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Associate Data Analyst Jobs in Reston, VA (NOW HIRING)

Associate Data Scientist

Washington, DC ยท On-site

$124K - $207K/yr

As an Associate Data Scientist you will be responsible for analyzing data, interpreting results ... Data analysis, filtration and quality assurance. Development of high quality Data Products to ...

Data Analyst

Arlington, VA ยท Hybrid

$100K - $124K/yr

CASP+ CE, CCNP Security, CEH, CFR, CHFI, CISA, CISSP (or Associate), Cloud+, CND, CySA+, GCED, GCIH, GICSP, SSCP * Experience using Python and Pandas for data analysis and transformation.

Data Analyst

Arlington, VA ยท On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... Associate degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Principal Data Scientist Principal Associate,Data Scientist - Business Card and Payments Data is at ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...

Use data and process analytic techniques to identify dependencies between IT systems and ... Department of Education or Bachelor's degree and 14 years of relevant experience, or an Associate ...

Principal Data Scientist Principal Associate, Data Scientist - Business Card and Payments Data is ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...

Data Analyst

Bethesda, MD ยท On-site

$82K - $128K/yr

... of experience Associate's degree with 7 years of experience OR High-School with 10 years of ... Experience in data repository management and reporting, data analytics review, and data system ...

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Associate Data Analyst information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do associate data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for associate data analyst in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

What are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Reston, VA? The most popular types of Data Analyst jobs in Reston, VA are:
What are popular job titles related to Associate Data Analyst jobs in Reston, VA? For Associate Data Analyst jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Associate Data Analyst jobs? Cities near Reston, VA with the most Associate Data Analyst job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Data Analyst

Company Overview:

The Intelligence and Security Associates (ISA) is a Virginia-based SBA certified Service-Disabled Veteran-Owned Small Business. ISA is a proud V3-certified employer, with one in two ISA employees having served in the U.S. military. Additionally, ISA holds a General Services Administration (GSA) Multiple Award Schedule (MAS) contract, and One Acquisition Solution for Integrated Services + (OASIS+) Total Small Business Pool Contract Vehicle.

Originally founded as an education and training company, ISA continues a 20-plus-year tradition of providing value creation for our clients, delivering unique solutions tailored to their specific challenges across a broad range of national security issues and competencies.

Our highly qualified subject matter professionals, data and technical experts, and our seasoned senior leaders specialize in national security and intelligence delivery services for the Department of War (DoW), the Intelligence Community (IC), and other federal and commercial entities. Our extensive Program of Work includes broad areas of Mission Engineering & Systems Integration, Strategic Advantage & Warfighter Support, and Operational Enablers to federal government and commercial entities across the defense and national security sectors.

Job Description:

Assesses complex data systems and programs in support of ad-hoc and standing management or customer requests. Creates programs, methodologies, and files for analyzing and presenting data. Examines data quality, applications, and functions. Produces output and sustains operation. Researches new data sources and analytical tools. Contributes to new product development and improvement in product delivery and presentation. Develops awareness of and familiarity with issues and events affecting organization, department, and/or customer. Uses and supports database applications and analytical tools. Uses timely and appropriate participation of users/customers in data collection and query systems.

Work Model:

Our people-first culture prioritizes the benefits of flexibility and collaboration. Consistent with government and industry standards that support a more fulsome return to in-office culture, ISA supports our clients and provides a working environment that promotes professional development opportunities through peer engagement and face-to-face mentoring. The ability to meet across teams at the office and cross-pollinate information is critical to our success.

Responsibilities:

A Data Analyst transforms raw data into actionable insights. They collect, clean, and analyze data to identify trends and patterns. They create visualizations and reports, communicating findings to stakeholders. They use statistical methods and tools to answer business questions and support decision-making. They collaborate with teams to understand data needs and develop solutions. Their work helps organizations optimize processes, improve efficiency, and drive strategic growth.

Duties:
  • Gather data from various sources (databases, spreadsheets, APIs).
  • Clean and preprocess data to ensure accuracy and consistency.
  • Identify and correct data errors and inconsistencies.
  • Analyze data to identify trends, patterns, and insights.
  • Use statistical methods and tools to analyze data.
  • Interpret data and draw meaningful conclusions.
  • Create visualizations (charts, graphs, dashboards) to present data effectively.
  • Develop reports and presentations to communicate findings to stakeholders.
  • Summarize and present data in a clear and concise manner.
  • Develop and maintain data models.
  • Design and manage databases.
  • Ensure data integrity and security.
  • Develop and maintain business intelligence dashboards and reports.
  • Provide insights to support business decision-making.
  • Identify opportunities for process improvement.
  • Monitor data quality and ensure accuracy.
  • Develop and implement data quality control procedures.
  • Identify and address data quality issues.
  • Collaborate with cross-functional teams to understand data needs.
  • Communicate data insights and recommendations to stakeholders.
  • Provide technical support and guidance on data-related matters.
  • Work with business users to determine their data and reporting needs.
  • Document requirements and translate them into technical specifications.
Other Duties:

Duties, responsibilities, and activities can change at any time based on position requirements. These changes will be communicated by your supervisor.

Supervisor Responsibilities:

None.

Clearance Required:

Applicants must have at least an active Secret clearance and be able to obtain a clearance at the TS/SCI level. Preference will be given to those who have an active TS/SCI clearance. Applicants must be able to submit documentation establishing U.S. Person status upon hiring. All ISA employees are required to uphold and maintain trustworthiness and suitability requirements of the U.S. federal government.

OR

As a condition of employment, ISA employees are expected to have or be eligible for a Secret-level security clearance with the ability to obtain a Top Secret (TS) clearance with eligibility for access to Sensitive Compartmented Information (SCI). Applicants must be able to submit documentation establishing U.S. Person status upon hiring. All ISA employees are required to uphold and maintain trustworthiness and suitability requirements of the U.S. federal government.

Experience Required:

Experience should include but is not limited to working knowledge of:

  • Proven experience in analyzing data and identifying trends.
  • Experience using statistical methods and tools.
  • Ability to interpret data and draw meaningful conclusions.
  • Proficiency in data analysis tools (e.g., SQL, Python, R).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with database management systems (e.g., MySQL, PostgreSQL).
  • Experience with spreadsheet software (e.g., Excel).
  • Experience in data cleaning, preprocessing, and transformation.
  • Ability to handle large datasets and identify data quality issues.
  • Excellent written and verbal communication skills.
  • Ability to present data findings in a clear and concise manner.
  • Experience in creating reports and presentations.
  • Strong analytical and problem-solving skills.
  • Ability to think critically and develop creative solutions.
  • Understanding of business principles and practices.
  • Ability to translate business requirements into data analysis projects.
  • Experience in providing data-driven insights to support business decisions.
  • Knowledge of database design and management.
  • Experience writing SQL queries to extract and manipulate data.
  • Understanding of statistical concepts and methods.
  • Experience in applying statistical techniques to data analysis.
Education:
  • Bachelor's degree in statistics, mathematics, computer science, business, or any other related field (Required). A master's degree in a related field is preferred.
  • New graduates with relevant internship experience will work well in entry-level roles.
  • For senior levels, certification and relevant experience in a managerial position is an added advantage.
Certification:

None required.

Compensation:

At ISA, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include 401(k) matching, PTO, paid Federal holidays, Life Insurance, Medical, Dental and Vision insurance, FSA/HSA options, professional development opportunities, and work-life programs. Our annual review program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time employees working at least 30 hours a week on a regular basis are eligible to participate in ISA's full benefit program. Part-time employees that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting https://www.isallc.net/isahrdownloads.

Salary at ISA is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The salary range for this position varies dependent on years of experience, relevant certifications and education. Salary is just one component of ISA's total compensation package for employees.

Starting Salary Ranges:

  • Data Analyst: $00.00
Anti-Discrimination Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, transgender status, and sexual orientation), national origin, age (40 or older), disability, genetic information, or status as a protected veteran.