Data & Analytics Specialist I

  • 35001
  • Life - Data Science
  • |
  • Pennsylvania, United States
  • |
  • Mar 29, 2019
Insurance
RESPONSIBILITIES
  • Supports modeling and developing data warehouse programs of low to moderate complexity ensuring business needs are met. Analyzes metrics and supports audit of source data.
  • Supports the planning, development, modeling, implementation and reporting of all related data.
  • Assists in identifying 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.
  • Assists in preparing ad-hoc and recurring reports using appropriate programming languages and software tools.
  • Analyzes financial implications of business decisions and identifies approaches to resolve business problems. Monitors and reports on progress and results as requested.
  • Analyzes current landscape and trends to assist in planning. Recommends changes to business strategies and tactics as appropriate.
  • 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.
  • Conducts special research studies as directed.
QUALIFICATIONS
  • Bachelor's degree in Mathematics or related field. Or
  • Bachelor's degree with one year of experience in research, analysis, strategic planning, financial analysis, information systems or related field. Or
  • Associate degree and three years of experience in research, analysis, strategic planning, financial analysis, information systems or related field. Or
  • High school diploma or GED with five years of experience in research, analysis, strategic planning, financial analysis, information systems or related field.
  • Insurance industry experience preferred.
  • An understanding of analysis and research required.
  • Basic understanding of dataset, programming, querying and reporting design required.
  • Basic understanding of programming with SAS, SQL, SPSS, Python, R, or other related data analysis programs preferred.
  • Understanding of 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.