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Supply Chain Analyst Stamford, CT

Job in Stamford, Fairfield County, Connecticut, 06901, USA
Listing for: Robert Half
Full Time position
Listed on 2026-07-13
Job specializations:
  • Retail
    Financial Reporting, Financial Analyst
Job Description & How to Apply Below
Position: Supply Chain Analyst Job in Stamford, CT | Robert Half

Supply Chain Analyst

We are looking for a Supply Chain Analyst to join a wine industry organization in Stamford, Connecticut. This long-term contract opportunity offers remote flexibility with standard daytime business hours and is well suited for someone who enjoys connecting finance, accounting, and supply chain insights through data-driven analysis. The position focuses on strengthening reporting accuracy, supporting planning activities, and improving operational efficiency through advanced tools, automation, and cross-functional collaboration.

Responsibilities:

  • Produce and review balance sheet reconciliations to help maintain accurate financial records and support month-end activities.
  • Create reporting that compares business performance against budget expectations and highlights meaningful trends or variances.
  • Contribute to forecasting, planning, and financial analysis efforts by turning large data sets into actionable business insights.
  • Support daily finance and accounting tasks tied to supply chain operations, ensuring timely and reliable information for stakeholders.
  • Build and refine Excel-based models, dashboards, and analytical reports to improve visibility into operational and financial performance.
  • Use Power Query and related tools to streamline data preparation, enhance reporting speed, and reduce manual effort.
  • Work across financial systems and reporting platforms, including tools such as Cognos or comparable applications, to deliver dependable analysis.
  • Partner with finance and supply chain teams to identify workflow improvements, strengthen reporting processes, and expand automation opportunities.
  • Perform data mining and quantitative analysis to support decision-making across supply chain, logistics, and planning activities.
  • Assist with coding and automation initiatives that improve efficiency, consistency, and scalability within reporting processes.
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