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Remote Insurance Data Analytics Jobs (NOW HIRING)

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 ...

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 ...

Oscar Health

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ... insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal ...

NuView Analytics

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Oscar Health

Manager, Data Analytics

New York, NY · Remote

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... This position is remote. Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 ...

NuView Analytics

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Xforia, Inc.

Data Analytics & Technical Analyst"

Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... Independent workflow must be effectively harmonized with remote collaboration * Familiarity with ...

ECOM

Data Analytics Engineer (Remote)

$117K - $140K/yr

ECOM is seeking a Data Analytics Engineer to join their Digital Team. The role involves assisting with Data Analytics Engineering and requires expertise in Adobe Analytics and A/B Testing.

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Remote Insurance Data Analytics information

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$24

$54

$94

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

As of Sep 2, 2026, the average hourly pay for remote insurance data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 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.

More about Remote Insurance Data Analytics jobs

What cities are hiring for Remote Insurance Data Analytics jobs?

Cities with the most Remote Insurance Data Analytics job openings:

What are the most commonly searched types of Insurance Data Analytics jobs?

The most popular types of Insurance Data Analytics jobs are:

What states have the most Remote Insurance Data Analytics jobs?

States with the most job openings for Remote Insurance Data Analytics jobs include:

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The top searched job categories for Remote Insurance Data Analytics jobs are:

Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Property & Casualty Data Analytics Lead

Peak6 Investments LLC

Remote

Full-time

Posted 5 days ago

Job description

WHO WE ARE
We are PEAK6, a leading investment firm, using technology to find a better way of doing things. The company's first tech-based solution was developed in 1997 to optimize options trading, and over the past two decades, the same formula has been used across a range of industries, asset classes, and business stages to consistently deliver superior results. Today, PEAK6 seeks transformational opportunities to provide capital and strategic support to entrepreneurs and forward-thinking businesses. PEAK6's core brands include PEAK6 Capital Management, PEAK6 Strategic Capital, Apex Fintech Solutions, FOCUS, We Insure, Evil Geniuses, Poker Power, Zogo, and Bruce Markets.
ABOUT THIS ROLE
The Lead, Data Analytics plays a critical role within FOCUS' Group's Data & Technology division, driving the strategic use of data to inform business decisions, improve operational efficiency, and enhance client outcomes. This senior individual contributor leads complex analytics initiatives, serves as a subject matter expert across data domains, and acts as a key liaison between data engineering, business stakeholders, and executive leadership.
The ideal candidate is an analytically rigorous, business-savvy professional with deep expertise in Property and Casualty(P&C) insurance environments. They excel at translating ambiguous business questions into structured analytical frameworks, mentoring junior analysts, and delivering actionable insights at scale. This role is suited for someone who thrives in a fast-paced, collaborative environment and is passionate about harnessing data to drive meaningful outcomes.
Position Summary
Analytics Strategy & Insight Generation 30%
  • Design and lead end-to-end analytics projects addressing strategic business questions across P&C underwriting, claims, distribution, and client experience.
  • Develop advanced statistical models, segmentation analyses, and predictive frameworks to surface trends from large, complex datasets.
  • Define and track key performance indicators (KPIs) and metrics that drive business accountability and operational improvement.
  • Identify data gaps and quality issues; partner with data engineering to resolve root causes and improve data integrity.
  • Synthesize findings into clear, compelling narratives for both technical and non-technical audiences.

Data Modeling, Reporting & Visualization 30%
  • Architect and maintain scalable data models and pipelines in collaboration with data engineering teams.
  • Build and own executive-level dashboards and self-service reporting tools using BI platforms (e.g., Power BI, Looker).
  • Write complex SQL queries and leverage Python/R for statistical analyses, automation, and ad hoc investigations.
  • Document data definitions, methodology, and analytical logic to ensure reproducibility and organizational knowledge transfer.
  • Evaluate and implement new analytics tools and technologies to improve team efficiency and capability.

Stakeholder Collaboration & Business Partnership 25%
  • Partner with business leaders in Sales, P&C Underwriting, Operations, and Finance to translate needs into analytical project plans.
  • Facilitate requirements-gathering sessions and proactively manage expectations around timelines, scope, and deliverables.
  • Present analytical findings and recommendations to senior leadership; clearly articulate business impact and suggested actions.
  • Serve as a subject matter expert for data governance, data definitions, and analytical best practices across the organization.
  • Collaborate with IT and data engineering on infrastructure priorities, ensuring analytics requirements are represented in the roadmap.

Team Leadership & Mentorship 15%
  • Provide guidance, code review, and technical mentorship to junior and mid-level analysts on the team.
  • Lead project planning and workload prioritization for analytics initiatives; coordinate cross-functional delivery timelines.
  • Champion a culture of data-driven decision-making and analytical rigor across the organization.
  • Contribute to hiring, onboarding, and professional development efforts within the analytics function.

Education
  • Required: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
  • Preferred: Master's degree (MBA, MS in Data Science, Analytics, or related discipline).
  • Preferred: Relevant certifications such as Google Data Analytics, or AWS Certified Data Analytics.

Work Experience
  • Required: 6+ years of progressive experience in data analytics, business intelligence, or a related role, with at least 2 years in a lead or senior capacity.
  • Preferred: Experience in the insurance, financial services, or healthcare industry.
  • Preferred: Prior exposure to agency management systems, policy administration platforms, or insurance data warehouses.
  • Preferred: Experience working in an Agile/Scrum environment and managing analytics delivery within sprint cycles.

Knowledge, Skills & Abilities
  • Advanced proficiency in SQL; strong working knowledge of Python or R for analytical workflows.
  • Expertise with BI and visualization tools such as Power BI, or Looker.
  • Proven ability to build and communicate complex analyses to executive and non-technical audiences.
  • Strong understanding of data modeling, data warehousing concepts, and ETL processes.
  • Excellent project management and organizational skills; ability to manage multiple priorities in a fast-paced environment.
  • High emotional intelligence with demonstrated ability to influence without formal authority.
  • Knowledge of insurance products, terminology, and regulatory environment is a strong plus.

Supervisory Responsibility
This role does not carry formal supervisory responsibility. However, the Lead, Data Analytics is expected to provide informal mentorship, technical guidance, and project leadership to junior and mid-level analysts within the team.
Working Conditions
Travel: Minimal; up to 10% travel may be required for team meetings, conferences, or client visits.
Work Hours: Standard business hours (Monday-Friday); occasional flexibility required to meet project deadlines or collaborate across time zones.
PEAK6 is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics.
PEAK6 is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please contact our HR department at hrpeak6@peak6.com. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.
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Application data may be reviewed, including through automated tools, for security and fraud-prevention purposes. This review is conducted by our information security team and is separate from hiring decisions

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