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IT Senior Data Management Analyst

Remote / Online - Candidates ideally in
Erie, Erie County, Pennsylvania, 16501, USA
Listing for: Erie Insurance Group
Full Time, Remote/Work from Home position
Listed on 2026-03-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Security, Data Engineer
Salary/Wage Range or Industry Benchmark: 86954 USD Yearly USD 86954.00 YEAR
Job Description & How to Apply Below
Division or Field Office:

Office of the CIO
Department of Position: Enterprise Tech Office Dept
Work from:
Corproate Office, Erie PA Salary Range:
$86,954.00 - $
* 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, 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

With limited supervision, leads the data management, storage and utilization of structured and unstructured data from internal and external sources of moderate to high complexity.Responsible for performing general analytics and knowledge on statistical modeling on existing data sets in various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Financial Services, Scientific Research, etc.). Activities include: defining data requirements (may involve writing Pseudo code), data collection, processing, cleaning, analysis, data integration, interpreting the data modeling and creating the visualizations.

Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science, Big Data Mining projects and data governance teams. Identifies areas to increase efficiency and automation of data analysis processes.


We are seeking a detail-oriented and technically skilled Data Management Analyst to join our dynamic AI Center of Excellence (CoE) within the IT department. This role will play a critical part in driving our AI initiatives by ensuring high-quality, accessible, and well-governed data. You will collaborate with data scientists, engineers, and business stakeholders to support data lifecycle management, data quality, metadata curation, and data compliance processes.

Preferred:

Experience supporting AI/ML or advanced analytics projects.

Knowledge of cloud data platforms (e.g., AWS, Azure, Google Cloud Platform) and modern data architectures (e.g., data lakes, lake houses).

Exposure to data privacy frameworks, compliance, security, and regulatory standards (e.g., GDPR, HIPAA) relevant to enterprise AI applications.

Why Join Us?

Be at the forefront of AI innovation within a growing IT organization.

Contribute to impactful, enterprise-scale AI initiatives that drive business value.

Collaborative and inclusive team environment with opportunities for…
Position Requirements
10+ Years work experience
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