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Insurance Data Analytics Jobs in Pennsylvania (NOW HIRING)

Erie Insurance

Director, Data

Erie, PA · On-site

$139K - $222K/yr

P&C insurance and/or Claims * Guidewire * AWS * Qlik/Qlik Sense * Data products and modern data architecture * Data governance and data quality * AI/ML or advanced analytics strategy * Legacy data ...

Erie Insurance

Director, Data

Erie, PA · On-site +1

$139K - $222K/yr

P&C insurance and/or Claims * Guidewire * AWS * Qlik/Qlik Sense * Data products and modern data architecture * Data governance and data quality * AI/ML or advanced analytics strategy * Legacy data ...

Erie Insurance Group

Director, Data

Erie, PA · On-site

$139K - $222K/yr

P&C insurance and/or Claims * Guidewire * AWS * Qlik/Qlik Sense * Data products and modern data architecture * Data governance and data quality * AI/ML or advanced analytics strategy * Legacy data ...

CYNET SYSTEMS

Data Analyst

Pittsburgh, PA · On-site

$45 - $50/hr

Participation in industry forums or professional communities related to data analytics or ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

ECRI

Data Analyst, MDM

Plymouth Meeting, PA · On-site

Medical, dental, vision, life insurance, disability coverage, critical illness insurance, and more ... It serves as a key operational contributor to the Data, Analytics & Applied AI team, enabling data ...

TransUnion

Senior Data Analyst

Crum Lynne, PA · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

Transunion

Senior Data Analyst

Crum Lynne, PA · On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

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Showing results 21-40

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Pennsylvania

Insurance Data Analytics information

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

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 Insurance Data Analytics jobs in Pennsylvania?

For Insurance Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Pennsylvania look for?

The top searched job categories for Insurance Data Analytics jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Insurance Data Analytics jobs?

Cities in Pennsylvania with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.

Director, Data

Erie Insurance

Erie, PA • On-site

$139K - $222K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Erie Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

58th of 315 rated insurance

Job description

Division or Field Office:
Office of Claims
Department of Position:Claims Shared Services Dept
Work from:
Westport Office, Erie PA Salary Range:
$139,559.00 - $222,932.00 *
salary range is for this level and may vary based on actual level of role hired for
*This range represents a national range and the actual salary will depend on several factors including the scope and complexity of the role and the skills, education, training, credentials, location (State) based on ERIE's geographical differences, and experience of an applicant, as well as level of role for which the successful candidate is hired. Position may be eligible for an annual bonus payment.
At Erie Insurance, you're not just part of a Fortune 500 company; you're also a valued member of a diverse and inclusive team that includes more than 6,000 employees and over 13,000 independent agencies. Our Employees work in the Home Office complex located in Erie, PA, and in our Field Offices that span 12 states and the District of Columbia.
Benefits That Go Beyond The Basics
We strive to be Above all in Service® to our customers-and to our employees. That's why Erie Insurance offers you an exceptional benefits package, including:
  • Premier health, prescription, dental, and vision benefits for you and your dependents. Coverage begins your first day of work.
  • Low contributions to medical and prescription premiums. We currently pay up to 97% of employees' monthly premium costs.
  • Pension. We are among the 2% of Fortune 500 companies to offer a traditional pension plan. Full-time employees are vested after five years of services.
  • 401(k) with up to 4% contribution match. The 401(k) is offered in addition to the pension.
  • Paid time off. Paid vacation, personal days, sick days, bereavement days and parental leave.
  • Career development. Including a tuition reimbursement program for higher education and industry designations.

Additional benefits that include company-paid basic life insurance; short-and long-term disability insurance; orthodontic coverage for children and adults; adoption assistance; fertility and infertility coverage; well-being programs; paid volunteer hours for service to your community; and dollar-for-dollar matching of your charitable gifts each year.
Position Summary
Manages and directs data analytics team and the data subcouncil for the specified data domain.
We are looking for a strong, business-oriented Data & Analytics leader to transform both our Claims data strategy and the way our analytics organization operates. This leader will build a high-performing analytics capability, establish strong operating discipline, and translate Claims business priorities into a modern data and analytics strategy.
Location Requirement
This is an Erie, PA-based leadership position. Relocation to Erie and regular in-office presence are required. Relocation assistance is available.
What We're Looking For
The ideal candidate will:
  • Be a strong people leader and organizational builder with demonstrated experience leading Data & Analytics teams.
  • Bring strong executive presence and communication skills, with the ability to influence senior leaders, challenge thinking, and translate complex data and technology topics into business terms.
  • Have experience evolving an analytics organization from reactive reporting and request fulfillment to proactive business decision support.
  • Establish effective operating practices for intake, prioritization, capacity management, work assignment, delivery, performance measurement, and accountability.
  • Translate business strategy and challenges into a clear data and analytics strategy, roadmap, and measurable outcomes.
  • Have sufficient technical depth to effectively challenge and guide data engineers, architects, analysts, and technology partners without needing to be a hands-on developer.
  • Understand modern cloud data architecture, preferably AWS, including data lakes/lakehouses, pipelines, curated data products, data quality, governance, lineage, and legacy-to-cloud modernization.
  • Understand modern BI and analytics practices and how to create trusted, consistent data and reporting for business decision-making.
  • Have experience building and developing teams, setting expectations, creating accountability, and providing transparency into work and results.
  • Have demonstrated experience leading organizational and technology transformation and guiding teams through significant change.
  • Understand the practical application of AI and advanced analytics and help shape how Claims can responsibly leverage these capabilities.

Preferred Experience
  • P&C insurance and/or Claims
  • Guidewire
  • AWS
  • Qlik/Qlik Sense
  • Data products and modern data architecture
  • Data governance and data quality
  • AI/ML or advanced analytics strategy
  • Legacy data modernization
  • SAS exposure is helpful but not required

Duties and Responsibilities
  • Manages overall operations of designated area of authority. Interviews, hires, trains and directs personnel. Prepares and conducts performance assessments, coordinates discipline and oversees employee development as required.
  • Works with the enterprise data council to build and maintain enterprise data governance framework. (Data governance framework-establishment of policies, standards, and processes to manage data.)
  • Leads specified data domain subcouncil ensuring that the enterprise data governance framework is implemented and maintained within the specified data domain.
  • Works with the enterprise data council and the data analytics subcouncil to build enterprise data analytics capability. (Data analytics-transformation of raw data into information).
  • Plans and oversees research and analysis of information within the specified data domain. Participates in research as needed. Communicates results of research analysis to general and senior management in order to facilitate decisions and the development of strategy for the specified data domain.
  • Works with the enterprise data council and IT data team to enable data related technologies.
  • Leads management of external and internal data solutions for the specified data domain.
  • Works with the enterprise data council to maintain the data program roadmap.
  • Maintains and applies current knowledge of generally accepted data governance, data management, and data analytics methods. Participates in continuing professional development/education opportunities.
  • Identifies and implements data related process improvements. Acts as change agent in supporting data as an asset within specified data domain.

The first 7 duties listed are the functions identified as essential to the job. Essential functions are those job duties that must be performed in order for the job to be accomplished.
This position description in no way states or implies that these are the only duties to be performed by the incumbent. Employees are required to follow any other job-related instruction and to perform any other duties as requested by their supervisor, or as become evident.
Duties and Responsibilities (cont'd if applicable)
Capabilities
  • Collaborates (Leader)
  • Self-development (Leader)
  • Customer Focus (Leader)
  • Instills Trust (Leader)
  • Persuades (Leader)
  • Drives vision and purpose (Leader)
  • Decision Quality (Leader)
  • Nimble Learning (Leader)
  • Cultivates Innovation (Leader)
  • Develops Talent (Leader)
  • Plans and Aligns (Leader)
  • Values Diversity (Leader)
  • Ensures Accountability (Leader)
  • Optimizes Work Processes (Leader)

Qualifications
Minimum Educational and Experience Requirements
  • Bachelor's degree and 8 years of experience successfully delivering data insight required.
  • Master's degree in mathematical or technical discipline preferred.

Additional Experience
  • Previous experience in a data focused leadership position preferred.
  • Experience working as part of a data governance and data quality team preferred.
  • Experience developing, maintaining, and monitoring enterprise data governance policies and standards preferred.
  • Knowledge of insurance products, competitive practices and state and federal regulatory laws as related to P/C insurance preferred.
  • Strong knowledge of policy processing and familiarity with pricing practices and agency operations preferred.
  • Ability to work collaboratively across the organization, analyzing problems and developing and implementing effective solutions in a complex and ever-changing environment preferred.
  • Track record of being able to distill highly technical information into palatable, meaningful statements for both technical and non-technical audiences preferred.
  • Familiarity with the data warehousing and big data solutions and products available on the market preferred.
  • Familiarity with different modeling techniques such as data modeling and predictive modeling preferred.
  • Experience with effective participation and collaboration as part of a leadership team including IT preferred.
  • Experience managing vendor relationships and contract that support information management to maximize long-term value and ensure effective utilization by staff preferred.

Physical Requirements
  • Climbing/accessing heights; Rarely
  • Driving; Occasional (<20%)
  • Lifting/Moving 0-20 lbs; Occasional (<20%)
  • Lifting/Moving 20-50 lbs; Occasional (<20%)
  • Ability to move over 50 lbs using lifting aide equipment; Rarely
  • Manual Keying/Data Entry/inputting information/computer use; Often (20-50%)
  • Pushing/Pulling/moving objects, equipment with wheels; Rarely

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