Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
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Navarro Research and Engineering is recruiting an Analytics Engineer I (Entry-Level) (3897) in Oak ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
Navarro Research and Engineering is recruiting anAnalyticsEngineerI(Entry-Level)(3897)in Oak Ridge ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
Navarro Research and Engineering is recruiting anAnalyticsEngineerI(Entry-Level)(3897)in Oak Ridge ... Use Python and/or R to automate data workflows, clean datasets, and perform exploratory analysis.
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Python Programming Entry Level information
What are the key skills and qualifications needed to thrive as an Entry-Level Python Programmer, and why are they important?
What entry level jobs can you get with Python?
How do I get a job in Python with no experience?
What are entry level Python programming jobs?
Will AI replace Python coders?
How do entry-level Python programmers typically collaborate with more experienced developers on projects?
What is the difference between Python Programming Entry Level vs Data Analyst Entry Level?
| Aspect | Python Programming Entry Level | Data Analyst Entry Level |
|---|---|---|
| Required Skills | Basic Python, problem-solving, understanding of algorithms | Excel, SQL, data visualization, basic Python or R |
| Certifications | Python certifications, coding bootcamps | Microsoft Excel, SQL certifications |
| Work Environment | Tech companies, startups, software firms | Finance, marketing, healthcare, consulting |
| Industry Usage | Software development, automation, scripting | Data analysis, reporting, business insights |
Python Programming Entry Level roles focus on coding, scripting, and automation using Python, often in tech environments. Data Analyst Entry Level positions involve analyzing data, creating reports, and using tools like Excel and SQL. While both roles require analytical skills, Python programming emphasizes coding proficiency, whereas data analysis emphasizes data handling and visualization. Understanding these differences helps job seekers target the right roles based on their skills and career goals.
What pays more, C++ or Python?
- Senior Python Engineer
- Junior Data Engineer Remote
- Senior Python Software Engineer
- Entry Level Junior Software Developer
- Professional Rust Developer
- Junior Software Engineer
- Software Engineer Usa
- Contract Infrastructure Software Engineer
- Junior Software Developer Healthcare
- Entry Level Junior Software Engineer

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 7 days ago
Job description
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
About Navarro
Sourced by ZipRecruiter
Industry
Clean energy services
Company size
501 - 1,000 Employees
Headquarters location
Oak Ridge, TN, US