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

TLA-LLC

Data Analyst

Mclean, VA

... Associate Google Data Analytics Professional Certificate Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

TLA-LLC

Data Analyst

Mclean, VA · On-site

... Associate • Google Data Analytics Professional Certificate • Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms) Requirements ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

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All JobsData Analytics Associate JobsData Analytics Associate Jobs in Chantilly, VA

Data Analytics Associate information

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$9.2K

How much do data analytics associate jobs pay per month?

As of Jul 26, 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 is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

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.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

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

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.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
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:
Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Chantilly, VA as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $77,284 per year, or $37.2 per hour.
Associate Director, Data Analytics

Associate Director, Data Analytics

Supernus Pharmaceuticals, Inc.

Rockville, MD • On-site

Full-time

Posted 26 days ago

Job description

Job Summary:
Supernus Pharmaceuticals is an award-winning biopharmaceutical company with more than 30 years of experience in developing and commercializing products that treat central nervous system (CNS) diseases. The Associate Director, Data Analytics defines and executes study-level data and analytics strategies for monitoring clinical study conduct and performance, leading the analytics team to transform complex data into meaningful insights.
Responsibilities:
• Define and execute the clinical study level data and analytics strategy to align with clinical development and operational objectives.
• Establish standards for data integration, metric definition, visualization design, and reporting consistency across studies.
• Lead the design, implementation, and continuous enhancement of the clinical analytics platform (using, e.g., Power BI or other visualization tools).
• Lead cross-functional consensus on key metrics and supervise dashboard development to ensure usability, scalability, and relevance to each clinical study.
• Drive automation and optimization of analytics workflows to reduce manual reporting.
• Deliver study-level analytics that support risk-based monitoring (RBM), data quality oversight, enrollment tracking, protocol compliance, and operational performance.
• Identify trends, risks, and opportunities through advanced analytics and visualization techniques.
• Manage and/or mentor team members in data visualization best practices, analytical methodologies, and business communication.
• Other duties as assigned.
Qualifications:
Required:
• Master’s degree with at least 9 years OR Bachelor’s degree with at least 11 years of experience in clinical and/or operational data analytics
• Strong expertise in Power BI for enterprise-level data visualization
• Demonstrated experience in translating complex clinical and operational data into actionable insights for cross-functional stakeholders
• Proven experience building centralized data warehouse systems that store and integrate large volumes of structured data from multiple sources (e.g., EDC systems, CTMS, Safety databases)
• Proven ability to lead and develop analytics teams while driving cross-functional alignment
• Strong communication and executive presentation skills, with the ability to influence decision-making
• Ability to work independently and as part of a team and maintain high ethical standards of integrity and quality
• Ability of having an innovative and dynamic approach to work
• A self-starter able to work independently but comfortable working in a team environment
• Ability to consistently exhibit Supernus Values in interactions with employees at all levels of the organization, vendors, customers and others
• Capable of performing other duties as assigned by Management
• Authorized to legally work in the United States without visa sponsorship
• Sedentary work. Exerting up to 10 pounds of force occasionally and/or carrying objects. Sedentary work involves sitting most of the time
• The worker is required to have close visual acuity to perform an activity such as preparing and analyzing data and figures; transcribing; viewing a computer screen, iPad, or other electronic device; and extensive reading
• The worker is not substantially exposed to adverse environmental conditions
Preferred:
• Experience with other tools such as Tableau is a plus
• Proficiency in SQL and/or statistical programming (e.g., R, SAS) preferred
• Experience with automation, predictive analytics, or AI/ML applications is a plus
Company:
Supernus Pharmaceuticals, Inc. Founded in 2005, the company is headquartered in Rockville, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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