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Remote Data & Analytics Jobs in Reston, VA (NOW HIRING)

Booz Allen Hamilton

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Booz Allen Hamilton

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

System One

Technical Data Steward - remote

Vienna, VA · Remote

$64 - $80/hr

This is a long term, remote contracting position for candidates who live in the United States. We ... The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

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All JobsRemote Data & Analytics JobsRemote Data & Analytics Jobs in Reston, VA

Remote Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do remote data & analytics jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for remote data & analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

What job categories do people searching Remote Data & Analytics jobs in Reston, VA look for? The top searched job categories for Remote Data & Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Data & Analytics jobs? Cities near Reston, VA with the most Remote Data & Analytics job openings:
Remote Data Analytics jobs near you
Infographic showing various Remote Data & Analytics job openings in Reston, VA as of June 2026, with employment types broken down into 3% As Needed, 51% Full Time, 43% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,469 per year, or $57 per hour.
Clinical Research Data and Analytics Manager (Hybrid)

Clinical Research Data and Analytics Manager (Hybrid)

The Geneva Foundation

Bethesda, MD • On-site

$105K - $115K/yr

Full-time

Posted 8 days ago

Job description

About the Position:
The Data and Analytics Manager is responsible for leading the day-to-day functions of a core Data & Analytics team providing centralized data coordination and data analysis services for a large research portfolio. Reporting to the Senior Manager of Regulatory Affairs & Data, this role directly oversees a small, dedicated team (including a Clinical Data Manager and a Data Management Analyst) supporting a robust portfolio of 65+ active multi-site research studies, including federally funded, FDA-regulated and industry-sponsored clinical trials, across military treatment facilities, academic institutions, and other sites nationwide. This position works cross-organizationally to ensure the on-time execution of high-quality and compliant research, proper documentation of procedures, accurate data reporting, and assures real-time data access for the investigator(s) and staff.
In this dynamic position, you will manage the day-to-day data management and analysis pipeline, act as the Subject Matter Expert (SME) for internal and external stakeholders, as well as execute on your own data management, quality control (QC), and data analysis activities. A strong candidate will be a versatile professional who is equally comfortable developing and executing high-level strategy, effectively delegating and empowering their staff, and rolling up their sleeves to troubleshoot a formula, run analyses, draft/negotiate data sharing agreements, or build a database.
Work Location:
This is a hybrid - remote role supporting a program based out of the Uniformed Services University in Bethesda, MD, with research performance sites located across the continental United States. A comprehensive government background check will be administered.
About the Program:
The Musculoskeletal Injury Rehabilitation Research for Operational Readiness (MIRROR) Program was established to support the execution of clinically relevant research to advance the care of service members with non-combat related musculoskeletal injury (MSI). Headquartered at the Uniformed Services University of the Health Sciences (USU) in Bethesda, MD, MIRROR provides coordination and support of inter-service and inter-disciplinary partnerships across military treatment facilities (MTFs), military training centers (MTCs), and civilian academic centers to execute cutting-edge research in order to mitigate the burden of MSI on military readiness. The MIRROR portfolio currently consists of 65+ active projects.
Salary Range
$105,000 - $115,000. Salaries are determined based on several factors including external market data, internal equity, and the candidate's related knowledge, skills, and abilities for the position.
Qualifications:
  • Bachelor's degree in a scientific, informatics, or relevant field required. Master's degree, equivalent work experience, or relevant professional certification strongly preferred.
  • 3-5 years' professional experience in clinical research data management, clinical trials, or a data coordinating center environment required. Previous research conduct experience highly desired.
  • 1-2 years in team management, leadership, or direct supervisory experience required.
  • Must possess a strong working knowledge of clinical research data compliance, including requirements for FDA-regulated clinical trials, IRB requirements for human subjects protections, and general best research practices.
  • Must have demonstrated experience building complex, longitudinal, multi-arm electronic clinical research databases required. Experience using REDCap is strongly preferred.
  • Must have demonstrated experience with cleaning, analyzing, and presenting real-time data and metrics.
  • Must have a strong understanding of data visualization principles and the ability to build or troubleshoot business intelligence dashboards. Experience with PowerBI strongly preferred.
  • Experience executing or navigating data agreements (e.g. data use agreements, data sharing agreements, etc.) as they pertain to data privacy and security is highly desired.
  • Must be organized, attentive to details, and possess an exceptional diplomatic and professional communication skills. Must have the ability to successfully build relationships with key stakeholders and to effectively communicate requirements for data and analytics systems as well as translate technical data requirements to non-technical stakeholders.
  • Must thrive in a fast-paced environment with shifting priorities, multiple moving targets, and strict timelines.

Management Responsibilities:
  • Supervise the day-to-day activities of assigned data management & analytics team program staff. Provide direction, address questions, and provide skills/knowledge transfer. Oversee workload and productivity.
  • Oversee clinical data management and analytical team staff in the execution of data operations, quality assurance cycles, and technical deliverables across the study portfolio while ensuring professional growth and alignment with program timelines.
  • Provide regular summaries and updates to Program Supervisor.
  • Plan and facilitate individual and team meetings.
  • Lead performance review processes for assigned data team staff.
  • In collaboration with Geneva People Operations and Program Supervisor, conduct counseling and corrective action, as appropriate.

Job Responsibilities:
  • Ensure data capture, management, sharing, and analysis compliance of assigned research.
  • Maintain oversight of data management and analysis needs across a large portfolio of clinical research studies, effectively delegating tasks and tracking project timelines.
  • Lead and mentor a team of data professionals. Act as a hands-on backstop to execute technical tasks (e.g., database builds, QC cycles, dashboard creation) during team absences or high-volume periods to ensure strict adherence to deadlines.
  • Contribute to the development, refinement, standardization, and dissemination of clinical data management workflows, SOPs, and cross-functional processes within the broader research program.
  • Serve as the primary representative and subject matter expert (SME) for the Data & Analytics Team in high-level meetings with a diverse mix of stakeholders, including program leadership, institutional leadership, partners, and industry sponsors.
  • Partner with study investigators and external collaborators to provide expert guidance on data collection strategies, data entry protocols, monitoring/QC plans, and data sharing requirements.
  • Participate in early-stage study development meetings to align data strategies with protocol requirements prior to execution.
  • Review and advise on the development of Case Report Forms (CRFs) for compliance, data integrity, and database compatibility, providing formal endorsement prior to IRB submission.
  • Oversee the drafting, application, and compliance management of Data Sharing Agreements (DSAs) and Data Use Agreements (DUAs).
  • Direct and participate in rigorous QC cycles to identify analytical anomalies and protect against the exposure of PII/PHI within research databases.
  • Support the translation of raw research data into knowledge products, including data analysis for manuscripts, abstracts, and statistical tables.
  • Oversee the design and maintenance of real-time study visualization dashboards to provide stakeholders with clear enrollment and study outcome insights.
  • Promote safety and confidentiality of research participants at all times.

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