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Data Reporting Analyst Jobs in Tennessee (NOW HIRING)

Pick Your Part

Data Reporting Analyst

Brentwood, TN · On-site

Collect, analyze, and report management data to support decisions on day-to-day operations, planning, and specific business performance issues. * Responsible for performing general analytics and ...

Pick Your Part

Data Reporting Analyst

Brentwood, TN · Hybrid

Collect, analyze, and report management data to support decisions on day-to-day operations, planning, and specific business performance issues. * Responsible for performing general analytics and ...

Specialtycare

Senior Data & Reporting Analyst

Brentwood, TN · On-site

$81K - $102K/yr

Identify, analyze, interpret, and communicate trends or patterns in complex data set(s). * Audit and clean data by reviewing computer reports, printouts, and performance indicators to locate and ...

Ardent Health

Financial Reporting Analyst

Brentwood, TN · On-site

The Financial Reporting Analyst is a role designed to collaborate across accounting, decision ... Collaborates with internal decision support teams to create analytical data packages supporting RFP ...

Ardent Health

Financial Reporting Analyst

Brentwood, TN · On-site

The Financial Reporting Analyst is a role designed to collaborate across accounting, decision ... Collaborates with internal decision support teams to create analytical data packages supporting RFP ...

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Data Reporting Analyst information

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$13

$35

$55

How much do data reporting analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data reporting analyst in Tennessee is $35.79, according to ZipRecruiter salary data. Most workers in this role earn between $27.07 and $44.28 per hour, depending on experience, location, and employer.

What is the difference between Data Reporting Analyst vs Data Analyst?

AspectData Reporting AnalystData Analyst
Required SkillsData visualization, reporting tools, SQLData analysis, statistical skills, SQL
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
Common CertificationsMicrosoft Power BI, Tableau certificationsGoogle Data Analytics, SAS certifications

While both roles involve working with data, Data Reporting Analysts primarily focus on creating reports and dashboards to communicate insights, whereas Data Analysts perform deeper data analysis, interpret trends, and provide strategic recommendations. The roles often overlap, but the Reporting Analyst emphasizes visualization and reporting tools, making them essential for presenting data to stakeholders efficiently.

What are the key skills and qualifications needed to thrive as a data reporting analyst?

To thrive as a Data Reporting Analyst, you typically need strong analytical abilities, proficiency in data visualization, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Microsoft Excel, Tableau, or Power BI, as well as experience with database management systems, is highly valued. Attention to detail, effective communication, and problem-solving skills are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable Data Reporting Analysts to provide accurate, actionable reports that inform business decisions and drive organizational success.

How does a data reporting analyst typically collaborate with other departments within an organization?

Data Reporting Analysts frequently work cross-functionally, partnering with teams such as finance, marketing, operations, and IT to gather requirements, understand business objectives, and ensure the accuracy of reports. They often act as a bridge between technical data systems and non-technical stakeholders, translating complex data findings into actionable insights. Regular meetings, project updates, and collaborative data validation are common, making strong communication skills essential for success in this role.

What does a data reporting analyst do?

A Data Reporting Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed decisions. They develop and maintain reports, dashboards, and visualizations to present findings to stakeholders clearly and effectively. Their work often involves using tools like Excel, SQL, and business intelligence platforms to extract insights and identify trends. In addition to technical skills, Data Reporting Analysts need strong communication abilities to explain complex data in understandable terms.
What are the most commonly searched types of Data Reporting Analyst jobs in Tennessee? The most popular types of Data Reporting Analyst jobs in Tennessee are:
What are popular job titles related to Data Reporting Analyst jobs in Tennessee? For Data Reporting Analyst jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Reporting Analyst jobs in Tennessee look for? The top searched job categories for Data Reporting Analyst jobs in Tennessee are:
What cities in Tennessee are hiring for Data Reporting Analyst jobs? Cities in Tennessee with the most Data Reporting Analyst job openings:
What are popular job titles related to Data Reporting Analyst jobs in TN? For Data Reporting Analyst jobs in TN, the most frequently searched job titles are:
Data Reporting Analyst jobs near you
Infographic showing various Data Reporting Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,441 per year, or $35.8 per hour.

Data Reporting Analyst

Pick Your Part

Brentwood, TN • On-site

Full-time

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

Job description

Description:

The Data Analyst is responsible for providing data analysis and business intelligence solutions that enable business unit leaders to make informed decisions and drive operational growth. This role partners closely with Finance, Operations, and executive leadership to analyze complex datasets, develop dashboards and reports, identify trends, forecast business performance, and recommend process improvements that support strategic initiatives.

Location: Brentwood, TN (Hybrid)


Work Schedule: This position follows a hybrid schedule with in-office work Tuesday, Wednesday, and Thursday at our Brentwood, TN corporate office and remote work Monday and Friday.



Essential Job Duties

  • Collect, analyze, and report management data to support decisions on day-to-day operations, planning, and specific business performance issues.
  • Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business.
  • Interpret data, analyze results, and provide insight to determine operational impact, trends, and opportunities. Create and produce forecasts, reports, ad hoc requests, dashboards, etc.
  • Examine and identify data patterns and trends to help answer business questions and improve decision-making.
  • Activity includes defining data requirements, data collection, processing, cleaning, analysis, modeling, and visualization.
  • Identify areas to increase efficiency and automation of data analysis processes.
  • Identify and define both process and data improvements.
  • May monitor medium to long-term business trends/outlooks, gathering competitive intelligence to contribute to business planning discussions with leadership.
  • Produce actionable reports that show key performance indicators, identify areas of improvement in current operations, and display root cause analysis of problems.
  • Comply with established company policies and procedures.
  • Assume other duties as assigned


Supervisory Responsibilities

Not responsible for supervising employees.

Requirements:

Minimum Requirements

Education & Experience
  • Bachelor's degree in Data Analytics, Finance, Accounting, Business Analytics, Information Systems, Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 3 years of experience in Data Analytics, Business Intelligence, Financial Analysis, or a related analytical role.

Required Qualifications

  • Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, advanced formulas, and data analysis. s.
  • Strong experience developing dashboards and reports using Power BI.
  • Advanced SQL skills with experience querying, transforming, and analyzing large datasets.
  • Experience with financial analysis, budgeting, forecasting, and variance analysis.
  • Experience leveraging multiple internal and external data sources to support business decisions.
  • Strong analytical and problem-solving skills with the ability to identify trends, patterns, and opportunities.
  • Experience performing data validation, cleansing, and quality assurance.
  • Experience automating reporting processes and improving reporting efficiency.
  • Excellent verbal and written communication skills with the ability to present findings to executive leadership and operational stakeholders.
  • Ability to manage multiple priorities and projects in a fast-paced environment.

Preferred Qualifications

  • Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, advanced formulas, and data analysis. eferred Qualifications
  • Master's degree in a related field.
  • Experience with statistical modeling, predictive analytics, or forecasting.
  • Experience with Microsoft PowerApps and/or Power Automate.
  • Python or R programming experience.
  • Experience supporting multi-site operations or field-based organizations.
  • Experience with ERP or financial systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics.

Knowledge, Skills, & Abilities

  • Strong business acumen and analytical thinking.
  • Ability to compute rates, ratios, percentages, and financial metrics while interpreting graphs and trends.
  • Advanced Microsoft Office proficiency, particularly Excel, Power BI, Word, and PowerPoint.
  • Strong organizational skills and attention to detail.
  • Ability to communicate technical information to non-technical audiences.
  • Self-starter capable of working independently while collaborating across departments.
  • Demonstrated commitment to continuous process improvement and operational excellence.



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