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Remote Insurance Data Analytics Jobs in Pittsburgh, PA

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School Psychologist- Remote

Pittsburgh, PA · Remote

$700 - $800/day

The School Psychologist role is designed for a remote setting, providing comprehensive academic and ... Data analysis skills * Strong report writing abilities * Effective communication skills

PNC

Production Quality Analyst (Commercial Lending)

Pittsburgh, PA · On-site +1

$41K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This position may be eligible for remote work in select geographic locations, subject to approval ... Preferred Skills Change Management, Corporate Governance, Data Analytics, Process Efficiencies ...

New

Pyrovio

Project Controls Analyst

Greensburg, PA · Remote

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

M J Brunner Inc

Sr. Data Scientist

Pittsburgh, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description Senior Data Scientists at Brunner lead advanced analytics projects across multiple ... life insurance. We also offer commuter and transit benefits, as well as an employee wellness ...

Air

Forward Deployed Data Scientist

Pittsburgh, PA · Remote

... analytics to drive strategic business and national security results. As part of our team, you must ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

Management Science Associates

Data Support Lead

Tarentum, PA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analytical thinking and root cause problem solving. * Operational execution and continuous ... Insurance, Disability Income Plan, Paid Time Off (PTO) including Vacation, Sick and Holiday, and ...

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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 18, 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 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.

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 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,550 per year, or $53.1 per hour.

EMR Support Analyst

Phoenix Physical Therapy

Cranberry Township, PA • Remote

Full-time

Re-posted 11 days ago

Job description

Position Summary

The EMR Support Analyst provides frontline support and operational management of the organization’s Electronic Medical Record (EMR) system. This role is responsible for user administration, data integrity, system support, and assisting with EMR enhancements, upgrades, and integrations.

The Analyst ensures high-quality service delivery, maintains compliance with healthcare regulations (including HIPAA and Medicare), and drives system efficiency through continuous improvement and automation opportunities.
 

Key Responsibilities

End-User Support & Ticket Management

  • Deliver Level I support for EMR users, including issue resolution for record corrections, case merges, and provider/cosigner updates
  • Document, track, and resolve incidents using the IT ticketing system, ensuring adherence to SLAs and KPIs
  • Identify and escalate complex issues to Level II support or vendors as needed
  • Maintain high customer satisfaction through responsive and effective support

Data & System Administration

  • Manage referral source tables, including validation, auditing, and data cleanup
  • Administer EMR user accounts, onboarding support, and non-credentialed provider setup
  • Monitor and resolve failed system processes (e.g., fax routing issues)
  • Support patient data extraction for business, marketing, and operational needs

Implementation & Optimization

  • Assist with EMR upgrades, service packs, and new feature rollouts
  • Support system testing, validation, and quality assurance processes
  • Participate in EMR implementations, including data migration and M&A integration activities
  • Collaborate with vendors to troubleshoot and resolve technical issues

Process Improvement & Automation

  • Identify opportunities to improve workflows, automation, and system efficiency
  • Assist in vendor integrations, including electronic referrals and AI-driven enhancements
  • Contribute to reporting, analytics, and metrics related to system performance and compliance

Collaboration & Communication

  • Partner with cross-functional teams to support operational and clinical needs
  • Provide reporting and insights related to referral compliance and organizational productivity
  • Maintain clear, professional communication across all levels of the organization

Compliance & Continuous Learning

  • Ensure adherence to HIPAA, Medicare, and organizational compliance standards
  • Stay current on EMR functionality, enhancements, and industry best practices
  • Actively pursue ongoing professional development and knowledge growth

Qualifications

Education & Experience

  • Bachelor’s degree in Information Technology, Business, or a related field
  • Prior experience supporting EMR/EHR systems in a healthcare environment preferred
  • Experience in a remote or distributed support environment is a plus

Technical Skills

  • Basic understanding of software development lifecycle (SDLC) and change management practices
  • Proficiency with Microsoft Office and general technical troubleshooting
  • Experience with ticketing systems and data analysis/reporting tools preferred

Core Competencies

  • Strong analytical and problem-solving skills
  • High attention to detail and commitment to data accuracy
  • Excellent verbal and written communication skills
  • Ability to prioritize, multitask, and manage time effectively in a fast-paced environment
  • Self-motivated, dependable, and team-oriented with a strong customer service mindset
  • Consistently deliver high-quality, compliant, and timely support

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