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Intern Python Data Analyst Jobs in Baltimore, MD

Splunk Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance ... Experience working with Python. - What You Can Expect: A culture of integrity. At CACI, we place ...

Worker Type Regular Summary The Data Analyst will support to conceive, develop, mature, maintain ... Professional experience developing and scripting in Python. * Strong verbal communication skills ...

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Intern Python Data Analyst information

See Baltimore, MD salary details

$11

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$41

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

As of Jul 13, 2026, the average hourly pay for intern python data analyst in Baltimore, MD is $22.36, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $24.38 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 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 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 are the key skills and qualifications needed to thrive as an Intern Python Data Analyst, and why are they important?

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 are the most commonly searched types of Python Data Analyst jobs in Baltimore, MD? The most popular types of Python Data Analyst jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Intern Python Data Analyst jobs? Cities near Baltimore, MD with the most Intern Python Data Analyst job openings:
Infographic showing various Intern Python Data Analyst job openings in Baltimore, MD as of July 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,511 per year, or $22.4 per hour.
Data Analyst (Business Operations)

Data Analyst (Business Operations)

QinetiQ US

Fort George G Meade, MD

$75K - $125K/yr

Other

Re-posted 6 days ago


Job description

Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview

Join us in our support to the US Space Force (HQ USSF) Commercial Satellite Communication (COMSATCOM) Office (CSCO), where you will help shape the future of assured, resilient SATCOM for our warfighters and mission partners. As a key member of a highly collaborative, mission-focused team, you will apply your expertise to help deliver innovative commercial SATCOM capabilities, integrate a transformative COMSATCOM business model into the broader SATCOM enterprise, and translate complex operational needs into effective, affordable solutions. In this role, you will work directly with COMSATCOM customers and stakeholders, providing trusted guidance, insightful analysis, and clear recommendations that drive real-world impact in a rapidly evolving space domain. Job duties include:

Responsibilities
  • Collect COMSATCOM usage data and inventory of capabilities (e.g., transponder capacity, frequencies, etc., including Government Furnished Information (GFI) and non-GFI sources.
  • Analyze COMSATCOM usage to develop usage trends, forecasts, and produce reports.
  • Maintain awareness on global, regional, and situational trends to identify potential COMSATCOM usage needs.
  • Create easy-to-read and visually appealing reports to provide updates to United States Space Force (USSF) CSCO leadership and quickly respond to external data calls.
  • Develop DoD COMSATCOM forecasts of potential usage demand.
  • Pull data from various systems in a multitude of formats.
  • Develop metrics and reports and present findings to senior-level stakeholders.
  • Apply basic descriptive statistical tools to data sets to ensure stakeholders understand data quality and statistical significance for decision-making.
  • Support analytic studies by COMSATCOM Subject Matter Experts (SMEs) including cost, courses of action comparisons, business case analyses, market research, and commercial capability assessments.
  • Collaborate with USSF program offices, operators, engineers, financial managers, and commercial providers.
  • Perform data entry into variety of database formats (e.g., SharePoint, Excel, and others).
  • Respond to ad hoc analytic taskings from senior leadership with speed, accuracy, and traceability.
Required Qualifications
  • Minimum of 5 years of experience in data analytics, operations research, economics, engineering, mathematics, and/or statistics.
  • Secret Clearance required. #qinetiqclearedjob
  • Strong analytical, problem-solving and decision-making capabilities.
  • Skilled in Microsoft Office software.
  • Excellent verbal and written executive level communication.
  • Deadline driven, fast paced, organized and detail oriented.
  • Possess excellent organizational skills.
  • Ability to support on-site client meetings within the National Capital Region.
Preferred Qualifications
  • Bachelor's Degree in associated field.
  • Experience supporting USG/USSF/Department of War (DoW) space programs, particularly performing data analysis.
  • Familiarity with USG/DoW acquisition processes and analytic rigor standards.
  • Knowledge and experience in Python or PowerBI.
  • Team player with the ability to work independently in a fast-paced environment.
  • Experience with business models, billing processes, and existing data analysis tools.
Pay Transparency

The salary range for this role is $75,000- $125,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Company EEO Statement

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Employment Type: OTHER