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Tier-1 brand, Bangalore metro, mid-level analytics role with broad toolset increases applicant competition.
Supply-chain analytics skills transfer across industries, but MRP/EDI and manufacturing specifics raise domain sensitivity.
Explicit 6–8 years plus mandatory SAS, Snowflake, Python and supply-chain domain skills increase strictness.
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Design, develop, and implement analytical solutions to improve supply chain performance for manufacturing facilities and logistics centers.
Manage facility supply chain exceptions using DART Product Support application and independently resolve issues and enhance existing solutions.
Collaborate with supply chain and operations teams to develop actionable insights, automate processes, and support data-driven decision making.
Bachelor’s degree in Engineering, Statistics, Mathematics, Science, or Commerce.
6 – 8 years of relevant experience in developing and maintaining analytical solutions.
Medium to advanced skills in SAS (including BASE, Advanced SAS, PROC SQL), Snowflake, Python, Power BI, Tableau, and MS Excel.
Must be willing to work different shifts for US team overlap; work onsite five days a week in Bangalore, India.
Experienced in analytical solution design and supply chain process improvements in manufacturing or logistics settings.
Strong problem-solving and data querying skills with expertise in data lakes and SAS code optimization.
Capable of collaborating cross-functionally with supply chain leads, logistics engineers, and warehouse operations for process automation and efficiency improvements.