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Remote Data Analysis Jobs in Washington, DC (NOW HIRING)

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Delivery Teams are primarily responsible for data analysis/data science work supporting the ...

Fairfax County

Data Analyst III

Fairfax, VA · On-site +1

$88K - $155K/yr

Facilitates data sharing with remote systems and agency transactional systems. Plans, evaluates ... Assists with planning and facilitating user requirement sessions for data analysis, data ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Conduct trend analysis and data modeling to identify patterns, bottlenecks, and risk areas within ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

The position is remote. We offer competitive compensation and an extraordinary benefits package ... Conduct trend analysis and data modeling to identify patterns, bottlenecks, and risk areas within ...

US Federal Solutions

Data Analyst

Washington, DC · Remote

Power Automate Flow Construction Data Analysis * Develop creative methods of joining multiple, disparate datasets to produce meaningful insight * Collaborate with team members to collect and analyze ...

New

US Federal Solutions

Data Analyst

Washington, DC · On-site +1

Power Automate Flow Construction Data Analysis * Develop creative methods of joining multiple, disparate datasets to produce meaningful insight * Collaborate with team members to collect and analyze ...

New

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

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Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Washington, DC? The most popular types of Data Analysis jobs in Washington, DC are:
What are popular job titles related to Remote Data Analysis jobs in Washington, DC? For Remote Data Analysis jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Washington, DC look for? The top searched job categories for Remote Data Analysis jobs in Washington, DC are:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst - Federal Agency - Pipeline

Aalis Management Consulting

Washington, DC • Remote

Full-time

Posted 15 days ago

Job description

About Aalis Management Consulting

Aalis Management Consulting is an 8(a) certified, Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB). Founded by a U.S. Army veteran, Aalis delivers mission-driven consulting support across federal agencies with a focus on data-driven decision support, operational excellence, and mission readiness.

Why Join Aalis
  • Support meaningful federal legal missions.
  • Work remotely while supporting a high-impact government client.
  • Join a veteran-led company committed to excellence and teamwork.
  • Competitive compensation and professional growth opportunities.

Title: Data Analyst
Client: Federal Agency
Location: Remote (Washington, D.C. Area)
Clearance Required: Public Trust
Schedule: Monday – Friday, 8:30 AM – 5:00 PM
Employment Type: Full-Time

Position Overview

We are actively building a pipeline of experienced Data Analysts to support upcoming federal government programs across defense, intelligence, and civilian agencies.

The Data Analyst supports federal government clients by collecting, analyzing, interpreting, and visualizing data to drive informed decision-making. This role requires strong analytical skills, experience working with large datasets, and proficiency in data tools, databases, and reporting platforms.

The ideal candidate has experience supporting federal environments, understands data governance standards, and can translate complex datasets into actionable insights for program leadership and stakeholders.

Key Responsibilities
  • Collect, clean, and analyze structured and unstructured data from multiple federal systems and databases
  • Develop dashboards, reports, and data visualizations to support program and leadership decision-making
  • Perform data validation, quality assurance, and integrity checks
  • Support data modeling, trend analysis, and predictive analytics as required
  • Extract and manipulate data using SQL and other query languages
  • Collaborate with program managers, engineers, and stakeholders to define data requirements
  • Support performance metrics development and reporting (KPIs, SLAs, operational dashboards)
  • Identify data trends, anomalies, and actionable insights
  • Ensure compliance with federal data governance, security, and privacy standards
  • Document methodologies, data sources, and analytical processes
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Mathematics, Economics, or related field
  • 3+ years of experience in data analysis or business intelligence roles
  • Experience supporting federal government or regulated environments preferred
  • Strong SQL skills and experience querying relational databases
  • Experience with data visualization tools (e.g., Power BI, Tableau, or equivalent)
  • Strong analytical and problem-solving skills
  • Ability to interpret complex datasets and present findings clearly to non-technical stakeholders
Preferred Qualifications
  • Experience with Python or R for data analysis
  • Familiarity with cloud-based data platforms (AWS, Azure, GCP)
  • Experience working with large-scale federal data systems or enterprise data warehouses
  • Knowledge of data governance, data quality frameworks, and metadata standards
  • Experience with ETL processes and data pipeline concepts
  • Federal consulting or contractor experience strongly preferred
Tools & Technologies (Preferred Experience)
  • SQL (advanced querying and optimization)
  • Power BI, Tableau, or similar BI tools
  • Python (Pandas, NumPy, etc.) or R
  • Excel (advanced functions, pivot tables, modeling)
  • Relational databases (SQL Server, Oracle, PostgreSQL, etc.)
  • Data warehousing environments
  • Cloud platforms (AWS, Azure, or GCP – preferred

Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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