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

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Data Analysis information

See Silver Spring, MD salary details

$35.1K

$85.4K

$140.6K

How much do data analysis jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data analysis 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 Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks such as data cleaning, visualization, and basic reporting, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role is evolving to include skills in machine learning, programming, and data storytelling, making human expertise crucial alongside AI capabilities.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, mastering advanced techniques or gaining extensive experience typically requires longer, and success depends on prior background, dedication, and access to quality training resources.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

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 statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.
What are the most commonly searched types of Data Analysis jobs in Silver Spring, MD? The most popular types of Data Analysis jobs in Silver Spring, MD are:
What are popular job titles related to Data Analysis jobs in Silver Spring, MD? For Data Analysis jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Analysis jobs in Silver Spring, MD look for? The top searched job categories for Data Analysis jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Analysis jobs? Cities near Silver Spring, MD with the most Data Analysis job openings:
Data Analysis jobs near you

Fall Intern: Data Analysis & AI Policy

AEI

Washington, DC • On-site

Internship

Posted 10 days ago

Job description

The American Enterprise Institute’s Center for Technology, Science, and Energy (CTSE) seeks a driven, research-oriented intern. 

The intern will work closely with Senior Fellow M. Anthony Mills and CTSE staff to support the team’s cutting-edge research at the intersection of data, public opinion, technology policy, and morality in the age of AI. The data intern will perform a variety of tasks related to processing novel survey data about Americans’ attitudes toward AI: 

  • retrieving data;
  • analyzing and drawing meaningful interpretations between multiple questions and variables; 
  • creating visualizations and written reports to communicate results;
  • editing and drafting report materials based on survey findings;
  • translating survey findings to a data dashboard on the CTSE website;
  • providing background research for related reports and scholarly publications;
  • organizing and assisting with the execution of CTSE conferences and seminars.

The ideal candidate will possess excellent research abilities, proficiency in Stata and R, experience with data analysis & visualization, knowledge of American political institutions and current events, strong writing and editing skills, attention to detail, an interest in science & technology policy, strong interpersonal skills, and general curiosity. Candidates who are able to participate in the program on an in-person basis for 20-40 hours a week are encouraged to apply.

About AEI Internships

AEI internships offer a unique opportunity for undergraduates, graduate students, and recent graduates to gain experience in research, writing, business, and communications at one of the nation’s leading think tanks. Competitive candidates will generally have a GPA of 3.5 or higher from a top-ranking college or university. AEI’s internship program runs for 12 weeks and all related programming will take place in-person in Washington, DC. Please see the internship program home page for updates about the program.

The fall program dates are either Tuesday, September 8, to Friday, December 4, or Tuesday, September 15, to Friday, December 11.


Apply