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Erie Insurance Group

Senior Data Management Analyst

Erie Insurance Group

. Leads the data management, storage and utilization of structured and unstructured data from internal and external sources.

Posted 4/21/2026full-timeErie • Pennsylvania • 🇺🇸 United StatesSenior💰 $86,954 - $138,899 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSAzureCloudGoogle Cloud PlatformNoSQLOracleSQL

About the role

Key responsibilities & impact
  • Leads the data management, storage and utilization of structured and unstructured data from internal and external sources.
  • Responsible for performing general analytics and knowledge on statistical modeling on existing data sets in various areas of the business.
  • Defines 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.
  • Collaborates with data scientists, engineers, and business stakeholders to support data lifecycle management, data quality, metadata curation, and data compliance processes.

Requirements

What you’ll need
  • Bachelor's degree in IT, MIS, Business, or related field, and five years’ related experience; or Associate degree in a technical field, and seven years' related experience; or High school diploma and nine years' related experience required.
  • Experience in data analysis/modeling applications and programs and relational technologies required. (Examples: Qlik, Excel, SAAS, NoSQL technologies such as MarkLogic, AWS Redshift, relational technologies such as Oracle, SQL, OLAP, OLTP)
  • Experience supporting AI/ML or advanced analytics projects.
  • Knowledge of cloud data platforms (e.g., AWS, Azure, GCP) and modern data architectures (e.g., data lakes, lakehouses).
  • Exposure to data privacy frameworks, compliance, security, and regulatory standards (e.g., GDPR, HIPAA) relevant to enterprise AI applications.

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
data managementdata analysisstatistical modelingdata integrationdata visualizationdata miningdata qualitydata complianceAI/MLdata modeling
Soft Skills
collaborationproblem solvingcommunicationdecision makingefficiency improvementautomation