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Key job responsibilities
· Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
· Partner with Data Engineering and Software Development Engineers to prioritize and define S&OP data and BI development needs
· Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
· Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).
· Analyse and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
· Develop queries 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 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
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
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