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Data Analytics Graduate Jobs in Washington, DC (NOW HIRING)

The Data Scientist will work as part of a research-focused team to advance national security ... analytical field with 2+ years of experience. * Master's degree or equivalent graduate degree ...

Support the development of annual reports and provide data analytics and data integrity support for ... Recent I/O Psychology graduate strongly preferred; I/O Psychology candidates currently completing ...

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Data Analytics Graduate information

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$27

$62

$106

How much do data analytics graduate jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data analytics graduate in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What is a data analytics graduate?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are typical career paths or growth opportunities for a data analytics graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What are the key skills and qualifications needed to thrive in the data analytics graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

Is a master's degree in data analytics worth it?

For a data analytics graduate, a master's degree can enhance technical skills such as statistical analysis and data visualization, potentially leading to higher-level roles and increased salary. However, practical experience, certifications, and proficiency with tools like SQL and Python are also highly valued in the field and can sometimes substitute for advanced degrees. The decision depends on career goals and the specific requirements of employers in the industry.

What can I do with a master's degree in data analytics?

A master's degree in data analytics prepares graduates for roles such as data analyst, data scientist, or business intelligence analyst, involving skills in statistical analysis, data visualization, and programming with tools like SQL, Python, or R. These roles typically require strong analytical thinking, familiarity with data management, and the ability to interpret complex data to support decision-making.

What kind of jobs can I get with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for these jobs.

What are the most commonly searched types of Data Analytics Graduate jobs in Washington, DC?

The most popular types of Data Analytics Graduate jobs in Washington, DC are:

What job categories do people searching Data Analytics Graduate jobs in Washington, DC look for?

The top searched job categories for Data Analytics Graduate jobs in Washington, DC are:

Infographic showing various Data Analytics Graduate job openings in Washington, DC as of September 2026, with employment types broken down into 10% Internship, 70% Full Time, and 20% Part Time. Highlights an 70% In-person, and 30% Remote job distribution, with an average salary of $128,972 per year, or $62 per hour.

FIOS & NWI Digital Solutions Developer / Data & Decision Support Analyst

Arlington, VA • On-site

Other

Posted 3 days ago

New


Job description

Synchron, LLC is recruiting for a FIOS & NWI Digital Solutions Developer / Data & Decision Support Analyst to provide technical, analytical, and digital development support to the Navy's Fleet Introduction Operating System (FIOS) and Naval Warfighting Integration (NWI) efforts. The position will serve as a bridge between operational and requirements stakeholders, business processes, authoritative data sources, and the Advana digital environment to develop scalable digital workflows, dashboards, and decision-support capabilities.

Responsibilities:
  • Lead the continued development and sustainment of FIOS digital capabilities within Advana, including dashboards, data models, workflow tools, analytics, and executive decision-support products. The contractor will additionally support broader NWI digitization efforts by translating existing processes, data requirements, and decision frameworks into integrated digital solutions.
  • Lead continued design, development, testing, refinement, and sustainment of the FIOS digital environment within Advana.
  • Translate FIOS governance, processes, milestones, roles, and decision requirements into executable digital workflows and data structures.
  • Dashboard & Decision-Support Development
  • Navy capability development, requirements, acquisition, Fleet Introduction, or readiness processes.
  • OPNAV, Fleet, Systems Command, PEO, Resource Sponsor, or similar headquarters-level
  • DOTmLPF-P analysis.
  • Advana development and/or analytics.
  • DoD or Department of the Navy data environments.
  • Dashboard and business-intelligence development.
  • Data modeling and relational data architecture.
  • Data visualization.
Minimum Experience & Requirements:
  • Graduate degree in a quantitative research position such as operations research and strategic studies or a field related in statistics or data analytics. Graduate degree may be substituted with proven 2 years' experience with NASP and NRP, planning, managing, and executing Naval studies and research. In addition, 1-2 years' experience with AMP-DP is preferred.
  • Proven knowledge of military practices and warfighting concepts, with at least 5 years of maritime operational experience (Navy preferred).
  • Working knowledge of military wargaming and experimentation practices, with at least 1-2 years' experience in planning and participating in military wargames and tabletop exercises. Strong analytic and communication skills with 1-2 years' experience analyzing wargame results, relating insights to strategy and goals and communicating findings across teams and to leadership.
  • 1-2 years' experience managing a war room, which may be substituted with proven organizational skills in coalescing, presenting, explaining, and archiving large amounts of complex information, such as through program analysis or management.
  • Active DOD Top Secret Clearance
Other Requirements:

The ideal individual is a technical product developer with strong business-analysis skills, rather than a developer focused solely on software implementation.

The individual should be capable of moving between four levels of the problem:

  • Mission: Understand what FIOS/NWI is attempting to accomplish.
  • Process: Understand how organizations, decisions, data, and workflows interact.
  • Data: Determine how those relationships should be represented and governed digitally.
  • Product: Build an intuitive Advana capability that allows users and leadership to act on that information.
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