• Experience implementing data warehouse standards and methodologies
• Experience cleaning, structuring, and enriching data into a desired format for increased productivity in downstream uses
• Analytical tools and programming languages –SQL (including SSRS and SSIS), Spotfire (or other data visualization tools), Big Data tools, R, Python, SAS or other modeling language
• Advanced analytics, mathematical modeling, programming, data architecture, machine learning, data mining, and predictive analytics
• Data science as a full process; Define and/or discover the business needs and appropriate use case, data collection and management

College degree emphasis in Business, Computer Science, Information Systems, Data Science, or Engineering and Mathematics are preferred