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Data Analyst Mid Level Jobs in Tennessee (NOW HIRING)

LHH US

Data Analyst

Nashville, TN

$60K/yr

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 ...

LHH US

Data Analyst

Nashville, TN

$60K/yr

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 ...

Collabera

Data Analyst

Knoxville, TN

... mid-size companies to meet their talent needs with high quality IT resources through Staff ... Analytical ability with experience problem solving in HR information systems and data. Intermediate ...

NASBA

Senior Data Analyst

Nashville, TN · Hybrid

$83K - $104K/yr

Analyze data to identify trends, risks, opportunities, root causes, and performance drivers, and present findings through concise narratives, visualizations, and executive-level summaries. Own the ...

BNH

Sr Cost Analyst, Mid Career

Arnold Air Force Base, TN · On-site

$75K - $125K/yr

Analyze financial data to provide accurate and timely cost reports to management * Prepare and ... present cost analysis reports for management highlighting trends and variances. * Develop and ...

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All JobsData Analyst Mid Level JobsData Analyst Mid Level Jobs in Tennessee

Data Analyst Mid Level information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do data analyst mid level jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data analyst mid level 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.

Is 40 too late for data science?

For a mid-level data analyst, starting a career in data science at age 40 is feasible, especially if you have relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully transition into data roles later in life by gaining certifications, building portfolios, and leveraging prior experience. Age is less a barrier than skills, continuous learning, and practical experience in the field.

What is a mid-level analyst?

A mid-level data analyst is a professional with several years of experience who analyzes data to identify trends, create reports, and support decision-making. They typically have proficiency in tools like Excel, SQL, and data visualization software, and may work under the supervision of senior analysts or managers.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and communicating findings. The role of a mid-level data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are less likely to be fully replaced by AI in the near term.

What jobs make $1,000,000 a year?

In the field of data analysis, earning $1,000,000 annually is uncommon and typically requires senior roles such as Chief Data Officer or data-focused executive positions, often combined with bonuses, stock options, or profit sharing. High earnings in this field usually involve extensive experience, advanced skills in analytics tools, and leadership responsibilities within large organizations or consulting firms.

What is the difference between Data Analyst Mid Level vs Data Scientist?

AspectData Analyst Mid LevelData Scientist
Required CredentialsBachelor's degree in data-related field; some certifications (e.g., Microsoft, Tableau)Bachelor's or master's in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness, finance, marketing teams; focus on reporting and data visualizationResearch and development teams; focus on predictive modeling and complex algorithms
Employer & Industry UsageCommon across industries for data reporting rolesMore specialized, often in tech, finance, or healthcare sectors

While both roles involve working with data, Data Analyst Mid Level primarily focuses on analyzing and visualizing data to support business decisions. Data Scientists handle more complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and education.

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 are popular job titles related to Data Analyst Mid Level jobs in Tennessee? For Data Analyst Mid Level jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Analyst Mid Level jobs in Tennessee look for? The top searched job categories for Data Analyst Mid Level jobs in Tennessee are:
What cities in Tennessee are hiring for Data Analyst Mid Level jobs? Cities in Tennessee with the most Data Analyst Mid Level job openings:
Data Analyst Mid Level jobs near you

Data Analyst

LHH US

Nashville, TN

$60K/yr

Full-time

Medical, Retirement, PTO

Posted 8 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.