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Data Analytics Internship Jobs in Silver Spring, MD

QxBranch

Data Scientist QxBranch

Washington, DC · On-site

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ...

QxBranch

Data Scientist QxBranch

Washington, DC

Company Description QxBranch delivers predictive analytics solutions leveraging the emerging ... Minimum of 4 to 6 years relevant experience, including internships, part-time positions, and ...

Five Guys

Digital & Analytics Intern

Alexandria, VA · On-site

$20/hr

Corporate Office (InOffice) Internship Length: 10 Weeks | June 8, 2026 - August 14, 2026 Pay Rate ... This role focuses on transforming marketing, CRM, and promotional campaign data--including Limited ...

Five Guys

Digital & Analytics Intern

Alexandria, VA · On-site

$20/hr

Corporate Office (In-Office) Internship Length: 10 Weeks | June 8, 2026 - August 14, 2026 Pay Rate ... This role focuses on transforming marketing, CRM, and promotional campaign data-including Limited ...

Govini

Data Analyst

Arlington, VA

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Govini

Data Analyst

Arlington, VA

... or internships, performing national security-related analytics; preference for research ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

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All JobsData Analytics Internship JobsData Analytics Internship Jobs in Silver Spring, MD

Data Analytics Internship information

See Silver Spring, MD salary details

$12

$23

$43

How much do data analytics internship jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data analytics internship in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
What are the most commonly searched types of Data Analytics jobs in Silver Spring, MD? The most popular types of Data Analytics jobs in Silver Spring, MD are:
What are popular job titles related to Data Analytics Internship jobs in Silver Spring, MD? For Data Analytics Internship jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Analytics Internship jobs in Silver Spring, MD look for? The top searched job categories for Data Analytics Internship jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Analytics Internship jobs? Cities near Silver Spring, MD with the most Data Analytics Internship job openings:
Data Analytics Internship jobs near you

Data Scientist - Predictive Analytics

JANSON

Fairfax, VA • On-site

Full-time

Posted 5 days ago

Job description

Description:

The Data Scientist-Predictive Analytics will serve as a key member of JANSON’s the evolution of Army logistics by developing, implementing, and sustaining intelligent agentic systems and predictive models. Responsible for leveraging a strong academic foundation, the candidate will utilize platforms like Palantir Foundry to transform raw supply chain data and unstructured maintenance records into actionable foresight. This leader will serve as a key point of the transition from academic theory to operational execution, bridging the gap between traditional supervised learning and modern Generative AI (GenAI) to solve complex logistics challenges in real-time. The ideal candidate is all contractor personnel shall possess an active Secret security clearance or be eligible for and able to obtain and maintain a Secret clearance. Personnel without an active clearance may perform unclassified preparatory work while clearance processing is underway..
Key Responsibilities

  • Model Development: Assist the principal data scientist in developing and tuning predictive models (e.g., predicting equipment failure, estimating lead times, or optimizing inventory levels).
  • Data Engineering Support: Assist in data validation, feature engineering, and quality checks on large-scale Army datasets to ensure model integrity.
  • Palantir Integration: Progressively develop expert-level skills in Palantir Foundry to build, update, and reuse predictive dashboards.
  • Training & Documentation: Help develop and update training materials, job aids, and technical documentation for predictive tools to ensure institutional adoption.
  • Sustainment: Support the reuse and long-term maintenance of analytics products and sustainment artifacts.

Minimum Qualifications

  • Master’s Degree (or near completion) in Data Analytics or a related quantitative field.
  • 0–2 years of relevant experience (including significant graduate-level research, labs, teaching or internships).
  • Strong Foundational Knowledge: Deep understanding of supervised learning algorithms, statistical inference, and predictive modeling workflows.
  • Tooling: Demonstrated proficiency in Python-based data science stacks (e.g., Pandas, Scikit-learn) and SQL.
  • Documentation: High attention to detail in technical writing and version control.

Preferred Qualifications

  • Specialized Coursework: Graduate-level focus on Supply Chain Analytics, Stochastic Processes, or Predictive Modeling.
  • Platform Exposure: Prior experience with Palantir Foundry or similar enterprise data platforms.
  • Military Context: Familiarity with Army logistics data (e.g., GCSS-Army, FED LOG) or prior military/government exposure.
  • Visualization: Experience creating compelling data stories using Tableau, Power BI, or integrated platform tools.
Requirements:
  • Secret Security Clearance: Active or eligibility to obtain and maintain.
  • Technical Proficiency: Advanced academic or professional experience in Python and SQL.
  • Analytical Communication: Ability to translate complex statistical and probabilistic AI outputs into clear, actionable insights for military and civilian decision-makers.
  • Operational Agility: Willingness to travel up to 20% for in-person training and operational support.
  • Collaborative Mindset: Capable of working within multi-disciplinary teams to pair human expertise with machine intelligence.