BIE II, AOP

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. - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling