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Data Analyst Jobs in Tennessee (NOW HIRING)

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 ...

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 ...

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 ...

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 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 ...

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 ...

They are seeking a Data Analyst to join their Infrastructure team, responsible for analyzing power and cooling performance data and delivering insights to optimize physical infrastructure for AI ...

Job Title Demand Generation Data Analyst We're seeking a marketing analytics professional who partners cross-functionally to deliver advanced, AI-driven insights across campaigns and the funnel. You ...

Job TitleDemand Generation Data Analyst We're seeking a marketing analytics professional who partners crossfunctionally to deliver advanced, AIdriven insights across campaigns and the funnel. You'll ...

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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 20, 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 1% Locum Tenens, 1% Internship, 84% Full Time, 6% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.
Data Analyst

Data Analyst

FOCUSPOINT

Nashville, TN • On-site

$40 - $57/hr

Contractor

Medical, Dental, Vision, Life

Posted 2 days ago


Job description

Job Title: Data Analyst
Location: Franklin, TN; Brentwood, TN; Nashville, TN 
Employment Type: Contract
Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.


Job Overview:
FOCUSPOINT is seeking experienced Data Analysts for our clients.

You'll play a vital role in transforming real-time data into actionable insights. These positions are ideal for professionals who thrive in a fast-paced environment and enjoy partnering across departments to solve complex problems. You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends, identify anomalies, and deliver insights that drive smarter business decisions. If you're highly analytical, proactive, and comfortable translating data into strategy, we’d love to hear from you.

Key Responsibilities:

  • Partner with multiple business units to understand data-related needs and deliver timely, high-value analytical support.
  • Monitor system performance and live data streams to uncover trends, outliers, and patterns using statistical methods and visualization tools.
  • Detect anomalies and flag potential operational risks based on historical benchmarks and real-time signals.
  • Respond to system alerts and support incident triage, escalation, and resolution in coordination with engineering and operations teams.
  • Design and maintain dashboards, reports, and visualizations to communicate findings clearly across technical and non-technical audiences.
  • Create concise reports, dashboards and visualizatdions to communicate findings to non-technical stakeholders.
  • Collaborate with data engineers and platform teams to improve data accessibility, accuracy, and reliability.
  • Help define and operationalize alerts, thresholds, and KPIs used for proactive decision-making.
  • Identify workflow bottlenecks and recommend automation or process enhancements to boost efficiency.
  • Maintain accurate documentation, including incident logs, SOPs, and analytics playbooks for operational continuity and audit readiness.

Qualifications:

  • Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • Advanced Education (Preferred): Master’s degree or certifications in data analytics or business intelligence tools.
  • Analytical Skills: Strong analytical and problem-solving capabilities.
  • Technical Skills: Proficient in SQL and data manipulation tools such as Excel, Python, or R.
  • BI Tools Experience: Skilled in using Power BI, Tableau, Looker, or similar platforms.
  • Data Methods: Familiarity with anomaly detection and trend analysis techniques.
  • Communication: Able to develop and deliver presentations and engage positively across all levels of the organization.
  • Organizational Abilities: Capable of prioritizing multiple tasks in a fast-paced, centralized environment.
  • Experience: 2 to 4 years in a data analyst or business intelligence role.
  • Cross-Functional Collaboration: Experience working with teams across business functions.
  • Domain Knowledge (Preferred): Background in operational analytics, command center environments, or real-time monitoring scenarios.

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Vision insurance