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Key job responsibilities
b. Own analytics for key domains across inventory optimization services and deliver self-service analytics at scaled. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations.
e. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
f. Lead projects from start to finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
g. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reporting
- 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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