Data Analyst - Analytics

ISO Innovative Analytics (iiA), a unit of Verisk Analytics (VRSK), specializes in applying advanced analytical techniques and data management skills to solve challenging problems related to risk and decision-making in a variety of verticals including P&C insurance, Healthcare, and Mortgage. We combine vast, and often unique and proprietary, data resources with cutting-edge predictive modeling techniques to create the most accurate models in the industry. Our clients use our risk assessment models for competitive gains in their marketing, underwriting and pricing strategies and our fraud detection and audit selection solutions to improve operational efficiencies. Our market position allows us to dedicate unparalleled time and talent to solving the analytic challenges in our target verticals. iiA is an equal opportunity employer.

Position Summary:
Critical, front-line unit requires keen, creative visualization of complex data relationships based on detailed business understanding to provide correct transformations and solid analytic structures; opportunity to make highly-visible individual contributions in a flexible team organization

Responsibilities:

• Evaluate, acquire and manage data from customers, 3d party data providers, and sources internal to Verisk Analytics
• Research new data sources suitable for predictive analytics
• Design, program and execute data management, transformation, derivation and sanitation activities, for example: table loads and joins, data appending and subsetting, geocoding, creating analytic variables, address standardization, etc.
• Collaborate with modelers to provide analysis-ready data
• Create and maintain documentation of programs, data and metadata
• Design, code and execute processes where required for deployment of models and for necessary support activities, such as for Sales and Marketing

• BS/BA; Master's degree may partially substitute for work experience
• 5+ years experience in at least 2 of the following areas of the data development cycle:
  • researching, sourcing and evaluating data for use in creating modeling data
  • developing large, complex analytic data (ex. 5+ data sources, 10M+ rows, 100+ columns, multiple appended derived values)
  • collaborating with statisticians/modelers during model development through implementation and maintenance
  • SQL Server (or equivalent) DBMS skills, including SQL query coding and creating and optimizing database ETL processes (ex. SSIS SQL Server packages)
• Strong SQL and SAS programming skills preferred; additional programming experience a plus (ex. R, Java, VB, Python)
• High level understanding of statistical modeling and machine learning
• Experience working with geographic and unstructured (text mining) data a plus
• Strong analytic and problem solving skills
• Strong attention to detail and documentation skills
• Good communication skills; able to communicate effectively with team members from highly-technical modeling as well as specialized business areas
• Ability to perform responsibilities with little/no daily supervision to meet scheduled deadlines; self-motivated, highly-organized team player required