Understand and have a working knowledge of customer/transactional level data preferably in retail environment.
Understand data sources to determine the correct source(s) and logic to ensure accurate, efficient and timely deliverables
Build, run and automate data queries, analysis and reports
Identify and log data issues and work with CAIS and IT to understand and resolve them
College degree in a discipline involving numeric analysis or programming
3-4 year experience using databases and SQL (structured query language) tools. Excellent ability to combine, cleanse and harmonize data for descriptive and predictive analytics.
SAS, big data analytics, R, Hive, Python is required.