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Data Analyst - Predictive Analytics Modeler

Data Analyst – Predictive Analytics Modeler

General Summary:

The Predictive Analytics Modeler will focus on developing solutions throughout the organization to help drive strategic decisions for operations.  The modeler will work on a wide variety of challenges which include solutions for all aspects of website success.  In addition to standard forms of advanced analytics, the modeler will also explore the development of predictive models with machine learning and artificial intelligence.

Essential Duties and Responsibilities:

  • Develops and maintains predictive analytics/modeling efforts and uses of analytics/modeling programs.
  • Designs models, coordinates data pulls, prepares/validates data, performs and validates the modeling and analysis, effectively communicates findings and provides actionable recommendations. 
  • Collaborates with IT and business units to oversee implementation of work efforts and provides input to help design, monitor, and improve data structures and data warehouses.
  • Performs research of various areas of the company, including underwriting, claims and sales through the use of predictive modeling.
  • Manages projects to produce and update models on time, as required.
  • Stays current with industry trends through Industry seminars, conferences, committees, and/or self-study.
  • Other duties as assigned

Job Requirements:

  • Bachelor’s or higher in Statistics, Mathematics, Actuarial Science, Quantitative Economics, Computer Science/Engineering  or other similar analytical field. Or, equivalent years’ experience. 
  • Minimum of 1 years’ experience with predictive analytics or other data analytics. Education and Internships will qualify.
  • Excellent knowledge of and experience with relational database structure, programming concepts, external data sources, and complex data systems including data lakes.
  • Advanced SAS, R, Python skills or similar software, experience with Emblem is a plus.
  • Strong data mining and text mining proficiency with data gap and cleansing experience.


To perform the job successfully, an individual should demonstrate the following competencies:

  • Strategic Thinking - Develops strategies to achieve organizational goals; understands organization's strengths & weaknesses; analyzes market and competition; Identifies external threats and opportunities; adapts strategy to changing conditions
  • Analytical - Synthesizes complex or diverse information; collects and researches data; uses intuition and experience to complement data.
  • Problem Solving - Usually follows established procedures and resolves minor exceptions by using judgment; free to adapt or deviate from established procedures in order to solve problems, suggests improvements to existing procedures.
  • Business Acumen - Understands business implications of decisions; displays orientation to profitability and profitable growth; demonstrates knowledge of market and competition; aligns work with strategic goals.
  • Judgment - Displays willingness to make decisions; exhibits sound and accurate judgment; supports and explains reasoning for decisions; includes appropriate people in decision-making process; makes timely decisions.
  • Professionalism - Approaches others in a tactful manner; reacts well under pressure; treats others with respect and consideration regardless of their status or position; accepts responsibility for own actions; follows through on commitments.
  • Dependability - Excellent attendance and willingness to commit to long hours of work when necessary to reach goals; Follows instructions, takes responsibility for own actions; keeps commitments; completes tasks on time, keeps team on notice of delays. responds to management direction.
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