Data Analystics Specialist II

  • 36869
  • Life - Data Science
  • |
  • Pennsylvania, United States
  • |
  • Feb 20, 2020
Insurance
RESPONSIBILITIES
  • Models and develops data warehouse programs of moderate complexity ensuring business needs are met, including understanding the company’s demographics and potential opportunities. 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.
  • 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.
  • 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.
QUALIFICATIONS
  • Bachelor's degree with three years of experience in research, analysis, strategic planning, financial analysis, information systems or related field; or
  • Associate degree and five years of experience in research, analysis, strategic planning, financial analysis, information systems or related field; or
  • High school diploma or GED with seven 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.
  • 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.