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Insurance Data Analyst Jobs in Pittsburgh, PA (NOW HIRING)

Data Analyst

Pittsburgh, PA ยท On-site

$45 - $50/hr

Hands-on experience investigating and remediating data quality issues including root cause analysis ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Data Verification Analyst

Pittsburgh, PA ยท On-site

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail ... Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and ...

Data Verification Analyst

Pittsburgh, PA ยท Hybrid

$13.38 - $23.42/hr

The Data Verification Analyst is responsible for all bill review clerical functions, including mail ... Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and ...

Data Scientist

Warrendale, PA ยท On-site

$174 - $222/hr

What you'll do Data Analysis & Modeling * Perform in-depth data analysis to identify trends ... Pet insurance discount. * 401(k). * Health Savings Account (HSA) * Flexible Spending Accounts ...

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Showing results 1-20

Insurance Data Analyst information

See Pittsburgh, PA salary details

$33K

$80.2K

$132K

How much do insurance data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for insurance data analyst in Pittsburgh, PA is $80,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,700.00 and $94,200.00 per year, depending on experience, location, and employer.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $85,000 per year, depending on experience, location, and certifications. Entry-level roles may start lower, while experienced analysts with advanced skills in data visualization and statistical tools can earn higher salaries.

What is the difference between Insurance Data Analyst vs Actuary?

AspectInsurance Data AnalystActuary
Required CredentialsBachelor's degree in statistics, data science, or related field; often certifications like CAP or CPCUBachelor's degree in mathematics, statistics, or actuarial science; professional actuarial exams and credentials (e.g., ASA, FSA)
Work EnvironmentData analysis teams within insurance companies, focusing on data modeling and reportingActuarial departments, focusing on risk assessment, pricing, and reserving
Employer & Industry UsageInsurance companies, brokers, and consulting firmsInsurance companies, consulting firms, government agencies

While both roles involve working with insurance data, Insurance Data Analysts focus on data collection, analysis, and reporting, whereas Actuaries specialize in risk modeling and financial forecasting using advanced mathematics and actuarial exams. The roles often collaborate but serve different strategic functions within insurance organizations.

What are the key skills and qualifications needed to thrive as an insurance data analyst?

To thrive as an Insurance Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics, finance, or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, and data visualization platforms, as well as knowledge of insurance-specific databases and certifications like CPCU or AIDA, is highly valued. Attention to detail, problem-solving, and effective communication are crucial soft skills for interpreting complex data and presenting insights to stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective support of business objectives in the insurance industry.

How does an insurance data analyst typically collaborate with underwriters and actuaries?

Insurance Data Analysts frequently work alongside underwriters and actuaries to provide data-driven insights that inform risk assessment and pricing decisions. Analysts gather, clean, and interpret large sets of policyholder and claims data, then present actionable findings through reports or dashboards. Regular meetings and joint projects ensure that underwriters and actuaries have the most accurate, up-to-date information to make decisions, and that data models align closely with business needs. Strong communication and teamwork skills are essential for success in this collaborative environment.

What does an insurance data analyst do?

An Insurance Data Analyst is responsible for collecting, processing, and analyzing data related to insurance policies, claims, customer behavior, and market trends. They use statistical tools and software to identify patterns, assess risks, and provide actionable insights that help insurance companies make informed decisions. Their work supports pricing strategies, fraud detection, customer retention, and overall business performance. Insurance Data Analysts often collaborate with underwriters, actuaries, and business managers to optimize processes and improve profitability.
What are popular job titles related to Insurance Data Analyst jobs in Pittsburgh, PA? For Insurance Data Analyst jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analyst jobs in Pittsburgh, PA look for? The top searched job categories for Insurance Data Analyst jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Insurance Data Analyst jobs? Cities near Pittsburgh, PA with the most Insurance Data Analyst job openings:
Infographic showing various Insurance Data Analyst job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $77,221 per year, or $37.1 per hour.

Data Analyst

CYNET SYSTEMS

Pittsburgh, PA โ€ข On-site

$45 - $50/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Job Overview:

Pay Range: $45hr - $50hr

Requirement/Must Have:

  • Experience working with Collibra.
  • Proven expertise in SQL performance analysis and tuning across Oracle and Snowflake environments.
  • Hands-on experience investigating and remediating data quality issues including root cause analysis and corrective/preventive actions.
  • Demonstrated ability to elicit and document business requirements and translate them into functional specifications, use cases, and technical designs.
  • Familiarity with operational architecture, systems integration, and cross-functional application implementation.
  • Proficiency with requirements management practices, change control, traceability, and participation in testing, test plans, UAT, and defect triage.
  • Strong stakeholder management and communication skills with the ability to consult and influence across business and technology teams.

Responsibilities:

  • Analyze, optimize, and benchmark SQL queries across Oracle and Snowflake.
  • Diagnose and resolve highly complex performance and data quality issues through rigorous root cause analysis.
  • Collaborate with technology teams to define specifications, design documents, and functional use cases for system enhancements and integrations.
  • Elicit, challenge, and prioritize business requirements using standard processes and templates; translate requirements into clear functional designs, user stories, and use case documentation.
  • Develop project scope, objectives, constraints, and assumptions for large strategic multiyear initiatives; ensure alignment to business outcomes and operational architecture.
  • Provide consultation to IT and business management on applying technology to business opportunities; plan and guide implementation of cross-functional applications and systems.
  • Participate in and provide guidance on technical design reviews, test planning, and user documentation; ensure end-to-end traceability from requirements through testing and release.
  • Manage scope changes and dependencies using formal requirements management principles including change control, traceability, and stakeholder sign-offs.
  • Gather and analyze quantitative and qualitative data to develop recommendations addressing strategic objectives across multiple global business and technology areas.
  • Engage in industry forums to maintain current domain knowledge; incorporate best practices into solution design and process improvements.
  • Apply experience with software/systems development processes to design and implement improved methodologies; actively influence continuous improvement in SDLC and data practices.
  • May allocate and coordinate work within a team or project ensuring delivery quality and timeline adherence.

Nice to Have:

  • Experience working with Artificial Intelligence.
  • Experience working with Universal Client Manager or similar client/platform technologies.
  • Exposure to large-scale strategic multiyear programs spanning global business and technology areas.
  • Knowledge of modern SDLC practices, agile methodologies, and process improvement frameworks.
  • Participation in industry forums or professional communities related to data analytics or enterprise architecture.

Skills:

  • Analytical problem-solving and structured root cause analysis.
  • Requirements elicitation and prioritization.
  • Technical design literacy and testing rigor.
  • Data strategy awareness and business acumen.
  • Stakeholder engagement and consultative communication.
  • Process improvement and change management.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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