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Entry Level Data Jobs in Tennessee (NOW HIRING)

Actalent

Entry Level Recruiter/Sales Trainee

Cordova, TN · On-site

$45K - $65K/yr

We're looking for a highly motivated Entry-Level Recruiter | Sales Trainee to join our team and ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Amsurg

Payroll Specialist I (Entry-Level)

Nashville, TN · Remote

$22.75 - $31/hr

Payroll Specialist I (Entry-Level) Remote Company Overview: AMSURG is an independent leader in ... Support the input of employee data into UltiPro HRIS for Surgery Center employees * Respond to ...

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AmSurg LLC

Payroll Specialist I (Entry-Level)

Nashville, TN · Remote

$22.75 - $31/hr

Payroll Specialist I (Entry-Level) Remote Company Overview: AMSURG is an independent leader in ... Support the input of employee data into UltiPro HRIS for Surgery Center employees * Respond to ...

New

AMSURG

Payroll Specialist I (Entry-Level)

Nashville, TN · Remote

$22.75 - $31/hr

Payroll Specialist I (Entry-Level) Remote Company Overview: AMSURG is an independent leader in ... Support the input of employee data into UltiPro HRIS for Surgery Center employees * Respond to ...

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All JobsData JobsEntry Level Data JobsEntry Level Data Jobs in Tennessee

Entry Level Data information

See Tennessee salary details

$10

$17

$25

How much do entry level data jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for entry level data in Tennessee is $17.67, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $19.86 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data vs Data Analyst?

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

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

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.
What are the most commonly searched types of Data jobs in Tennessee? The most popular types of Data jobs in Tennessee are:
What cities in Tennessee are hiring for Entry Level Data jobs? Cities in Tennessee with the most Entry Level Data job openings:
Entry Level Data jobs near you
Analytics Engineer I (Entry-Level) (3897)

Analytics Engineer I (Entry-Level) (3897)

Navarro Inc.

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak Ridge, TN.

Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client’s success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.

Position Summary

The Analytics Engineer I (Entry-Level) will support Navarro’s Data & Analytics team by helping build and maintain data pipelines, assisting with reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing into a strong analytics or applied AI contributor, including work involving AI/ML techniques to extract, structure, and validate key information from unstructured documents.

Responsibilities

  • Assist in designing, building, and maintaining data pipelines and ETL/ELT processes.
  • Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
  • Support the development of dashboards and reports using Excel and other business intelligence tools.
  • Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
  • Build and support AI/ML-driven workflows for extracting key text and structured data from documents, including NLP, LLM-based extraction, and OCR plus ML pipelines.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data and applied AI project needs.
  • Help document data models, pipeline logic, and AI/ML workflow processes.
  • Contribute to data quality checks and validation processes for both traditional data and AI-generated outputs.

Requirements

Requirements

  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • Working knowledge of SQL for querying and manipulating data.
  • Proficiency in Excel, including formulas, pivot tables, and data visualization.
  • Proficiency in Python and/or R, including experience with relevant ML/AI libraries such as pandas, scikit-learn, or similar tools.
  • Hands-on exposure to AI/ML concepts through coursework, projects, or internships, such as text extraction, natural language processing, or document processing.
  • Strong analytical and problem-solving skills.
  • Good communication skills and the ability to work in a collaborative, cross-functional environment.
  • Attention to detail and a commitment to data accuracy.

Preferred Qualifications

  • Master’s degree in a relevant quantitative field.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud and BI tools such as Tableau, Power BI, or Looker.
  • Familiarity with version control, such as Git, and basic software engineering practices.
  • Experience with LLM-based tools or APIs for document parsing, text extraction, entity recognition, or information extraction.
  • Experience with OCR tools or unstructured document processing, including PDF or text parsing libraries
  • Local candidates are preferred.

Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required.

Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran’s status, or any classification protected by applicable state or local law.

EEO Employer/Vet/Disabled

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation & Public Holidays)
  • Short Term & Long Term Disability