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Job Description
Key job responsibilities
1. 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.
2. Apply statistical and standard methods to specific business problems and data.
3. Create global standard metrics across regions and perform benchmark analysis.
4. 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.
5. Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions. 7. Develop efficient data querying and modeling infrastructure.
8. Utilizing code (Python, SQL, Tableau etc.) for analyzing data and building statistical models.
9. Manage your own process. Prioritize and execute on high impact projects, triage external requests, and ensure to deliver projects in time.
- 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. t-test, Chi-squared)
- Experience with scripting language (e.g., Python, Java, or R)
- Master's degree, or Advanced technical degree
- Knowledge of data modeling and data pipeline design
- Experience with statistical analysis, co-relation analysis
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