To be successful in this role, you will have the ability to roll up your sleeves, innovate, and quickly become a subject matter expert to assess business performance across sellers and market segments. You will be a self-starter who is willing to work hands-on, is comfortable with ambiguity and large data sets. You will also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. You will have demonstrated proficiency in SQL across variety of databases, BI tools, R or Python to analyze large data sets.
Key job responsibilitiesExposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
- 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
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