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Internship Data Analyst Student information

What does an internship data analyst student do?

An Internship Data Analyst Student assists with collecting, processing, and analyzing data to help organizations make informed decisions. They typically work under the guidance of experienced analysts and are responsible for tasks such as cleaning data, creating reports, and visualizing findings using tools like Excel, SQL, or Python. This role provides hands-on experience with real-world data and allows students to apply their academic knowledge in a professional setting. It also helps them develop valuable technical and analytical skills for their future careers.

What types of projects can an internship data analyst student expect to work on, and how are tasks typically assigned?

As an Internship Data Analyst Student, you can expect to work on a variety of projects such as cleaning and organizing raw data, creating dashboards or visualizations, and performing exploratory data analysis to support business decisions. Tasks are often assigned by a supervising analyst or project manager and may involve collaborating with other interns or team members to solve real-world problems. You’ll likely participate in regular team meetings, present your findings, and receive feedback to help you grow your technical and communication skills throughout the internship.

What are the key skills and qualifications needed to thrive as an internship data analyst student, and why are they important?

To thrive as an Internship Data Analyst Student, you need a solid understanding of statistics, data analysis, and proficiency in spreadsheet tools, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), programming languages like Python or R, and experience using databases (like SQL) are commonly expected. Strong problem-solving skills, attention to detail, and effective communication help interns interpret findings and share insights clearly. These skills are essential for delivering actionable data-driven recommendations and contributing value to the team during the internship.

What are the most commonly searched types of Data Analyst Student jobs in Virginia?

The most popular types of Data Analyst Student jobs in Virginia are:

What cities in Virginia are hiring for Internship Data Analyst Student jobs?

Cities in Virginia with the most Internship Data Analyst Student job openings:

Internship Data Analyst Student jobs near you

Cyber Risk Data Engineer/Analyst

Technomics Inc

Arlington, VA • On-site

Full-time

Re-posted 19 days ago

Job description

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster. We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently. We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts use problem-solving principles, processes and methods and complementary software applications to support client engagements and have a direct and significant impact on deliverables to clients. Your work will be guided by more experienced team members, but you will work with autonomy.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position may be located in Arlington, VA (Headquarters), Washington D.C., Pentagon, Springfield, VA., Chantilly, VA., Tysons Corner, VA.
Description:
We are seeking a Cyber Risk Data Engineer/Analyst. This role focuses on the data side of cyber risk management - capturing outputs from senior SMEs, tagging and structuring data, and building data-driven capabilities that support proactive risk identification.
The ideal candidate is detail-oriented and eager to grow in the cybersecurity field.
You will help organize and manage risk assessment data, connect outputs to external threat/vulnerability databases (e.g., CVE/NVD, MITRE ATT&CK), and develop structured knowledge bases that allow for trend analysis and lessons learned.
This position is perfect for someone who wants to learn from senior SMEs while building technical skills in data analysis, visualization, and cyber risk management. You'll play a key role in helping clients shift from reactive reporting to proactive risk detection.
Clearance Required: Active DOE Q or higher (or ability to obtain)
Key Responsibilities:
  • Support senior SMEs by collecting, organizing, and structuring cyber risk assessment outputs into usable datasets and knowledge repositories.
  • Implement data tagging, metadata standards, and knowledge capture practices to enable traceability and lessons-learned reuse across assessments.
  • Connect assessment data with external threat and vulnerability databases (e.g., MITRE ATT&CK, CVE/NVD, vendor advisories) to enrich analysis and support proactive risk identification.
  • Develop and maintain structured datasets, dashboards, or knowledge management tools that allow for trend analysis and predictive insights.
  • Assist in building data-driven capabilities to shift risk management from reactive reporting toward proactive detection and trend anticipation.
  • Work closely with senior cyber SMEs to ensure data accurately reflects risk findings, mitigation considerations, and enterprise impacts.
  • Support the development of data visualization products, analytic reports, and briefing materials for leadership.
  • Contribute to the maturation of the clients risk knowledge base by aligning historical assessment data with new findings.

Required Qualifications:
  • 1-3 years of experience in cybersecurity, data analysis, or IT risk management.
  • Familiarity with cybersecurity frameworks such as NIST SP 800-30, RMF, or MITRE ATT&CK (coursework, internships, or entry-level experience acceptable).
  • Demonstrated experience with data analysis, organization, and visualization (Excel, Power BI, Tableau, or similar).
  • Ability to work with structured and unstructured data, including tagging, metadata, and relational mapping.
  • Strong written and verbal communication skills to document findings and support SME deliverables.

Preferred Qualifications:
  • Experience supporting national security organizations.
  • Familiarity with cyber threat and vulnerability databases (CVE, NVD, CISA KEV catalog, vendor advisories).
  • Coursework or hands-on exposure to Python, SQL, or other scripting tools for data handling.
  • Technical certifications such as Security+.
  • Understanding of knowledge management or data governance practices.
  • Ability to work in a team-oriented, high-paced environment and interact with both technical and non-technical stakeholders.

Work Environment:
  • Hybrid role with D.C.-based work and travel to client and partner sites to support SME risk assessment teams.
  • Focused on the data side of mission assurance - building knowledge bases, connecting data sources, and supporting proactive cyber risk identification.
  • Collaborative setting with senior SMEs, engineers, and mission partners, requiring adaptability, attention to detail, and an eagerness to learn.
  • Provides strong career growth opportunities in cyber risk analysis, data science, and national security mission assurance.

Salary range: $70,000- 115,000 USD
The salary range listed is one part of our total compensation package, which may also include bonuses, incentives and benefits. Individual compensation is determined based on qualifications such as relevant years of experience, education, certifications and geographic location
Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.

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