1

Data Dimensions Jobs in Virginia (NOW HIRING)

Data Architect

Arlington, VA

$73.25 - $94.25/hr

Designing strategies for handling slowly changing dimensions Preferred Skills: * Ability to ... Data Cataloging Experience (2+ years) * Architecting a data cataloging strategy for a myriad of ...

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Strong understanding of dimensional modeling and data warehousing concepts, including star schemas, slowly changing dimensions, and designing tables optimized for BI tool consumption (import vs.

Data Engineer

Norfolk, VA

$110K - $133K/yr

Strong understanding of dimensional modeling and data warehousing concepts, including star schemas, slowly changing dimensions, and designing tables optimized for BI tool consumption (import vs.

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Strong understanding of dimensional modeling and data warehousing concepts, including star schemas, slowly changing dimensions, and designing tables optimized for BI tool consumption (import vs.

Data Engineer

Norfolk, VA

$110K - $133K/yr

Strong understanding of dimensional modeling and data warehousing concepts, including star schemas, slowly changing dimensions, and designing tables optimized for BI tool consumption (import vs.

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Strong understanding of dimensional modeling and data warehousing concepts, including star schemas, slowly changing dimensions, and designing tables optimized for BI tool consumption (import vs.

Data Engineer

Norfolk, VA · On-site

$98K - $118K/yr

... dimensions, and designing tables optimized for BI tool consumption (import vs. DirectQuery, pre-aggregation strategies). • Experience designing end-to-end data pipeline architectures including ...

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

Proven ability to design scalable, reusable data models (dimensional modeling, star schemas, canonical metrics, shared dimensions) * Experience with BI tools (Looker, Tableau, Mode, or similar) and ...

next page

Showing results 1-20

Data Dimensions information

What are Data Dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.
What are popular job titles related to Data Dimensions jobs in Virginia? For Data Dimensions jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Data Dimensions job openings in Virginia as of June 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution.
OSINT Analyst - Junior - TS/SCI

OSINT Analyst - Junior - TS/SCI

Global Dimensions

Quantico, VA • On-site

Full-time

Posted 19 days ago

Be an early applicant


Job description

Global Dimensions is a HUBZone, service disabled, veteran-owned small business based in Fredericksburg, VA. We are a dynamic, expanding company with exciting opportunities in language/culture, training/education/instruction, IT, cyber security, and intelligence (analysts, CI, HUMINT, SIGINT, etc.). Global Dimensions is seeking a Junior OSINT Analyst for an upcoming opportunity in Quantico, VA.

Junior OSINT Analyst will:

  • Conduct OSINT activities in response to Government Request for Information (RFI) or tasking from the OIC, including collaborating with the Government to clarify and refine the RFI, collecting, exploiting, and analyzing open-source information online, and preparing reports in the required format, with minimal supervision, using commercial internet, NIPRNet, SIPRNet, and SCINet systems and tools.
  • Populate and maintain databases in support of and in coordination with Data Analysts and Data Scientists.
  • Document the types and structure of open-source data, analyze and mine data to identify patterns and correlations, trace and map data from system to system or source to source, and design and create data reports.
  • Assist the OSINT Team in utilizing and evaluating available Commercial Off-The-Shelf (COTS) tools.
  • Use COTS tools to aggregate, structure, visualize, and assess available open-source information, while inferring and evaluating the relevance, veracity, and credibility of the information and its source.
  • Utilize managed attribution (MA) software and associated online tradecraft during OSINT collection activities, demonstrating an understanding of the limitations of MA tools.
  • Develop innovative methods to combine data from various tools to produce analytical results that provide greater value and relevance to Operational Forces.
  • Train and mentor Marines in OSINT tradecraft and best practices, including the ability to administer MCIA’s Expeditionary OSINT Course.
  • Identify, develop, and formalize new OSINT tradecraft and other SOPs to fulfill mission requirements.
  • Leverage language skills and cultural/area knowledge to support OSINT activities, including proficiency in Arabic, Farsi/Persian, Korean, Mandarin, and Russian, with a DLPT score of 3/3 or higher (DLPT score must be no older than 5 years at the time of hire).
  • Develop open-source research strategies to address specific information gaps.
  • Manually search, exploit, and analyze various online open sources, including media, social media, academic literature, videos, maps, etc., in the target language to complement information from other sources or to fill information gaps.
  • Use various tools and methods to verify the authenticity and currency of information gathered from the internet.
  • Create reports using Word and PowerPoint to communicate research findings, generating Open-Source Intelligence Reports (OSIRs).
  • Verbally present findings and research methods to various stakeholders.
  • Use language skills to search for and translate foreign articles, journals, and other media into English.
  • Participate in meetings, conferences, and exercises.

Requirements

  • TS/SCI Security Clearance
  • Desired Experience: At least 3 years of experience conducting analysis relevant to the labor category, with at least some of the experience within the last 2 years.
  • Desired Education: Bachelor’s degree in a field related to the labor category from an accredited college or university recognized by the U.S. Department of Education. Alternatively, an additional 4 years of experience in the specific labor category, totaling 7 years, may substitute for a Bachelor’s degree.
  • Completed a joint-accredited OSINT course. Joint-accredited OSINT courses include: EOSINT (USMC), OS301 and OS302 (Army), ONI OSINT Fundamentals Course (Navy), Introduction to OSINT (USAF), DIA BOTC (DIA), NGA OSINT Course (NGA), NERD (SOCOM). Commercial alternatives to joint-accredited OSINT courses include: CASO (Black Horse Solutions), and SEC 497 and SEC 587 (SANS Institute).
  • Demonstrates a working knowledge of the concepts involved in the specific functions outlined in the labor category description.
  • Knowledgeable of and demonstrates the ability to apply IC and DoD classification guidelines and procedures.
  • Demonstrates the ability to work semi-independently with oversight and direction.
  • Demonstrates the ability to apply logic when evaluating and synthesizing multiple sources of information. Shows understanding of interpreting analysis, including its meaning, significance, and implications. Demonstrates the ability to defend analytic judgments with sound, logical conclusions, and to adapt these judgments when new information, changing conditions, or unexpected developments arise.
  • Demonstrates the ability to produce timely, logical, and concise analytic reports, documents, assessments, studies, and briefing materials in various formats, including Microsoft Office tools (e.g., Excel, Word, PowerPoint), electronic/soft copy matrices, and/or web-enabled formats.
  • Demonstrates the ability to clearly communicate complex issues in a concise and organized manner, both verbally and non-verbally, with strong grammar skills. Demonstrates proficiency with Microsoft Office tools.
  • Demonstrates the ability to develop structured research, including but not limited to obtaining, evaluating, organizing, and maintaining information within security and data protocols.
  • Demonstrates the ability to recognize nuances and resolve contradictions and inconsistencies in information.
  • Demonstrates working knowledge of complex analytic methodologies, such as structured analytic techniques or alternative approaches, to examine biases, assumptions, and theories, reducing uncertainty, strengthening analytic arguments, and mitigating surprise. Structured analytic techniques include, but are not limited to, Analysis of Competing Hypotheses, Devil’s Advocacy, High-Impact / Low-Impact Analysis, Red Team Analysis, and Alternative Futures Analysis.
  • Demonstrates understanding of intelligence collection capabilities and limitations, including but not limited to technical sensors/platforms and human intelligence sources relevant to the labor category.
  • Demonstrates understanding of evaluating collected intelligence reporting, engaging with collection managers, and developing collection requirements.

Global Dimensions does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. Equal Opportunity Employer/Veterans/Disabled.