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Data Analytics Recruiter Jobs in Washington (NOW HIRING)

Ardent

Performance/Data Analyst

Washington, DC · On-site

Perform data cleansing, validation, and transformation activities to support analytics initiatives ... We will not discriminate in employment, recruitment, advertisements for employment, compensation ...

Apex Systems

Mid Level Data Analyst

Merrifield, VA · On-site

Contribute to analytics and business intelligence work as the backlog remediation matures. Required ... Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.

rockITdata

Data Analyst- Federal Health

Arlington, VA · Remote

Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science ... You may also verify any suspicious communication by contacting our recruitment team directly ...

Guidehouse

Security Assistance Data Analyst

Washington, DC · On-site

$113K - $188K/yr

Minimum of five (5) years of experience in data analytics, visualization, or program evaluation ... All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse ...

Guidehouse

Security Assistance Data Analyst

Washington, DC · On-site

$113K - $188K/yr

Minimum of five (5) years of experience in data analytics, visualization, or program evaluation ... All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse ...

rockITdata

Data Analyst- Federal Health

Arlington, VA · On-site +1

Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science ... You may also verify any suspicious communication by contacting our recruitment team directly ...

Dexis

Senior Data Analyst, DOS

Washington, DC · On-site

$97K - $122K/yr

About the Position Dexis is recruiting a Senior Data Analyst to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the ...

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Data Analytics Recruiter information

What does a Data Analytics Recruiter do?

A Data Analytics Recruiter specializes in finding and hiring qualified professionals for data analytics roles within organizations. They work closely with hiring managers to understand the technical requirements of analytics positions, source and screen candidates with relevant skills in data analysis, and manage the interview and hiring process. Data Analytics Recruiters must be knowledgeable about analytics tools, industry trends, and the specific needs of data-driven teams to successfully match candidates to the right opportunities.

What are the key skills and qualifications needed to thrive as a Data Analytics Recruiter?

To thrive as a Data Analytics Recruiter, you need a solid understanding of data analytics roles, strong sourcing abilities, and experience with full-cycle recruitment, typically supported by a bachelor's degree in human resources or a related field. Familiarity with applicant tracking systems (ATS), LinkedIn Recruiter, and data-driven recruitment tools is crucial. Excellent communication, relationship-building, and negotiation skills set standout professionals apart in this field. These skills and tools are vital for identifying top analytics talent and matching them effectively with organizational needs.

What are some common challenges Data Analytics Recruiters face when sourcing candidates, and how can they be addressed?

Data Analytics Recruiters often encounter challenges such as a limited pool of qualified candidates, rapidly evolving technical skill requirements, and high competition from other employers seeking analytics talent. To address these issues, recruiters can build strong relationships with academic institutions, leverage specialized job boards and networking events, and stay updated on the latest data analytics tools and technologies. Proactively engaging with passive candidates and collaborating closely with hiring managers to define precise role requirements also helps improve sourcing effectiveness.

What is the difference between Data Analytics Recruiter vs Data Analyst?

AspectData Analytics RecruiterData Analyst
Required CredentialsRecruitment certifications, HR or recruiting experienceDegree in Data Science, Statistics, or related field
Work EnvironmentRecruitment agencies, HR departments, staffing firmsBusiness, finance, tech companies, or consulting firms
Employer & Industry UsageUsed in HR and staffing sectors to source data talentUsed across industries to analyze data and generate insights
Search & Comparison IntentFocuses on recruiting data professionalsFocuses on analyzing data to inform business decisions

The main difference is that a Data Analytics Recruiter specializes in sourcing and hiring data professionals, while a Data Analyst focuses on analyzing data to support business strategies. Both roles require familiarity with data concepts, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Data Analytics Recruiter jobs in Washington?

For Data Analytics Recruiter jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Analytics Recruiter jobs in Washington look for?

The top searched job categories for Data Analytics Recruiter jobs in Washington are:

What cities in Washington are hiring for Data Analytics Recruiter jobs?

Cities in Washington with the most Data Analytics Recruiter job openings:

Data Analytics Recruiter jobs near you
Infographic showing various Data Analytics Recruiter job openings in Washington as of June 2026, with employment types broken down into 46% Full Time, 36% Part Time, and 18% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist / Data Analytics Scientist (VIG-DS-01.080626)

Capital Solutions Group

Fort George G Meade, MD

Full-time

Posted 14 days ago

Job description

SECURITY CLEARANCE: T S/SCI with both Polygraphs is required
POSITION:  Data Scientist     (multiple LCAT levels cited below)
REQUISITION:  VIG-DS-01.080626
LOCATION:  Ft. Meade, Maryland

JOB DESCRIPTION: 
Use data, statistical/mathematical / computer science, reasoning, programming, and knowledge of the business or mission area to reach defensible conclusions.  Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer-base subset data holdings. 

Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. 

Effectively communicate complex technical information to non-technical audiences. 

Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting customer-bases collection, processing, storage and analytic capabilities and limitations.

REQUIRED: 
Employ some combination (2 or more) of the following skill areas:
1. Foundations: (Mathematical, Computational, Statistical) 
2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
(U//FOUO) Devise strategies for extracting meaning and value from large datasets. 


LCAT QUALIFICATIONS: 

CERTIFICATION:  n/a

EDUCATION + EXPERIENCE LEVEL

Data Scientist, Level 2
• Bachelor’s degree + 3 years relevant experience, OR
• Associates Degree + 5 years relevant experience


Data Scientist, Level 3
• Bachelor’s degree + 10 years of relevant experience, OR
• Associates Degree + 12 years relevant experience


Data Scientist, Level 4
• Bachelor’s degree + 15 years of relevant experience, OR
• Associates Degree + 17 years relevant experience

CSG, Inc. is an Equal Opportunity / Affirmative Action employer that values the strength of diversity in the workplace. All qualified applicants will receive consideration for employment without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.