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Data Associate Jobs in Washington (NOW HIRING)

Senior Data Analyst

Quantico, VA · On-site

$91.10K - $114.90K/yr

Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge (CCSK) * EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified ...

Senior Data Analyst

Quantico, VA

$91.10K - $114.90K/yr

Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE * Certificate of Cloud Security Knowledge (CCSK) * EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified ...

Associate Data Scientist

Arlington, VA

$67.90K - $68.50K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

We are seeking an Associate to join our Data & Analytics team in New York, NY or Washington, DC. This is a fantastic entry point for a curious, detail-oriented professional who wants to do meaningful ...

New

We are seeking an Associate to join our Data & Analytics team in New York, NY or Washington, DC. This is a fantastic entry point for a curious, detail-oriented professional who wants to do meaningful ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Data Associate information

See Washington salary details

$16

$37

$63

How much do data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for data associate in Washington is $37.46, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $44.38 per hour, depending on experience, location, and employer.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the most commonly searched types of Data jobs in Washington? The most popular types of Data jobs in Washington are:
What are popular job titles related to Data Associate jobs in Washington? For Data Associate jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Washington look for? The top searched job categories for Data Associate jobs in Washington are:
What cities in Washington are hiring for Data Associate jobs? Cities in Washington with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Washington as of May 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $77,917 per year, or $37.5 per hour.
Senior Data Analyst

Senior Data Analyst

Data Intelligence LLC

Quantico, VA • On-site

$91.10K - $114.90K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.
Key Responsibilities
  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions

Required Qualifications
  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)
One or more relevant industry certifications, such as:
  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:
Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.
Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.
Why you should join us:
Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.