Database: Advise and assist with data architecture, elements, attributes, relational hierarchies, datamarts, and more
Monitoring: Develop monitoring alerting tools to identify key performance issues and institute issue resolution processes
Science: apply data science rigor to understand performance within standard variation and signals of process deviation
Analytics: support analytics in finance, sales, marketing, operations, stores, eCommerce, customer service, risk management, procurement, inventory management, fulfillment, compliance
Optimization: review existing processes with teams and vet opportunities for improvement
Capacity Planning: Experience forecasting processes and systems in hyper-growth environments to estimate timing and costs for the next evolution to meet demand and mitigate business disruption