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Entry Level Program Analyst Jobs in Tennessee (NOW HIRING)

Overview / Responsibilities Wood is currently recruiting for an entry level GIS Analyst to join our ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

Job Summary Laboratory Analyst III performs at the entry level under close supervision performing ... Participate in work related training programs and adhere to Company Core Values * Report pertinent ...

From entry-level to more experienced positions, we're actively recruiting individuals who are ... Clayton provides competitive 401K programs, including investment options and company matching for ...

... * Entry-level understanding of general bank operations and the commercial lending process ... Strong computer skills required with the following programs: Access, Word, PowerPoint, Outlook and ...

... * Entry-level understanding of general bank operations and the commercial lending process ... Strong computer skills required with the following programs: Access, Word, PowerPoint, Outlook and ...

... * Entry-level understanding of general bank operations and the commercial lending process ... Strong computer skills required with the following programs: Access, Word, PowerPoint, Outlook and ...

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Showing results 1-20

Entry Level Program Analyst information

See Tennessee salary details

$33.6K

$80.9K

$119.4K

How much do entry level program analyst jobs pay per year?

As of Jul 21, 2026, the average yearly pay for entry level program analyst in Tennessee is $80,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $105,300.00 per year, depending on experience, location, and employer.

What are entry level program analysts?

Entry level program analysts are professionals who help organizations assess and improve their programs and processes. They typically gather and analyze data, prepare reports, and assist senior analysts or managers in making recommendations for program enhancements. These roles are great starting points for individuals seeking careers in data analysis, project management, or public administration, as they provide foundational experience in research, data interpretation, and problem-solving. Entry level program analysts often work in government agencies, nonprofits, or private companies, supporting ongoing projects and strategic initiatives.

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

To thrive as an Entry Level Program Analyst, you need strong analytical abilities, proficiency in data interpretation, and a bachelor's degree in a related field such as business, public administration, or computer science. Familiarity with project management tools, data analysis software like Excel or Tableau, and basic understanding of databases are commonly required. Effective communication, attention to detail, and problem-solving skills help you collaborate with teams and interpret complex information. These skills are essential for delivering insightful program evaluations and supporting data-driven decision-making within organizations.

Is 40 too old to become a data analyst?

Entry level program analysts and data analysts come from diverse backgrounds, and age is not a barrier to entering the field. Many professionals successfully transition into data analysis later in their careers by developing skills in Excel, SQL, and data visualization tools, often through online courses or certifications. Employers value skills and experience over age, making it possible to start a data analysis career at 40 or older.

Can I be a data analyst with no experience?

Entry level program analyst roles often do not require prior experience, but having skills in data analysis tools like Excel, SQL, or Python can improve your chances. Gaining relevant certifications or completing online courses can also help demonstrate your abilities to employers.

What are some typical projects or tasks that an Entry Level Program Analyst might work on during their first year?

As an Entry Level Program Analyst, you can expect to be involved in tasks such as collecting and analyzing data, assisting with program evaluations, preparing reports, and supporting the development and implementation of new processes. You may also participate in meetings with stakeholders, help monitor project timelines, and provide administrative support to more senior analysts. These tasks will help you build a strong foundation in project management, data analysis, and cross-functional collaboration, which are essential for career growth in this field.

How do I become a program analyst?

To become a program analyst, typically a bachelor's degree in fields like business, management, or information technology is required. Gaining experience through internships or entry-level roles, developing skills in data analysis, project management, and familiarity with tools like Excel or SQL can also be beneficial. Certifications such as the Certified Government Financial Manager (CGFM) or Project Management Professional (PMP) can enhance prospects.

What is an entry-level analyst position?

An entry-level analyst position is a role designed for individuals starting their careers in data analysis, research, or program evaluation. These roles typically require basic skills in data collection, reporting, and analysis tools like Excel or SQL, and often serve as a stepping stone to more advanced positions in the field.
What are the most commonly searched types of Program Analyst jobs in Tennessee? The most popular types of Program Analyst jobs in Tennessee are:
Infographic showing various Entry Level Program Analyst job openings in Tennessee as of July 2026, with employment types broken down into 2% Locum Tenens, 84% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $80,917 per year, or $38.9 per hour.
Analytics Engineer I (Entry-Level) (3897)

Analytics Engineer I (Entry-Level) (3897)

Navarro Inc.

Oak Ridge, TN

Full-time

Posted 15 days ago


Job description

Navarro Research and Engineering is recruiting anAnalyticsEngineerI(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 andmaintaindata pipelines,assistingwith reporting and dashboarding efforts, and contributing to applied AI projects. This role is well suited for an early-career professional interested in growing intoa strong analyticsor applied AI contributor, including work involving AI/ML techniques to extract, structure, andvalidatekey information from unstructured documents.

Responsibilities

  • Assistin designing, building, and maintaining data pipelines and ETL/ELT processes.
  • Write andoptimizeSQL 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 todata quality checks and validation processes for both traditional data and AI-generated outputs.