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

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Senior Data Analyst

Washington, DC · Remote

$110K - $130K/yr

Performance/Data Analyst III (Key Personnel) Employment Type: Full-Time with Benefits Work Authorization: Must be legally authorized to work in the United States. U.S. Citizenship required (by birth ...

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Senior Data Analyst

Washington, DC · Remote

$110K - $130K/yr

Performance/Data Analyst III (Key Personnel) Employment Type: Full-Time with Benefits Work Authorization: Must be legally authorized to work in the United States. U.S. Citizenship required (by birth ...

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The Data Evaluator/Analyst transforms raw data into actionable insights, ensuring DOE receives ... Benefits MELE Offers · Hybrid remote/office work environment. · Employer-paid employee Medical ...

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Remote Data Analyst information

See Silver Spring, MD salary details

$35K

$85.2K

$140.2K

How much do remote data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data analyst in Silver Spring, MD is $85,170.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $100,000.00 per year, depending on experience, location, and employer.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

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 Remote Data Analyst jobs in Silver Spring, MD? For Remote Data Analyst jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Analyst jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Analyst jobs? Cities near Silver Spring, MD with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Silver Spring, MD as of May 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 21% Physical, 9% Hybrid, and 70% Remote job distribution, with an average salary of $85,170 per year, or $40.9 per hour.
Senior Data Analyst

Senior Data Analyst

EIGENNET LLC

Washington, DC • Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 2 days ago

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Job description

Job Title: Performance/Data Analyst III (Key Personnel)

Employment Type: Full-Time with Benefits

Work Authorization: Must be legally authorized to work in the United States. U.S. Citizenship required (by birth or naturalization) due to federal security clearance and background investigation requirements.

Work Mode: Onsite at DOJ facilities in the Washington, DC area (JMD/OCIO or National Coordination Center). Classified work must be performed at U.S. Government facilities.

Security Clearance & Compliance Requirements: Active Secret clearance required at a minimum. Top Secret / SCI eligibility may be required for select positions. Employment is contingent upon successful completion of DOJ background investigation and favorable adjudication determination.

Position Overview:

The Performance/Data Analyst III supports the U.S. Department of Justice (DOJ), Justice Management Division (JMD), Office of the Chief Information Officer (OCIO), in delivering advanced analytics, Management Information System (MIS) support, and performance reporting services for the Homeland Security Task Force (HSTF).

This role focuses on integrating, analyzing, and visualizing investigative and operational data from multiple federal agencies to support investigative targeting, operational decision-making, resource allocation, and executive reporting requirements. The analyst will develop predictive models, dashboards, statistical reports, and analytical products used by DOJ leadership, Congress, and interagency stakeholders.

The position operates within a federal law enforcement and intelligence-support environment requiring strong analytical, technical, and communication capabilities.

Responsibilities:

  • Collect, validate, process, integrate, and analyze investigative and performance data from HSTF-designated cases.
  • Acquire, clean, and merge datasets from DOJ MIS, FBI, DEA, HSI, ATF, IRS-CI, USAO, and other partner agency systems.
  • Develop and maintain Extract-Transform-Load (ETL) pipelines to support automated ingestion and transformation of interagency datasets.
  • Build predictive analytics and machine learning models to support investigative prioritization and operational decision-making.
  • Conduct network analysis to identify high-value targets, facilitators, and financial relationships within criminal enterprises.
  • Develop, maintain, and enhance Tableau dashboards and data visualization products for executive and operational audiences.
  • Produce statistical summaries, trend analyses, and performance reports related to investigative outcomes, seizures, forfeitures, and operational metrics.
  • Prepare quarterly performance reports and ad-hoc analytical summaries for DOJ leadership, Congress, and partner agencies.
  • Conduct MIS data quality audits and develop dashboards identifying data anomalies and remediation recommendations.
  • Document database schema, transformation logic, business rules, and data governance procedures.
  • Support operational briefings and provide clear analytical summaries from complex datasets.
  • Coordinate transition-in and transition-out activities involving systems, documentation, licenses, and institutional knowledge transfer.
  • Submit monthly status reports summarizing activities, accomplishments, risks, and recommended solutions.
  • Ensure compliance with DOJ data governance, privacy, security, and information handling requirements.

Experience Required:

  • Minimum three (3) years of experience in applied data science, analytics, business intelligence, or related analytical roles.
  • Experience working with large datasets, investigative data, law enforcement systems, or statistical reporting environments.
  • Experience using Python, R, SQL, Excel, Tableau, or equivalent analytical and visualization tools.
  • Experience constructing queries and performing data extraction, transformation, and analysis activities.
  • Experience developing ETL pipelines and integrating data from multiple source systems.
  • Experience creating dashboards, reports, statistical summaries, and trend analysis products for operational or executive audiences.
  • Experience supporting federal law enforcement, investigative, intelligence, or interagency operational environments preferred.

Preferred Skills:

  • Familiarity with DOJ Management Information Systems (MIS) and interagency case management environments.
  • Experience supporting DOJ, FBI, DEA, HSI, ATF, IRS-CI, USAO, or other federal investigative organizations.
  • Knowledge of predictive analytics, machine learning, and statistical modeling techniques.
  • Experience conducting network/link analysis involving criminal enterprises, facilitators, or financial flows.
  • Understanding of DOJ data governance, privacy, and information security requirements.
  • Ability to migrate Tableau dashboards to alternate visualization platforms when required.
  • Strong analytical and problem-solving skills with ability to synthesize complex datasets into actionable intelligence products.
  • Strong written and verbal communication skills suitable for executive and interagency reporting environments.
  • Ability to work collaboratively within federal law enforcement and intelligence community teams.

Educational Qualifications:

  • Bachelor’s degree required in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or related quantitative field.
  • Master’s degree in Data Science, Computer Science, Statistics, Analytics, or related field preferred.

Certifications (Preferred):

  • Tableau Certification
  • Microsoft Power BI Certification
  • Certified Analytics Professional (CAP)
  • Relevant data science, machine learning, or business intelligence certifications
  • Federal law enforcement or intelligence community analytical training preferred

Key Skills Summary:

  • Advanced data analytics and statistical reporting
  • Predictive analytics and machine learning
  • Python, R, SQL, Excel, Tableau
  • ETL pipeline development and data integration
  • Dashboard development and visualization
  • Investigative and operational data analysis
  • Network/link analysis
  • Federal law enforcement and interagency analytical support
  • Executive reporting and briefing support
  • DOJ data governance and information security compliance

Work Environment & Operational Requirements:

  • Standard federal full-time work schedule with onsite support at DOJ facilities in the Washington, DC area.
  • Classified and sensitive information must be handled exclusively within authorized government facilities.
  • Domestic and international travel may be required on a case-by-case basis with COR approval.
  • Government-furnished equipment and secure system access provided.
  • Work involves handling sensitive law enforcement and investigative information requiring strict adherence to DOJ security, privacy, and confidentiality policies.
  • Replacement personnel must be available for unplanned absences to ensure uninterrupted support coverage.