Description

· 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 (SQL, Python, R, Scala, etc.) for analyzing data and building statistical models.

Basic Qualifications

• 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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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