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Data Analytics Associate Jobs in Chantilly, VA (NOW HIRING)

Data Architect

Vienna, VA ยท On-site

$64 - $82.25/hr

Power BI Data Analyst Associate * Azure Enterprise Data Analyst Associate Responsibilities: * Lead analytics projects independently to discover insights to guide strategic decisions and uncover ...

... Associate o Fabric Analytics Engineer Associate o PowerBI Data Analyst Associate o Azure AI Engineer Associate o Azure AI Fundamentals o Azure Data Scientist Associate o Dynamics 365 Customer ...

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Data Analytics Associate information

See Chantilly, VA salary details

$3.3K

$6.4K

$9.2K

How much do data analytics associate jobs pay per month?

As of Aug 22, 2026, the average monthly pay for data analytics associate in Chantilly, VA is $6,440.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,841.67 and $6,866.67 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the most commonly searched types of Data Analytics jobs in Chantilly, VA?

The most popular types of Data Analytics jobs in Chantilly, VA are:

What cities near Chantilly, VA are hiring for Data Analytics Associate jobs?

Cities near Chantilly, VA with the most Data Analytics Associate job openings:

Infographic showing various Data Analytics Associate job openings in Chantilly, VA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,284 per year, or $37.2 per hour.

Senior Data Analyst with Security Clearance

Data Intelligence LLC.

Quantico, VA โ€ข On-site

$92K - $116K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


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.