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Data Analyst Data Science Jobs in Washington, DC

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Bachelor's degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training Desired Qualifications * Experience ...

Data Analyst

Washington, DC · On-site

$95K - $112K/yr

Bachelor's degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training Desired Qualifications * Experience ...

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Bachelor's degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training Desired Qualifications * Experience ...

Bachelor's degree in Data Science, Statistics, Business Analytics, Computer Science, or a related field. Master's degree preferred. * Experience: 3+ years of experience in data analysis, preferably ...

Analyze and define data requirements and specifications. * Collection of metrics and data trends ... Document the implementation of a solution's mathematical, data science and computer science ...

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F ... Preferred Qualifications Master of Science in Mathematics, Engineering, or Computer Science Working ...

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

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Data Analyst

Washington, DC · On-site

$65K - $85K/yr

Bachelor's degree in statistics, mathematics, economics, data science, or a related field. * 3+ years of post-baccalaureate professional experience performing data analysis or related work. * 1+ ...

New

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Position OverviewThe Data Analyst supports the development of dashboards, reports, data visualizations, and analytical products that enable data-driven decision-making across Coast Guard missions.

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Position Overview The Data Analyst supports the development of dashboards, reports, data visualizations, and analytical products that enable data-driven decision-making across Coast Guard missions.

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... Bachelor's degree in a technical discipline such as Computer Science, Information Systems ...

Showing results 41-60

Data Analyst Data Science information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do data analyst data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst data science in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Washington, DC? For Data Analyst Data Science jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Washington, DC look for? The top searched job categories for Data Analyst Data Science jobs in Washington, DC are:
Infographic showing various Data Analyst Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Data Analyst

Darkstar Intelligence LLC

Washington, DC • On-site

$95K - $112K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago


Job description

Description:

DATA ANALYST
Location: Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI Polygraph


Overview

DarkStar Intelligence is seeking a highly qualified Data Analyst to support mission-driven analytic operations in Washington, DC. The selected candidate will provide advanced data exploitation, analytic tradecraft, and visualization support to enable informed decision-making for government stakeholders. This position requires the ability to collect, fuse, and analyze structured and unstructured datasets from multiple sources, apply analytic methodologies, and produce clear, actionable insights supporting operational and strategic objectives. The ideal candidate will possess experience supporting intelligence, national security, or federal analytic environments and demonstrate proficiency in transforming complex data into mission-relevant intelligence products.


Key Responsibilities
  • Perform data exploitation, aggregation, and analysis across multiple datasets to support mission requirements and intelligence-driven objectives.
  • Apply analytic tradecraft, structured analytic techniques, and quantitative methodologies to identify patterns, trends, and operational insights.
  • Integrate and analyze data from multiple sources to support intelligence production, operational planning, and decision support.
  • Conduct research, data discovery, and technical analysis to inform analytic assessments and client deliverables.
  • Develop and maintain data visualizations, dashboards, and reporting tools to communicate analytic findings to mission stakeholders.
  • Produce clear and concise analytic products, data summaries, and briefing materials aligned with customer requirements.
  • Apply data quality assurance and validation processes to ensure analytic accuracy and integrity.
  • Support the development and evaluation of analytic models, methodologies, and performance metrics aligned with mission objectives.
  • Collaborate with analysts, technical personnel, and operational stakeholders to ensure data-driven insights support mission outcomes.

Requirements:
  • Clearance: Active Top Secret/SCI clearance
  • Polygraph: Counterintelligence Polygraph
  • Experience: Minimum 4 years of experience in data analysis, data exploitation, or analytic support within a federal or intelligence environment
  • Education: Bachelor’s degree in Data Science, Analytics, Intelligence Studies, Statistics, Computer Science, or a related discipline, or equivalent specialized training
Desired Qualifications
  • Experience supporting Intelligence Community (IC), DoD, or national security analytic environments
  • Proficiency with Tableau or similar data visualization platforms
  • Experience leveraging SharePoint or collaboration platforms for analytic dissemination
  • Familiarity with structured analytic techniques and intelligence analysis frameworks
  • Experience integrating multiple data sources to produce mission-relevant analytic outputs
  • Ability to translate complex datasets into briefings, dashboards, and intelligence-style reporting


Salary Range:

$95,000 – $112,000 annually. This pay range is a general guideline and not a guarantee of specific compensation or salary. When extending an offer, DarkStar Intelligence considers various factors, including (but not limited to) the job's responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, market data alignment, applicable bargaining agreements (if any), and other relevant laws


Additional Details
  • Travel: No travel required.
  • Work Environment: Full-time support in the Washington, DC area with limited remote work based on customer requirements and security protocols.
Security Note

All applicants must be U.S. citizens and maintain eligibility for a U.S. Government TS/SCI clearance.

Who We Are

DarkStar Intelligence delivers mission-critical support to national security operations across intelligence, cybersecurity, technology, and operational support domains. We partner with government customers to strengthen decision advantage, enhance operational readiness, and advance mission success in complex and evolving threat environments.


Why Work at DarkStar?

At DarkStar Intelligence, you’ll contribute directly to high-impact national security missions while growing your professional capabilities in a collaborative, performance-driven environment. We offer competitive compensation, comprehensive benefits, and opportunities for continuous development within a mission-focused team culture.


ADA Accommodations Statement

DarkStar Intelligence is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with applicable laws.


Equal Employment Opportunity Statement

DarkStar Intelligence is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable federal, state, or local law.


E-Verify Participation

DarkStar Intelligence participates in the federal E-Verify program to confirm employment eligibility of all newly hired employees in accordance with applicable law.


Benefits Overview

DarkStar Intelligence offers a comprehensive benefits package, which may include:

  • Medical, dental, and vision coverage
  • Paid time off (PTO) and holidays
  • 401(k) retirement plan options
  • Professional development and training opportunities