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 crosslingual 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.
2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
Experience with data visualization using Tableau Quicksight or similar tools
Experience with one or more industry analytics visualization tools (e.g. Excel Tableau QuickSight MicroStrategy PowerBI) and statistical methods (e.g. ttest Chisquared)
Experience with scripting language (e.g. Python Java or R)
Masters degree or Advanced technical degree
Knowledge of data modeling and data pipeline design
Experience with statistical analysis corelation analysis
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