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Remote Insurance Data Analytics Jobs in Washington

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Health insurance, well-being programs HOW YOU WILL CONTRIBUTE TO THE TEAM Regional Adoption ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Maximus

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

This is a remote position. Essential Duties and Responsibilities: - Responsible for delivery of ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS ... Basic & Voluntary Life Insurance * Wellness Program * PTO * 11 Holidays * Professional Development ...

System One

HR Data Analytics

Merrifield, VA · Remote

Remote Pay Rate: Open to both W2 and established 1099 options Position Type: Multiyear Contract ... The Technical Data Steward (HR Data Analytics) is responsible for the governance, quality, security ...

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

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Remote Insurance Data Analytics information

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 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.

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

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.
What are the most commonly searched types of Insurance Data Analytics jobs in Washington? The most popular types of Insurance Data Analytics jobs in Washington are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Washington? For Remote Insurance Data Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Washington look for? The top searched job categories for Remote Insurance Data Analytics jobs in Washington are:
What cities in Washington are hiring for Remote Insurance Data Analytics jobs? Cities in Washington with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you

Data Analytics & Engineering Opportunities

Career Site

Washington, DC • On-site, Remote

$65K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Venable LLP's Technology & Innovation Group Venable Blueteam seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California regions. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.

We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.

Seeking professionals skilled in the following:

  • Experience with SQL (Oracle, Vertica, Hive, MySQL, or similar) Python, or R
  • Experience with Business Intelligence tools such as, Tableau, Microstrategy, or similar
  • Ability to present complex findings clearly and work cross-functionally

Venable LLP does not discriminate on the basis of race, gender, ethnicity, religion, national origin, age, disability, veteran status, or on any other basis prohibited by law. To view our inclusion and opportunity policy, please click here.

Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Applicants with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance and the California Fair Chance Act, as applicable. Material job duties for this role include having access to privileged and confidential firm and client information, firm employees, and the firm's premises. This role requires the hired individual to perform the material job duties outlined in this job posting. If the firm reasonably believes an applicant's criminal history may have a direct, adverse, and negative relationship with the material job duties required by the role, a conditional offer of employment may be rescinded.

Venable's benefits package includes medical, dental, vision, disability, life insurance, flexible spending and healthcare savings accounts, 401(k) with firm profit share, paid vacation and sick time, firm paid holidays, wellness and personal advocacy programs, family planning resources and leave programs, tuition reimbursement, and more. New employees are provided a detailed orientation to the firm's benefit offerings upon hire.

The anticipated base salary for Data Analytics & Engineering positions is $65,000 - 105,000 per year. The actual salary offered will be based on a number of job related factors including, but not limited to, years of related experience, level of education, skills, credentials and certifications, responsibilities and performance. Additional compensation may include discretionary bonuses and overtime, if eligible. Overtime wages earned will be paid in compliance with applicable law.

Venable LLP's Technology & Innovation Group Venable Blueteam seeks Data Analytics & Engineering professionals in the Washington, D.C., New York, Illinois, Denver, and California offices. The Data Analytics & Engineering professionals support temporary client-based projects. This is a non-attorney position.

We are hiring for a variety of data analytics and engineering roles that are temporary, project based and will be remote or hybrid based off client needs.

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