Data Support and Analytics I7

Concretely you will:

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business.
• Report against our goals by identifying essential metrics and building executivefacing dashboards to track progress.
• Build fullcycle analytics reports and dashboards using SQL R Python or other scripting and statistical tools.
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings.
• Provide insights to help business and product leaders understand marketplace dynamics user behaviors and longterm trends.