ZipRecruiter

Log In

3

Full Time Remote Data Analyst Jobs in Washington, DC

DarkStar Intelligence LLC

Data Analyst

Washington, DC · Remote

$95K - $112K/yr

Description DATA ANALYST Location: Washington, DC | Type: Full-Time | Clearance: TS/SCI + CI ... Work Environment: Full-time support in the Washington, DC area with limited remote work based on ...

CPMC LLC

Data Analyst

Tysons Corner, VA · Remote

Capital Area Work Location: 100% Remote Telework (U.S.-based) Employment Type: Full-Time / W-2 ... Respond to HHS/ORR and CPMC PMO data calls with accurate, auditable, welldocumented analyses.

Moore

Data Analyst

Lanham, MD · Remote

As a Data Analyst , your focuswill be on collecting,analyzing, and interpreting marketing data to ... remote

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

The Rehancement Group

GSA Data Analyst 1

Fairfax, VA · Remote

GSA Data Analyst 1The Rehancement Group, Inc. (TRG) is a professional services and consulting ... This position is telework/remote, full-time: 8 hours per day/ Monday-Friday (40hr/week). GSA Laptop ...

BOOZ, ALLEN & HAMILTON, INC.

Data Analyst

Arlington, VA · On-site +1

$62K - $141K/yr

Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

next page

Showing results 1-20

All JobsData Analyst JobsFull Time Remote Data Analyst JobsFull Time Remote Data Analyst Jobs in Washington, DC

Full Time Remote Data Analyst information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do full time remote data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for full time remote data analyst in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

What is a full time remote data analyst?

A Full Time Remote Data Analyst is a professional who works from a location outside the traditional office environment, usually from home, and is employed on a full-time basis. Their main responsibility is to collect, process, and analyze large sets of data to help organizations make informed decisions. They use statistical tools and software to interpret data trends, create reports, and present findings to stakeholders. Remote data analysts collaborate with teams via digital communication tools and may work with data from various industries, such as finance, healthcare, or technology. This role requires strong analytical skills, attention to detail, and proficiency with data analysis software.

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

To thrive as a Full Time Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Experience with data visualization tools (e.g., Tableau, Power BI), programming languages (e.g., Python, R), and advanced Excel functions is typically required. Excellent communication, self-motivation, and time management are standout soft skills for remote collaboration and clear reporting. These abilities are crucial for delivering actionable insights, maintaining productivity, and ensuring data-driven decision-making in a remote work environment.

What are some common challenges faced by full time remote data analysts, and how can they be addressed?

One common challenge for full-time remote data analysts is maintaining clear communication and collaboration with team members who may be in different locations or time zones. To overcome this, it's important to proactively schedule regular check-ins, leverage collaborative tools (like Slack, Teams, or project management platforms), and document your work thoroughly for transparency. Additionally, remote analysts often need to manage their own time effectively and set boundaries to prevent burnout. Staying organized and maintaining a healthy work-life balance are essential for long-term success in this role.

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

AspectFull Time Remote Data AnalystFull Time Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or higher in Data Science, Computer Science, or related; often includes certifications in Python, R, or machine learning
Work EnvironmentRemote, collaborative with teams, using data analysis toolsRemote, often involves complex modeling, coding, and advanced analytics
Industry UsageBusiness, finance, marketing, healthcareTech, finance, research, AI development

Full Time Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Data Scientists develop predictive models and advanced algorithms. Both roles are remote and require analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What are the most commonly searched types of Remote Data Analyst jobs in Washington, DC?

The most popular types of Remote Data Analyst jobs in Washington, DC are:

Full Time Remote Data Analyst jobs near you

Data Analyst (Full-time, Remote)

Integrity Management Services, Inc.

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

About Us
http://www.integritym.com
Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.
At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!
Description:
In this role, the Data Analyst will provide analytical data support through data extraction, transformation, and analysis utilizing Python, SQL, and other statistical and data engineering tools. The Data Analyst will support data integration, ETL processes, reporting, and advanced analytics while working independently and collaboratively with project stakeholders to develop high-quality, data-driven solutions.
Job Responsibilities:
Business Analysis and Data Modeling
  • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements.

  • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions.

  • Build and apply complex analytical models and data solutions using tools such as Python, Snowflake, Databricks R, SQL and SAS to address project-specific requirements and support operational decision-making.

  • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for improving business operations.

  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms.

  • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance activities to ensure the accuracy and integrity of analytical datasets.

Client Engagement and Reporting
  • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives.

  • Interpret business data and translate findings into clear, meaningful insights for diverse audiences, including technical and non-technical stakeholders.

  • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions.

Collaboration and Communication
  • Participate in team projects and brainstorming sessions to evaluate methodologies and study designs that support program goals.

  • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users.

  • Research best practices and supports developing the solutions and recommendations for the current business operations.

  • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).

  • Provides business data interpretation.

  • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the course of business and/or contract operations.

  • Ensures compliance with all applicable privacy and security training requirements (both IntegrityM and external/client-based), whether on an annual or ad/hoc basis.

Requirements
  • Minimum of a Bachelor's Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework.
  • Possesses at least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions.
  • Strong proficiency in Python, R, SQL, and SAS, with experience utilizing cloud-based data platforms such as Snowflake and Databricks to support data analysis, project requirements, reporting, automation, and operational decision-making.
  • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms.
  • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives.
  • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment.
  • Responds to tasks or requests in a cooperative and timely manner.
  • Demonstrates adaptability to change and initiates or identifies change when necessary.
  • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences.
  • Work collaboratively with team members to meet the needs of the organization.
  • Willingness to work collaboratively with team members on multiple tasks concurrently.
  • Independently can make good judgments and decisions without a high degree of supervision.
  • Detail-oriented and able to work under deadlines.
  • Ability to take initiative, to maintain confidentiality, to meet deadlines, and to work in a team environment.
  • Ability to report work activity on a timely basis.
  • Ability to multitask and prioritize assignments while meeting deadlines.
  • Must pass post hire background screening checks.
  • For remote work, required to have wired and/or wireless internet access.
  • Ability to obtain security clearance, if required by Client/Contract.

Benefits
This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.
U.S. remote annual salary range: $55,000-$85,000/annual
For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Apply