ZipRecruiter

Log In

2

Remote Insurance Data Analytics Jobs in Pittsburgh, PA

Veterans Sourcing Group

Be Seen First

Accountant- Health Insurance

Pittsburgh, PA · Remote

$46 - $50/hr

Accountant REMOTE - Prefer local Pittsburgh candidates but open to 100% remote. The manager is most ... Proven ability to analyze financial data, identify discrepancies, and resolve issues efficiently

CivicScience

Market Research Analyst

Pittsburgh, PA · On-site +1

Company paid life insurance plus short- & long-term disability coverage * Flexible spending ... analytics and advertising platform. Our proprietary, always on, data collection engine captures ...

New

CivicScience

Market Research Analyst

Pittsburgh, PA · Remote

Company paid life insurance plus short- & long-term disability coverage * Flexible spending ... analytics and advertising platform. Our proprietary, always on, data collection engine captures ...

New

previous pagenext page

Showing results 21-40

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

Remote Insurance Data Analytics information

See Pittsburgh, PA salary details

$23

$53

$91

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

As of Aug 17, 2026, the average hourly pay for remote insurance data analytics in Pittsburgh, PA is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $60.19 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?

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 Pittsburgh, PA?

The most popular types of Insurance Data Analytics jobs in Pittsburgh, PA are:

What are popular job titles related to Remote Insurance Data Analytics jobs in Pittsburgh, PA?

For Remote Insurance Data Analytics jobs in Pittsburgh, PA, the most frequently searched job titles are:

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

The top searched job categories for Remote Insurance Data Analytics jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Remote Insurance Data Analytics jobs?

Cities near Pittsburgh, PA with the most Remote Insurance Data Analytics job openings:

Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 4% Internship, 68% Full Time, 12% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,550 per year, or $53.1 per hour.

Health Economics Analyst Intermediate - Medical Cost Initiatives (Remote)

UPMC Senior Communities

Pittsburgh, PA • On-site, Remote

$32.85 - $56.83/hr

Full-time

Posted 6 days ago

Job description

Purpose:
The UPMC Health Plan is seeking an Intermediate Health Economics Analyst for a fully remote role where they will join the Medical Cost Initiatives Team within in our Medical Economics Department.
A successful Health Economics Analyst, Intermediate will be expected to take initiative in the enhancement, development, documentation, and communication of identified variances and assessment of strategic opportunities. Manage comprehensive analysis of data and information for various UPMC Health Plan products and programs. To successfully perform the role, the Health Economics Analyst must be highly professional and understand the causes of financial & clinical trends and anomalies. The Health Economics Analyst must use their knowledge and understanding of financial, clinical and other information generated by numerous sources to identify opportunities to improve clinical and financial performance. Furthermore, the position requires the ability to articulate these opportunities to internal and external audiences, implement the solutions, and track and monitor progress. These functions must be done while also weighing the practical considerations and potential barriers that need to be overcome in order to successfully implement new programs and processes.
Responsibilities:
  • The quantitative analyst will also become increasingly familiar with basic medical claims terminology in order to properly interpret, through the application of quantitative analytics, the impact of care delivery and finance on Health Plan performance.
  • Health Economics is a fluid, dynamic, fast-paced environment. The successful employee is comfortable with ambiguity in priorities and is able to maintain professionalism and a team-player attitude in the face of analytical challenges of moderate-to-high complexity.
  • Independently prioritize and manage 2-to-4 advanced quantitative and/or statistical analytics projects simultaneously, while receiving regular supervision.
  • Routinely analyze financial and clinical results, including output from predictive models.
  • Develop knowledge and expert understanding of all products and benefit designs of UPMC Health Plan insurance offerings, across all lines of business, to facilitate analysis.
  • The HEA, Intermediate will consistently demonstrate a strong customer orientation, producing analyses on-time and communicating results effectively.
  • Routinely apply advanced data extraction and manipulation skills, complex analysis methods, statistical analysis, and data visualization tools to daily work.
  • Independently, or in teams, produce a combination of quantitative financial analysis and clinical utilization analysis to produce new insights into drivers of Health Plan performance.
  • Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment.

Qualifications:
  • Minimum: Bachelor's degree in business, mathematics, statistics, health care management, decision sciences, or a similar, quantitative field. Master's degree preferred.
  • Minimum of two-to-four years of work experience in a quantitative job function; five years are preferred.
  • Prior experience with financial and/or clinical modeling or data analysis is highly desirable.
  • Prior experience applying analysis methods in the health insurance industries strengthens the application, as does general knowledge of business and economic principles.
  • Prior medical cost initiative experience highly preferred.
  • The successful HEA, Intermediate can apply analytical and statistical software tools to produce complex, quantitative analyses of the health insurance industry.
  • Work typically includes the use of statistical analyses, predictive models, or dynamic business models.
  • Demonstrate, beyond the novice level, the application of problem solving skills in the creation and interpretation of quantitative analyses.
  • Interpret and communicate to management and colleagues, verbally and through written reports, the results of complex, quantitative analysis.
  • The successful HEA, Intermediate will have experience using SQL, SAS, or R to conduct analysis.
  • Demonstrated application of a similar programming language or analysis tool such as SPSS, STATA, or C++ may also be acceptable.The ability to extract and manipulate data from large, complex data sets with minimal supervision.
  • The HEA, Intermediate will routinely use the most advanced quantitative features of Excel as a lower-level tool to supplement the use of advanced analysis tools.
  • Data visualization experience.
    UPMC is an Equal Opportunity Employer/Disability/Veteran

Apply