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Data Analyst Fellowship Jobs (NOW HIRING)

Duke University

Data Analytics Fellow

Durham, NC · On-site

The Office of Information Technology at Duke University is seeking a Data Analytics Fellow to join our team. If you are passionate about addressing challenging issues in higher education using data ...

Bcbsri

Senior Data Visualization Analyst

Providence, RI · On-site +1

$93K - $140K/yr

To further improve the health and well-being of our fellow Rhode Islanders, we regularly roll up ... Collaborate with data engineering and analytics teams to source, model, andoptimizedatasets ...

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Data Analyst Fellowship information

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$34K

$82.6K

$136K

How much do data analyst fellowship jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data analyst fellowship in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What kind of projects or responsibilities can I expect during a Data Analyst Fellowship?

As a Data Analyst Fellow, you can expect to work on real-world projects such as cleaning and analyzing large datasets, creating dashboards and reports, and identifying trends or actionable insights for business decision-makers. Fellows often collaborate with experienced analysts, data scientists, or business teams to support ongoing initiatives or solve specific problems. This role typically offers exposure to multiple departments, allowing you to develop hands-on technical skills and a deeper understanding of how data shapes business strategies. Many organizations also provide mentorship and opportunities for networking, which can help you grow professionally and explore potential paths for career advancement after the fellowship.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in statistical analysis, visualization, and domain knowledge that AI tools currently cannot fully replicate, making human expertise still valuable in the field.

What is a Data Analyst Fellowship job?

A Data Analyst Fellowship is a temporary, structured program designed to provide hands-on experience in data analysis. Fellows work with real datasets, develop analytical skills, and gain exposure to industry tools like SQL, Python, and data visualization software. These programs are often aimed at early-career professionals or career switchers looking to build expertise in data analytics. Depending on the organization, fellowships may include mentorship, training sessions, and project-based work. Some fellowships offer stipends or the possibility of full-time employment upon completion.

Is 40 too late for data science?

For a Data Analyst Fellowship, age is not a barrier to entering data science. Many professionals successfully transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or bootcamps. Experience, continuous learning, and building a strong portfolio are key factors for success regardless of age.

What are the key skills and qualifications needed to thrive in the Data Analyst Fellowship position, and why are they important?

To thrive as a Data Analyst Fellow, you need a solid grounding in statistics, data interpretation, and database querying, often demonstrated by a degree in a related field and relevant internships or coursework. Familiarity with tools like SQL, Excel, Python or R, and data visualization platforms (such as Tableau or Power BI) is typically required, and certifications in these areas can be advantageous. Strong analytical thinking, attention to detail, effective communication, and a collaborative mindset are essential soft skills. These skills enable fellows to accurately extract insights from data, clearly communicate findings, and contribute effectively to cross-functional teams.

What is a data analyst fellowship?

A data analyst fellowship is a structured program that provides training and hands-on experience in data analysis, often for early-career professionals or those transitioning into the field. Participants typically learn skills such as data cleaning, visualization, and tools like Excel, SQL, or Python, and may work on real-world projects under mentorship. These fellowships can lead to full-time roles and often include networking opportunities and professional development components.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries as organizations increasingly rely on data-driven decision-making. Skills in data visualization, statistical analysis, and tools like Excel, SQL, and Python enhance job prospects, with many roles available in both entry-level and senior positions.
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Data Analyst Fellowship jobs near you
Infographic showing various Data Analyst Fellowship job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, 7% Part Time, 5% Temporary, and 38% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst with Security Clearance

Data Analyst with Security Clearance

Vector Resources

Washington, DC • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

OVERVIEW The Data Analyst will develop and maintain analytic products, dashboards, and ETL pipelines informing nuclear industrial base assessments, at-risk materials monitoring, CFIUS reviews, and emerging technology evaluations. Work is analyst-driven and directly informs senior government decision-makers. KEY RESPONSIBILITIES Design, build, and maintain interactive dashboards and visualizations in Power BI to support recurring and ad hoc analytic requirements.
Develop, automate, and document ETL processes across structured and unstructured data sources, including government systems, commercial databases, and open-source feeds.
Conduct open-source data stream analysis to identify trends, anomalies, and indicators relevant to nuclear industrial base resilience, supply chain risk, at-risk materials, and foreign investment activity.
Produce written analytic products, data summaries, and briefing materials supporting CFIUS case reviews, technology assessments, and related national security evaluations.
Write and maintain scripts for data acquisition, transformation, enrichment, and analysis.
Integrate disparate datasets into unified analytic environments; perform data quality assurance, deduplication, entity resolution, and normalization.
Partner with government leads, subject matter experts, and fellow contractors to translate mission questions into repeatable analytic workflows.
Document data sources, methodologies, assumptions, and limitations to standards acceptable for government record and audit. REQUIRED QUALIFICATIONS Bachelor's degree in data science, statistics, computer science, engineering, economics, international affairs, or a related field. Equivalent experience will be considered.
Minimum of 2 years of professional experience in a data analyst, intelligence analyst, or research analyst role.
Demonstrated proficiency in Power BI, DAX, Power Query (M), data modeling, and dashboard publication.
Working proficiency in Python for data manipulation and analysis (pandas, requests, standard ETL libraries).
Experience designing and operating ETL pipelines against multiple source types (APIs, flat files, SQL, web-scraped content).
Strong written analytic communication; ability to produce concise products for senior audiences.
Active DOE Q or DoD Top Secret clearance at time of hire.
U.S. citizenship.
Local residence in the DC-MD-VA area. PREFERRED QUALIFICATIONS Experience supporting DOE, NNSA, DoD, IC, or Treasury customers on national security analytic missions.
Subject matter familiarity with any of the following: nuclear industrial base, nuclear fuel cycle, critical and at-risk materials (including rare earths, tritium, HEU/LEU supply chains), CFIUS, export controls, emerging technology assessments (AI/ML, nuclear fuel cycle, quantum, biotech, advanced semiconductors, material characterization).
Working proficiency in R for statistical analysis.
Experience with open-source intelligence (OSINT) tradecraft, including structured analytic techniques, source evaluation, and foreign-language source triage.
Experience with SQL and relational database design.
Experience with Azure data services, SharePoint, or Power Platform (Power Automate, Power Apps) integration.
Familiarity with supply chain analytics, trade data (Panjiva, ImportGenius, UN Comtrade), corporate registry data (Sayari, Dun & Bradstreet), or patent/publication datasets.
Experience with geospatial analysis (ArcGIS, QGIS, or Python geospatial libraries).
Graduate degree in a relevant discipline. WORK ENVIRONMENT  Hybrid schedule typically consisting of 3 days at the customer site in Washington, D.C. and 2 days of telework. About Vector Resources, Inc. Founded in 1998, Vector Resources Inc, is a professional services company specializing in technical and management services supporting the energy, defense, national security, and advanced technology sectors. We contract directly with Federal and state government agencies as well as private sector organizations. Our clients address a wide range of complex challenges and our experienced team provides innovative, thoughtful, and cost-effective solutions focused on their needs. VRI is proud to offer a comprehensive and flexible benefits package that includes: Competitive Salaries
Paid Time Off
Healthcare Benefits (Medical, Dental, Vision)
401(k) and 401(k) safe harbor plan with employer contribution of 3%
Insurance (Basic Life and AD&D, Dependent, Short-term, Long-term)
Tuition Assistance Find out more about Vector Resources at https://www.vector-resources.com/

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