Time, Direct Hire
Come work with the best, partner with LHH in your job search!
LHH Recruitment Solutions is partnering with organizations across healthcare, finance, technology, manufacturing, and professional services seeking experienced Data Analysts who can transform complex data into actionable business insights.
This role is ideal for someone who enjoys working with large-scale datasets, building dashboards and reports, identifying trends, and helping stakeholders make data-driven decisions. We are open to professionals with experience across multiple analytics disciplines, including descriptive, diagnostic, predictive, prescriptive, and real-time analytics.
Key Responsibilities
  • Design, develop, and maintain dashboards, scorecards, reports, and visualizations for business stakeholders.
  • Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers.
  • Gather and translate business requirements into meaningful reporting and analytics solutions.
  • Perform descriptive and diagnostic analysis to understand historical performance and root causes.
  • Support predictive and prescriptive analytics initiatives by leveraging statistical models and data-driven recommendations.
  • Monitor and analyze real-time data feeds and operational metrics where applicable.
  • Develop and optimize SQL queries, data models, and reporting processes.
  • Partner with business leaders to define KPIs, metrics, and reporting standards.
  • Validate data quality and ensure accuracy across reporting environments.
  • Collaborate with data engineering teams to support data warehouse, ETL, and data integration efforts.
  • Present findings, insights, and recommendations to technical and non-technical audiences.
Required Qualifications
  • Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business Analytics, Statistics, Mathematics, or a related field.
  • 3+ years of experience in data analytics, business intelligence, reporting, or related disciplines.
  • Experience building dashboards and reports for business stakeholders.
  • Advanced SQL skills and experience querying large datasets.
  • Experience with BI and visualization tools such as:
    • Power BI
    • Tableau
    • Looker
    • Similar reporting platforms
  • Experience working with enterprise-scale databases, data warehouses, or large data management environments.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Python, R, or other analytical programming languages.
  • Exposure to predictive analytics, machine learning, or statistical modeling.
  • Experience with cloud-based data platforms such as:
    • Snowflake
    • Databricks
    • Azure Data Factory
    • AWS Data Services
  • Knowledge of ETL processes, data modeling, and data warehousing concepts.
  • Experience supporting healthcare, finance, manufacturing, retail, or technology organizations.
Technical Environment
Experience with any combination of:
  • SQL
  • Power BI
  • Tableau
  • Python
  • Snowflake
  • Databricks
  • Azure Data Factory
  • ETL Tools
  • Data Warehousing
  • Data Modeling
  • Excel
  • Azure
  • AWS
Average Pay for Data Analyst near Nashville, TN:
Actual salary is based on experience, skills, education and individual opportunity.
Entry-Level (0-2 years): $60,000 - $75,000
Mid-Level (3-6 years): $75,000 - $105,000
Senior Data Analyst (7+ years): $100,000 - $125,000+
LHH Recruitment Solutions partners with organizations throughout Tennessee and the greater Nashville market to identify and connect top talent with career opportunities. By applying to this position, you consent to having your qualifications reviewed by our recruiting team for this opening and other relevant opportunities that may align with your background. Submission of an application does not guarantee employment, an interview, or placement.
LHH Recruitment Solutions is committed to equal employment opportunity and considers all qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law.
LHH is dedicated to providing reasonable accommodations to qualified individuals with disabilities throughout the application, interview, and hiring process. Applicants requiring accommodation should notify their recruiter or the appropriate LHH representative.
Pay Transparency Statement:
The anticipated salary range for this position is $60,000-125,000 annually. Actual compensation will be determined based on factors including experience, skills, education, certifications, internal equity, and market conditions. Eligible employees may also have access to benefits, incentive programs, bonus opportunities, and other forms of compensation, as applicable. Additional details regarding compensation and benefits will be discussed during the hiring process.
LHH Recruitment Solutions is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive workplace where all employees can thrive.
This posting is intended to build LHH Recruitment Solutions' network of Data & Analytics professionals. Submission of a resume or application does not guarantee employment, an interview, or placement. Qualified candidates may be contacted regarding current or future opportunities that align with their experience. LHH is an Equal Opportunity Employer.
Benefit offerings vary by client, position, and employment type. Eligible candidates may have access to health insurance, retirement plans, paid time off, bonus opportunities, and other employer-sponsored benefits. Details will be provided for specific opportunities.
Pay Details: $60,000.00 to $125,000.00 per year
Search managed by: Jessica Weathers
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.