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Insurance Data Analytics Jobs in Pennsylvania (NOW HIRING)

Erie Insurance

Senior Data & Analytics Specialist

Erie, PA · On-site +1

$70K - $112K/yr

At Erie Insurance, you're not just part of a Fortune 500 company; you're also a valued member of a ... Manages data and analytics projects of moderate complexity and impact to the business. * Please ...

KPMG

Manager, Oracle Data & Analytics

Pittsburgh, PA · On-site

KPMG is currently seeking a Manager, Oracle Data &Analytics in Enterprise Solutions for our ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

AVI Foodsystems

Head of Data & Analytics

Sharon, PA · On-site

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity supporting operationalized analytics and models * Semantic modeling skills (business definitions, metrics ...

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Insurance Data Analytics information

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

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.

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.

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 collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

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 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 July 2026, with employment types broken down into 1% Internship, 84% Full Time, 10% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution.
Senior Data & Analytics Specialist

Senior Data & Analytics Specialist

Erie Insurance

Erie, PA • On-site, Remote

$70K - $112K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Erie Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

57th of 299 rated insurance

Job description

Please Note: We are only considering US workers for this position. We are unable to offer this position to individuals who will require current or future immigration sponsorship for employment.

Division or Field Office:

Office of Claims Division

Department of Position: Claims Shared Services Dept 

Work from:

Hybrid within Erie's Footprint Salary Range:

$70,705.00 - $112,944.00 *

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 one of only 13 Fortune 500 companies to offer a traditional pension plan. Full-time employees are vested after five years of service.
  • 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

Assesses information needs, designs studies, manages projects, analyzes results and presents key findings in support of business leaders. Manages data and analytics projects of moderate complexity and impact to the business.

  • Please Note: We are only considering US workers for this position. We are unable to offer this position to individuals who will require current or future immigration sponsorship for employment. 
  • This position can report to any of our offices within our footprint (PA, OH, NC, IN, MD, IL, KY, TN, VA, WV, WI, NY)  and will have access to Erie's remote work bank.
  • The hiring team will consider candidates for Data & Analytics Specialist II, or Senior Data & Analytics Specialist level position. The level of position offer will be based on depth and breadth of selected candidate's qualifications and experience.
Duties and Responsibilities
  • Models and develops data warehouse programs of moderate complexity ensuring business needs are met, including understanding ERIE's demographics and potential opportunities. Analyzes metrics and supports audit of source data.
  • Applies knowledge of programming languages and software tools to prepare ad hoc and re-occurring reports. Analyzes the financial implications of business decisions and identifies approaches to resolve business problems. Monitors and reports on progress and results as requested.
  • Supports the planning, development, modeling, implementation and reporting of all related data.
  • Works with leaders and subject matter experts to identify short- and long-term data and analytics goals related to business objectives. Measures the effectiveness of the data and analytics strategies in driving performance improvement.
  • Analyzes current landscape and trends to assist in planning. Recommends changes to business strategies and tactics as appropriate.
  • Partners with areas across the organization to define and implement research designs and quantitative techniques using high-level analytical tools. Serves as a liaison to internal and external suppliers of data and insights.
  • Creates files that include topics related to the industry, competitors, products, service innovations and trends. Works with specialists to develop, communicate and enforce standards for proper documentation and organization of electronic files, data and deliverables.
  • Trains less experienced specialists within the section.
  • Conducts special research studies as directed.


The first two 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.

Capabilities
  • Values Diversity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Customer Focus
  • Cultivates Innovation
  • Information Management Skills
  • Optimizes Work Processes (IC)
  • Instills Trust
  • Job-Specific Knowledge
  • Ensures Accountability
  • Decision Quality
Qualifications

Minimum Educational and Experience Requirements 

  • Bachelor's degree with two years' experience in research, analysis, strategic planning, financial analysis, information systems or related field; or
  • Associate degree and four years' experience in research, analysis, strategic planning, financial analysis, information systems or related field; or
  • High school diploma or GED with six years' experience in research, analysis, strategic planning, financial analysis, information systems or related field.

 
Additional Experience 

  • Insurance industry experience preferred.
  • An understanding of analysis and research required.
  • Experience with dataset, programming, querying and reporting design required.
  • Advanced knowledge of SAS, SQL, SPSS, Python, R, or other related data analysis programs required.
  • Experience developing, maintaining, and monitoring enterprise data governance policies and standards preferred.  
  • Knowledge of statistical and financial analysis and quantitative techniques preferred.
  • Project management experience preferred.
  • Proficiency with word processing, spreadsheet, database, presentation and flow-charting software required.
  • Proficiency with research-specific, statistical report writing software preferred.
Physical Requirements
  • Lifting/Moving 0-20 lbs; Occasional (<20%)
  • Lifting/Moving 20-50 lbs; Occasional (<20%)
  • Ability to move over 50 lbs using lifting aide equipment; Occasional (<20%)
  • Driving; Rarely
  • Pushing/Pulling/moving objects, equipment with wheels; Occasional (<20%)
  • Manual Keying/Data Entry/inputting information/computer use; Often (20-50%)
  • Climbing/accessing heights; Rarely

What Erie Insurance Group employees say

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