evaluating business operations using statistical and financial methods
providing insights about customers and prospects to drive business strategy
working collaboratively with internal partners to develop data-driven growth strategies
applying machine learning, data mining, and visualization techniques
planning and executing multiple analytic projects in response to business needs
synthesizing findings into senior level presentations
championing corporate policies and procedures
ensuring compliance with legal and regulatory requirements
developing and applying effective risk management processes and controls
performing other duties as assigned

Bachelor's degree in Business, Economics, Decision Sciences, Statistics, Operations Research, Applied Mathematics, or Engineering
A minimum of 1 year of experience in data mining, programming, or statistical analysis
Experience working with data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques
Experience with at least one data mining/statistical analysis tools such as R, python, or SAS
Experience with business intelligence and data mining tools such as BusinessObjects, Microstrategy, Tableau, Qlickview, and SAS Enterprise Guide/Miner in a corporate or academic environment
Experience with SQL queries of large databases such as Oracle, DB2, SQL Server, Teradata, and Hadoop
Experience developing and applying statistical or machine learning methods in a corporate environment through applications such as R, python, SAS, SPSS, S, S-PLUS, or Stata

Decision Analyst

Key skills