· Translating business questions and concerns into specific analytical questions that can be answered with available data using BI tools; produce the required data when it is not available.
· Create global standard metrics across regions and perform benchmark analysis.
· Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
· Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
· Collaborate with colleagues from multidisciplinary science, engineering and business backgrounds.
· Develop efficient data querying and modeling infrastructure.
· Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
· Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models.