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Erie Insurance Group Logo

Data & Analytics Specialist II

Erie Insurance Group

$69,318 - $110,729
Aug 27, 2025
Erie, PA, USA
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Erie Insurance is looking to solve business problems through data analysis and visualization, and is seeking a candidate to assess information needs, design studies, manage projects, analyze results, and present key findings to support business leaders.

Requirements

  • Advanced knowledge of SAS, SQL, SPSS, Python, R, or other related data analysis programs required.
  • Experience with dataset, programming, querying and reporting design required.
  • Proficiency with word processing, spreadsheet, database, presentation and flow-charting software required.
  • Proficiency with research-specific, statistical report writing software preferred.
  • Knowledge of statistical and financial analysis and quantitative techniques preferred.
  • Experience developing, maintaining, and monitoring enterprise data governance policies and standards preferred.
  • Project management experience preferred

Responsibilities

  • Models and develops data warehouse programs of moderate complexity ensuring business needs are met, including understanding ERIE's demographics and potential opportunities.
  • Applies knowledge of programming languages and software tools to prepare ad hoc and re-occurring reports.
  • Analyzes metrics and supports audit of source data.
  • 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.
  • Partners with areas across the organization to define and implement research designs and quantitative techniques using high-level analytical tools.

Other

  • 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.
  • Values Diversity
  • Nimble Learning
  • Self-Development
  • Collaborates
  • Customer Focus