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Remote Insurance Data Analytics Jobs in Falls, PA

Lockheed Martin

Master Data Governance Planner

Archbald, PA · On-site +1

$60K - $106K/yr

... Analysis - Able to Understand and Interpret Engineering Drawings - SAP Experience; strong ERP ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

Kane is Able

Business Analyst

Scranton, PA · On-site +1

$68K - $90K/yr

Remote Work Schedule: First Shift: Monday - Friday, 8:00am - 5pm Work Travel: Up to 15% of domestic ... Develop ad hoc SQL queries to support reporting, data analysis, system troubleshooting, and process ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Falls, PA

Remote Insurance Data Analytics information

See Falls, PA salary details

$24

$53

$92

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

As of Jul 27, 2026, the average hourly pay for remote insurance data analytics in Falls, PA is $53.77, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $60.91 per hour, depending on experience, location, and employer.

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 cities near Falls, PA are hiring for Remote Insurance Data Analytics jobs? Cities near Falls, PA with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
AVP of Data Platform Services Engineering & DevOps

AVP of Data Platform Services Engineering & DevOps

Berkshire Hathaway GUARD Insurance Companies

Wilkes Barre, PA • On-site, Remote

$127K - $313K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 hours ago

Job description

Good things are happening at Berkshire Hathaway GUARD Insurance Companies—an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.


Good Things You Can Count On.
•  Hybrid schedule: 2 days remote / 3 inoffice
•  Predictable hours (no nights, weekends, or holidays)
•  Competitive pay + generous PTO
•  Medical, dental & vision starting day one
•  401(k), tuition reimbursement & longevity bonuses


Shape, code and scale next-gen data services on cutting-edge DnA Platform!

At Berkshire Hathaway GUARD, we’re not just insuring-we’re innovating. Our Data & Analytics (DnA) organization is at the heart of transforming how we assess risk, serve customers, and shape the future of insurance. We’re seeking AVP of Data Platform Services - Engineering & DevOps to lead the execution of our most strategic data initiatives.
This role will own and drive two core service pillars of our platform:

  1. Data Engineering & Integration Services
    • Enable customers to ingest, transform, and manage data pipelines using Microsoft Fabric workloads (Data Factory, Lakehouse, etc..).
  2. DevOps, CI/CD, MLOps & LLMOps Services
    • Deliver automation and operational excellence for deploying data and AI solutions.
    • Implement CI/CD pipelines for Fabric workloads, manage MLOps for model lifecycle, and establish LLMOps for generative AI solutions.

This is a hands-on leadership role—you will build and maintain code, templates, and technical assets within Microsoft Fabric workloads, while scaling services and leading a team.

What You’ll Do

  • Hands-On Development: Design, build, and maintain reusable code, deployment templates, and automation scripts for Fabric workloads.
  • Service Ownership: Define, manage, and continuously improve Data Engineering and DevOps/MLOps/LLMOps service lines.
  • Customer Success: Partner with colleagues in the platform and as well as the domain senior engineers to deliver tailored solutions and ensure adoption of best practices.
  • Team Leadership: Mentor a team of engineers and architects.
  • Innovation: Drive automation, governance, and operational excellence across services.
  • Collaboration: Align services with Platform product roadmap and work closely with Domain Success teams.

 

KPIs & Success Metrics

  • Service Delivery: 95%+ on-time delivery of service features and enhancement requests.
  • Automation Coverage: 90%+ of deployments automated via CI/CD pipelines.
  • Customer Satisfaction: Maintain CSAT score of 4.5+/5 for service engagements.
  • Operational Efficiency: Reduce deployment cycle time by 50% within 12 months.
  • Innovation Impact: Launch at least 2 new automation or optimization features per quarter.

The successful candidate is expected to work in one of our offices 3 days per week and also be available for travel as required.

The annual base salary range posted represents a broad range of salaries around the U.S. and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.

Qualifications

  • Experience: 10+ years in data engineering, DevOps, or platform services; 5+ years in leadership roles.
  • Expertise: Strong knowledge of Microsoft Fabric, Azure DevOps, CI/CD, MLOps frameworks, and modern data architectures.
  • Hands-On Skills: Proficiency in Python, SQL, PowerShell, and Fabric APIs.
  • Leadership: Proven ability to scale teams and deliver enterprise-grade solutions.
  • Strategic Thinking: Ability to translate business objectives into technical solutions and service offerings.
  • Strong mentoring and communication skills
  • Insurance industry experience preferred
  • Bonus: Experience with data product or AI product delivery and data mesh models

Salary Range $127,053-$313,842.10 + bonus 

In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

This role may be based out of any of our office locations, including:

New York, NY; Parsippany, NJ; Conshohocken, PA; WilkesBarre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ 

Applicants must be authorized to work in the U.S. without current or future sponsorship.

Apply