Supply Chain Analyst (Hybrid)

The Supply Chain Analyst will combine data analysis and operational research to drive high-impact and transformational initiatives that improve Supply Chain performance and reduce expenses. The job involves data analysis and recommendation for improvements and changes based on the analysis being performed. The analyst will work independently and cross-functionally on special projects as assigned and will also be expected to identify and pursue new opportunities. The role is highly dynamic and will include responsibilities such as but not limited to KPI & expense reporting, forecasting, process design and improvement, advanced modeling, and operational support during Peak times

Essential Functions:

• Identify reporting and visibility gaps and design influential dashboards and reports that improve day-to-day tactical decision-making.
• Partner with cross-functional teams in Merchandising and Planning to optimize upstream processes and reduce variability and cost throughout supply chain. 
• Continuously improve supply chain processes in terms of efficiency, accuracy, and data capture that enables reporting and analytics.
• Solve challenging ad hoc problems that require collecting both qualitative and quantitative insights and providing recommendations.
• Drive change through thorough data analysis with recommendations for improvements and changes.
• Assist in guiding long term supply chain strategy through advanced modeling and operational research.
• Assist in managing SQL database on Snowflake platform and distributing business intelligence through data modeling, data capture, and view authorship that improves self-service capability of operational teams.
• Perform systems and root cause analysis as needed for managing ongoing operations.
• Champion analytics and fact-based decision making across the organization.
• Exercise discretion and independent judgment and work under minimal supervision while performing the required data analysis and operational research.
• Requires designated hybrid in-office work schedule

Education:

• Bachelor's degree in Industrial Engineering, MIS, Supply Chain, Operations Research, Economics, Statistics, Computer Science and/or equivalent work experience required. 

Work Experience:

• 1-3 years of experience with relational database platforms such as Snowflake, Teradata, Oracle
• 1-3 years of experience with data management and analytics platforms like Alteryx, Knime, SAS
• 1-3 years of experience with data visualization platforms like Tableau, Power BI 

Knowledge, Skills & Abilities:

• Entrepreneurial mindset and ability to self-manage and work under very minimal supervision; comfortable with ambiguity and adapting to new priorities.
• Ability to articulate a problem, manage stakeholder needs, perform research and data analysis, intensively self-validate assumptions, propose multiple solutions and recommend a course of action.
• Stewards supply chain data infrastructure to continuously improve the analytics process.
• Strong and proactive communicator comfortable with facilitating and managing expectations with Director and higher-level leaders.
• Intrinsic passion for solving problems and helping others solve challenges.
• Intensely thoughtful and critical thinker with the ability to comprehend interdependencies among many moving parts and competing priorities.
• Expert usage of Microsoft Office, especially Excel and Powerpoint
• Strong analytical skills
   

#LI-CM1

#IND3

#LI-HYBRID