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Data Analyst Jobs in Silver Spring, MD (NOW HIRING)

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

Position Overview ANSER is seeking a skilled Data Analyst to support an Office of the Secretary of War (OSW) client. In this role, you will leverage data analytics, business intelligence, and ...

Data Analyst Banking (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

Data Analyst Retail & E-Commerce (2 3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Retail & E-Commerce to support reporting and analytics for retail ...

Data Analyst Location: Washington DC (Locals only) Duration: 6+ Months Note: Need Locals for F2F. Visa: Any visa is fine except OPT. Data Analysis is the art of collecting and analyzing data so that ...

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data ...

Data Analyst

Washington, DC · On-site

$85K - $115K/yr

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Client seeks to hire a Data Analyst resource to provide data analysis and management support. Must have at least 10 years overall in Data Analyst experience. Complete Description: The role of the ...

Data Analyst * SME * MicroStrategy * Business Objects * Tableau TITLE: Data Analyst LOCATION: Washington DC/ Onsite MINIMUM EDUCATION: Bachelor's degree in IT, related field, or equivalent experience.

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

The role of the Data Analyst is to provide data analysis support for the Office of the Chief Information Officer, which is located within the Office of the Chief of Staff. This is a highly skilled ...

Use sophisticated data analysis methods to support project team in creating deliverable for client * Work with clients to devise methods to optimize data capturing schemes and overall program ...

PotomacWave is looking for a Data Analyst to join our team supporting a Federal client in Washington, DC. This position will support the Office of Intelligence and Counterintelligence. This role ...

Data Analyst

Vienna, VA · Hybrid

$104K - $134K/yr

Overview BRMi is seeking a Data Analyst to support our customer's Lending Data Governance function by delivering advanced analytics, business intelligence, and data quality capabilities that enable ...

New

Data Analyst

Washington, DC · On-site

$39 - $42/hr

The Client is looking for a Data Analyst/IT Consultant to support the agency case management data reporting, IT support and system analysis needs Complete Description: The District of Columbia Client ...

The Data Analyst will support enterprise data modernization, reporting, analytics, and process improvement initiatives across multiple business lines. This position aligns to the Engineer 2 ...

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Showing results 1-20

Data Analyst information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

How much do data analyst jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data analyst in Silver Spring, MD is $85,431.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Silver Spring, MD? The most popular types of Data Analyst jobs in Silver Spring, MD are:
What are popular job titles related to Data Analyst jobs in Silver Spring, MD? For Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Silver Spring, MD look for? The top searched job categories for Data Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Analyst jobs? Cities near Silver Spring, MD with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Silver Spring, MD as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $85,431 per year, or $41.1 per hour.

Full-time

Posted 10 days ago


Job description

Overview

Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.  

The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.

The Critical Infrastructure Group (CIG) within JOID provides technical, programmatic and analytical support to customers with missions in national security to include the Department of Homeland Security (DHS), Health and Human Services (HHS), and the Federal Aviation Administration (FAA). The Group brings technical and operational expertise in fields of countering weapons of mass destruction, critical infrastructure protection, emergency response, nuclear non-proliferation, weapons deployment programs, and transportation safety. In addition to management and advisory services, CIG staff collaborate closely with our clients to provide high-quality modeling, simulation, software, and analytical products to meet the most demanding government standards and timelines.

SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia.

Responsibilities

The candidate will work with a team of data architects, data analysts, and cost analysts to support the Department of Homeland Security in developing and implementing a data management and analysis solution for government cost and acquisition analysts. Will apply rational, systematic, science-based techniques, advanced analytical methods, and critical thinking to help inform clients and to improve decision-making in complex processes.  Obtain, integrate, and report client data, and develop and apply analytic methodologies and principles. Lead the application of analytic techniques and help define project objectives and strategic direction. Resolve complex problems which require an in-depth knowledge of analytic methodologies and principles. Create and promulgate data collection templates, maintain databases, and work with various analytical tools. Analyze acquisition data, formulate conclusions and recommendations, design and develop materials, and evaluate effectiveness in accordance with stated guidelines, speculations, and models. Conduct research, data gathering, and technical reviews. Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing, and implementation activities. Troubleshoot issues in reports related to data and assimilating, integrating, and interfacing technical knowledge with business/system requirements. Manage client relationships and expectations.

Qualifications

Required:

  • U.S. Citizen and eligible for a DHS suitability clearance
  • 2+ years of professional experience in the area of data science or data engineering
  • Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours in quantitative analysis
  • Validated analytical, creative, and effective problem solving skills, with the ability to present solutions both in written and oral format
  • Solid understanding of applying mathematical, statistical, econometric, and other scientific methods to real world problems

Desired: 

  • Experience using R, Tableau, or Power BI
  • Experience using ACEIT
  • Active DHS suitability or DoD Secret clearance
  • Experience with DoD or Coast Guard acquisition programs
Employment Type: FULL_TIME