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Remote Insurance Data Analytics Jobs in Pennsylvania

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Collaborate with geospatial data analysts to understand and automate workflows and improve human ...

... based analytics role, preferably in the health benefits space/insurance industry * Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on ...

Data Architect

Mechanicsburg, PA · On-site +1

$150 - $180K/hr

... analytics, data retention processes, data compliance, security, and automating related processes for products used in support of OIS. REMOTE: Possibility of up to 10% Travel required - Client ...

... based analytics role, preferably in the health benefits space/insurance industry * Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on ...

... based analytics role, preferably in the health benefits space/insurance industry * Working knowledge of Python for analysis and data wrangling (advanced modeling not required) * Deep, hands-on ...

Senior AI/ML Architect

Pittsburgh, PA · On-site +1

$65.25 - $87.25/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Entry Clerk - Remote

Doylestown, PA · Remote

$16.75 - $22.25/hr

FSTONE Technologies is seeking a detail-oriented and dependable Data Entry Clerk to join our remote ... Benefits Competitive hourly pay Medical, dental, and vision insurance (where applicable) Paid time ...

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

$115K - $173K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate ...

Solutions Analyst

Newtown, PA · On-site +1

$85K - $88K/yr

Investigate, document, and resolve data, reporting, and analytics issues while managing defects ... Whether remote or in-office, this role routinely uses standard office equipment such as computers ...

Solutions Analyst

Newtown, PA · On-site +1

$85K - $88K/yr

Investigate, document, and resolve data, reporting, and analytics issues while managing defects ... Whether remote or in-office, this role routinely uses standard office equipment such as computers ...

Showing results 41-60

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?

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 Pennsylvania? The most popular types of Insurance Data Analytics jobs in Pennsylvania are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Pennsylvania? For Remote Insurance Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Pennsylvania look for? The top searched job categories for Remote Insurance Data Analytics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Insurance Data Analytics jobs? Cities in Pennsylvania with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 5% Internship, 66% Full Time, 10% Part Time, and 19% Contract. Highlights an 100% Remote job distribution.

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

POSITION SPECIFICS

We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in this unique problem area that has applications in defense, law enforcement, security, disaster relief, human geography, disaster preparedness, and first response.

ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.

You will:

  • Lead programs and teams and be part of a highly collaborative environment
  • Collaborate with geospatial data analysts to understand and automate workflows and improve human processes to advance the discovery and modeling of associations, trends, patterns and system dynamics
  • Support the creation of processes and algorithms to transform traditional GEOINT and open-source data into spatiotemporal information describing places, events, and activities
  • Combine full spectrum source data with modeling capabilities that associate real world objects to known signatures and doctrines
  • Develop the ability to discover and capture information from geospatial data to better represent the most advanced understanding of world events, systems, and discrete entities
  • Apply the scientific method across multiple disciplines to advance data and geospatial sciences and develop data analytics through systematic experimentation
  • Support scientific research projects and develop geospatial algorithms while collaborating among diverse domains to further scientific understanding and the use of analytic tools
  • Grow in career and capabilities, plan and conduct applied research, provide technical guidance and oversight, lead small-to-medium research efforts, report results, foster trusted relationships with sponsors, and advise on new and evolving technology and techniques
  • Engage in research efforts ranging from proof-of-concept through integrated production systems

Required skills/knowledge areas include:

  • Relevant work in Data Sciences, Computer Sciences, or Geospatial Sciences
  • Work within DoD/IC Analysis or Operational environments
  • Ability to design experiments, perform analysis, and design or apply meaningful metrics to measure results
  • Adapt and learn new skills, to execute specific research projects, and to meet task deadlines and goals
  • Computer programming in one or more of the following: Python, R, Java, C++, or Matlab
  • Highly adaptable, creative, lateral thinkers that enjoy a collaborative environment
  • Excellent communication skills, be dependable, responsive, curious, collaborative, and have high interpersonal skills
  • Active TS/SCI Clearance

Preferred skills/knowledge areas include:

  • A Doctorate degree
  • Git, GUI development, open source scientific computation, computer vision, modeling, or machine learning tools
  • High performance computing

Your working location will be in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

Bachelor's Degree 3+ years of relevant experience; or an equivalent combination of education and experience accepted Required Certifications: None

ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.

FOR FURTHER INFORMATION on ARL, visit our website atwww.arl.psu.edu.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.Notice regarding employment at the Applied Research Laboratory (ARL): Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $80,100.00 - $132,204.00.

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

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About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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