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Remote Insurance Data Analytics Jobs in Fairfax, VA

Lead Data Analytics Engineer

Washington, DC ยท Remote

$160K - $230K/yr

Lead Data Analytics Engineer Remote/Work from Home within the United States Must be a U.S. Citizen with an active or interim Secret Clearance. @Orchard LLC has an immediate need for a Lead Analytics ...

This role applies advanced analytics and research methods to help improve the short- and long-term ... Robust Health & Insurance Benefits - Choose from a variety of Medical, Dental, Vision, and ...

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 ...

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 ...

Showing results 21-40

Remote Insurance Data Analytics information

See Fairfax, VA salary details

$25

$55

$96

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

As of Aug 18, 2026, the average hourly pay for remote insurance data analytics in Fairfax, VA is $55.96, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $63.41 per hour, depending on experience, location, and employer.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

What are the key skills and qualifications needed to thrive as a remote insurance data analytics professional?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.

How do remote insurance data analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What are the most commonly searched types of Insurance Data Analytics jobs in Fairfax, VA?

The most popular types of Insurance Data Analytics jobs in Fairfax, VA are:

What job categories do people searching Remote Insurance Data Analytics jobs in Fairfax, VA look for?

The top searched job categories for Remote Insurance Data Analytics jobs in Fairfax, VA are:

What cities near Fairfax, VA are hiring for Remote Insurance Data Analytics jobs?

Cities near Fairfax, VA with the most Remote Insurance Data Analytics job openings:

Infographic showing various Remote Insurance Data Analytics job openings in Fairfax, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,397 per year, or $56 per hour.

Lead Data Analytics Engineer

@Orchard

Washington, DC โ€ข Remote

$160K - $230K/yr

Full-time

Posted 19 days ago


Job description

Lead Data Analytics Engineer

Remote/Work from Home within the United States

Must be a U.S. Citizen with an active or interim Secret Clearance.

@Orchard LLC has an immediate need for a Lead Analytics Engineer / Data Analytics SME to serve as a technical leader supporting enterprise data modernization, financial analytics, and executive decision support for a Department of War client. This individual will function as both a hands-on technical expert and client-facing lead, guiding data engineering efforts, shaping analytical products, mentoring team members, and partnering with senior stakeholders to solve complex financial management and resource planning challenges.

Your responsibilities as a Financial Reporting Consultant. 

·        Lead the design, development, integration, and governance of enterprise analytics solutions supporting financial and programmatic decision-making.

·        Architect scalable data pipelines and analytical environments using Databricks, Python, SQL, PySpark, and related technologies.

·        Guide the integration of financial, operational, and programmatic data from multiple authoritative systems.

·        Lead requirements gathering sessions with client stakeholders and translate strategic business questions into technical and analytical approaches.

·        Support PPBE, budget execution, financial analysis, forecasting, scenario modeling, and resource planning activities.

·        Oversee development of executive dashboards, scorecards, analytical reports, and senior leadership briefing materials.

·        Establish and reinforce data governance practices, including data quality controls, lineage, metadata, business rules, documentation, and auditability.

·        Mentor analysts, engineers, and developers while remaining hands-on with technical delivery.

·        Support testing, implementation, configuration management, documentation, and change management activities.

·        Recommend improvements to reporting processes, data management practices, business workflows, and decision-support products.

Your background will include. 

·        Bachelor's degree in business, data, or a relevant field

·        8+ years of experience supporting enterprise analytics, data engineering, business intelligence, or financial data initiatives.

·        Demonstrated experience leading technical projects, workstreams, or client-facing analytics engagements.

·        Advanced proficiency with Python, SQL, and enterprise data engineering practices.

·        Experience architecting solutions using Databricks, Spark, PySpark, cloud analytics platforms, or modern data platform environments.

·        Experience integrating, transforming, validating, and governing data from multiple authoritative systems.

·        Experience with Git, GitHub, GitLab, Jira, or similar version control and delivery management tools.

·        Experience designing executive dashboards, analytical products, and decision-support materials in ADVANA/Qlik and other relevant tools.

·        Ability to lead small teams while remaining hands-on technically.

·        Strong stakeholder engagement, requirements gathering, and executive communication skills.

Preferred Knowledge, Skills, & Abilities. 

·        Experience supporting Department of War financial management, comptroller, resource management, or PPBE organizations.

·        Experience leading data modernization, data migration, or enterprise reporting transformation efforts.

·        Experience with workflow automation, Power Platform, UiPath, Celonis, or process intelligence tools.

·        Experience with GitLab, CI/CD, configuration management, peer review, and code governance practices.

·        Master's degree in business, data, analytics, information systems, finance, economics, engineering, or a related field.

Compensation: Compensation for this role will be determined based on experience and qualifications. The expected base salary range is between $160K and $230K. Generous benefits, bonus eligibility, and significant professional development support are all available.

Established in 2010, @Orchard has an exceptional reputation, providing staffing solutions to time-sensitive, talent-scarcity issues to deliver better talent management ROI.  Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.atorchard.com.