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SCOT Optimal Inventory Health (OIH) team manages Retail inventory health WW. We own products that identify and remove overstock inventory through multiple disposition channels – Markdowns, Deals, Coupons, Vendor Returns, and Google Shopping Ads - across 20+ marketplaces. OIH Insights Team provides analytic horsepower to drive OIH strategy. We do so by :- Building and maintaining modular, scalable data models that provide the generality, flexibility, intuitiveness, and responsiveness required for seamless self-service insights.
- Generating deeper insights through statistical modeling and machine learning.You will work partner closely with PMTs, Scientists, Economists, Engineers to contribute to each layer of data solution (build data pipeline for scalable BI solution, productionize self-service insights generation etc.)Key job responsibilities
- Translating the business requirements to structured BI solutions.
- Designing and implementing BI technical solutions with the appropriate analytics strategy and data set design.
- Implementing data pipeline for Insights generation.- Structuring large scale, complex analysis and performing the analysis to generate insights.
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience writing complex SQL queries
- 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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