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Intern Python Data Analyst Jobs in Sneads Ferry, NC

Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines o Automation & Scale : Build production-grade Python solutions that handle massive data volumes with ...

Senior Data Scientist

Camp Lejeune, NC · On-site

$100K - $150K/yr

Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines * Automation & Scale : Build production-grade Python solutions that handle massive data volumes with ...

In this role, you will design and deploy Python-based solutions and analytic pipelines that integrate structured and unstructured data from multiple sources, including web APIs and enterprise ...

Senior Data Scientist

Sneads Ferry, NC · On-site

$108K - $115K/yr

... Python to retrieve, normalize, and operationalize data * Experience using Git-based version platform control platforms (e.g. GitLab, GitHub) * Experience building dashboards and analytic interfaces ...

Data Scientist, Mid

Jacksonville, NC · On-site

$77K - $176K/yr

... Python, Java, or SQL * Experience with data visualization tools such as Tableau or Power BI * Experience with client-facing teams providing data wrangling, analytics, visualization, and presentation

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Intern Python Data Analyst information

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How much do intern python data analyst jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for intern python data analyst in Sneads Ferry, NC is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.74 per hour, depending on experience, location, and employer.

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What cities near Sneads Ferry, NC are hiring for Intern Python Data Analyst jobs?

Cities near Sneads Ferry, NC with the most Intern Python Data Analyst job openings:

Data Scientist

Sneads Ferry, NC • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 12 days ago


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Paid time off

Role: Senior Data Scientist.
Location: Sneads Ferry, NC, or NOVA (Springfield, VA) - 100% onsite.
Job Description:
We're seeking an exceptional Senior Data Scientist for multiple locations to join our mission-critical team supporting our government customer in Sneads Ferry, NC
This isn't just another data science role; it's an opportunity to transform raw data into actionable insights that directly impact national security operations and warfighter support.
In an era where geospatial intelligence drives critical decisions, you'll architect innovative data solutions that help analysts see patterns others miss, anticipate threats before they materialize, and deliver the GEOINT advantage our nation depends on.
Your work will directly enable our customers' mission to provide timely, relevant, and accurate data in support of military and national security objectives.
As a Senior Data Scientist, you'll serve as a technical leader and trusted advisor, bridging the gap between complex requirements and elegant technical solutions:
Core Responsibilities:
·    Architect Solutions, Not Just Code
Design and implement end-to-end data science architectures that process multi-INT data streams at scale. You'll build automated pipelines that transform terabytes of structured and unstructured data into mission-critical intelligence products.
·    Lead Through Expertise
Serve as the Subject Matter Expert for advanced analytics, mentoring team members while maintaining hands-on technical contributions. Your insights will shape program direction and capability roadmaps.
·    Innovate Continuously
Research, prototype, and deploy cutting-edge analytical methodologies. Apply machine learning, network analytics, and advanced statistical techniques to solve intelligence problems that have never been solved before.
·    Deliver Clarity from Complexity
Create sophisticated data visualizations and analytics dashboards that enable analysts to explore massive datasets intuitively, revealing patterns and relationships that drive intelligence assessments.
·    Drive Mission Success
Partner directly with customer stakeholders, understanding their intelligence questions and translating them into technical requirements. Your solutions will directly support critical intelligence operations.
·    Technical Focus Areas

o    Geospatial Analytics: Advanced spatial analysis, pattern detection, and predictive modeling using GEOINT datasets
o    Multi-INT Fusion: Integrate and analyze data across GEOINT, SIGINT, OSINT, and other intelligence disciplines
o    Automation & Scale: Build production-grade Python solutions that handle massive data volumes with efficiency and reliability
o    Visual Intelligence: Develop interactive dashboards and network analytics that transform complex data into actionable insights
o    AI/ML Applications: Implement machine learning models for classification, clustering, anomaly detection, and predictive analytics. The candidate must have previous experience in ABI tradecraft as well as the ability to produce finished products that adhere to NGA and DNI standards.
Required Skills:
 
 
·    US Citizen.

·    Active TS/SCI security clearance required to apply; must be able to pass a CounterIntelligence (CI) polygraph following customer indoctrination.  

·    High School Diploma and 10+ years of relevant experience; alternatively, a Bachelors / Masters degree in a related field of study or a combination of military (10+ years), experience, training, or certifications.

·    Proven track record supporting Intelligence Community missions in operational environments. 
·    Senior-level proficiency in Python:
o    For data science, automation, and analytics pipeline development.
o    With demonstrated experience in designing mission-ready solutions.
·    Experience:
o    Querying and integrating web APIs through Python to retrieve, normalize, and operationalize data.
o    Developing interactive data visualizations using Plotly, Seaborn, Matplotlib, Bokeh, or comparable tools.
o    Building dashboards and analytic interfaces using Dash, Streamlit, Panel, Tableau, or similar platforms.
o    Using Git-based version control platforms such as GitLab or GitHub.
o    Architecting solutions for large-scale structured and unstructured datasets.
o    Conducting multi-INT research and analysis to support operational requirements.
·    Hands-on experience with COTS platforms (Tableau, MATLAB, MapLarge) and GOTS capabilities for advanced statistical analysis.
·    Strong SQL skills and experience querying relational databases.
·    Proficiency with:
o    Geospatial processing frameworks such as GDAL or ArcPy.
o    GIS desktop software such as ArcGIS Pro or QGIS.
·    Ability to:
o    Write clear, concise technical documentation related to software systems and automated workflows.
o    Operate independently at a senior level with limited oversight.
o    Identify capability gaps and architect innovative technical solutions.
o    Proven ability to lead technical teams and mentor data scientists.
·    Familiarity with:
o    USSOCOM and broader U.S. military organizational structures.
o    Common Intelligence Community (IC) data repositories.
·    Demonstrated experience building, maintaining, and querying complex databases.
·    Deep understanding of intelligence analysis workflows and how data science enables mission success.
·    Exceptional communication skills—translating complex technical concepts for non-technical stakeholders.
·    Independent operator comfortable working in ambiguous, fast-paced environments.
Clearance:
TS/SCI and willing to obtain a CI Poly.
 
Desired Skills:
 
 
·    AI/ML development experience with production model deployment.
·    Geospatial programming expertise: Python with GeoPandas/ArcPy, ArcObjects, GIScience techniques.
·    Full-stack development capabilities: JavaScript/HTML5, .NET, C++, Java.
·    Database technologies: Oracle, SQL, PostgreSQL, geodatabases (ArcSDE).
·    GIS platform expertise: ArcGIS Desktop, ArcGIS Server, ArcGIS Enterprise.
·    Background in building GEOINT, SIGINT, or OSINT databases for operational analysis.
EOE