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Remote Analytics Jobs in Washington (NOW HIRING)

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights ... This specific role is primarily remote, with occasional travel to an office or client site.

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights ... This specific role is primarily remote, with occasional travel to an office or client site.

Pega Analytics Type: Contract Contractor Work Model ... Hybrid - onsite and remote Responsibilities * Support the development and execution of targeting ...

Pega Analytics Type: Contract Contractor Work Model ... Hybrid - onsite and remote Responsibilities * Support the development and execution of targeting ...

Pega Analytics Type: Contract Contractor Work Model ... Hybrid - onsite and remote Responsibilities * Support the development and execution of targeting ...

Pega Analytics Type: Contract Contractor Work Model ... Hybrid - onsite and remote Responsibilities * Support the development and execution of targeting ...

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Showing results 1-20

Remote Analytics information

See Washington salary details

$68.5K

$140.3K

$198.2K

How much do remote analytics jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote analytics in Washington is $140,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $173,900.00 per year, depending on experience, location, and employer.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What is a Remote Analytics job?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

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

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

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

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

What are the most commonly searched types of Analytics jobs in Washington? The most popular types of Analytics jobs in Washington are:
What are popular job titles related to Remote Analytics jobs in Washington? For Remote Analytics jobs in Washington, the most frequently searched job titles are:
Infographic showing various Remote Analytics job openings in Washington as of June 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $140,270 per year, or $67.4 per hour.
Data and Analytics Manager (REMOTE)

Data and Analytics Manager (REMOTE)

The Geneva Foundation

Bethesda, MD • Remote

$115K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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 fully 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
$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.