Logistics Data Analyst

BICShelton, CT

About The Position

The Logistics Data Analyst turns complex supply chain and logistics data into clear, actionable insights that improve service, reduce cost, and increase operational efficiency. This role plays a critical part in enabling data-driven decision making across Transportation, Distribution, Customer Service, Commercial, Finance, and IT. With a focus on performance analytics, reporting automation, and data governance, this individual will help elevate visibility across the end-to-end supply chain and support continuous improvement through scalable tools and standardized metrics.

Requirements

  • Bachelor’s degree required (Supply Chain, Business Analytics, Operations, Engineering, or related field preferred)
  • 5–7 years of experience in data analytics, reporting, and dashboard development
  • 2-3 years of experience in supply chain preferred
  • CPG experience preferred
  • Advanced Excel (data modeling, complex formulas, macros, etc.)
  • Experience with Power BI, Alteryx, or similar tools
  • Working knowledge of ERP, WMS, TMS, and SQL-based data environments
  • Strong technical skills, analytical thinking, and problem solving skills required
  • Ability to structure ambiguous problems into clear analyses
  • Effective communicator with strong data storytelling skills
  • Proven ability to collaborate and influence across functions
  • Continuous improvement mindset (Lean/Six Sigma a plus)

Responsibilities

  • Develop and manage KPIs across transportation, warehousing, and order fulfillment
  • Analyze large datasets to identify trends, risks, and opportunities
  • Translate business needs into clear, data-driven insights and recommendations
  • Build and automate dashboards and reporting (Power BI, Alteryx, etc.)
  • Improve real-time visibility while reducing manual reporting effort
  • Ensure data accuracy and consistency across ERP, WMS, TMS, and other systems
  • Evaluate logistics processes and identify opportunities to improve service and cost
  • Partner with IT and cross-functional teams to enhance analytics capabilities
  • Support implementation of new tools, processes, and reporting frameworks
  • Align stakeholders on KPI definitions, reporting standards, and insights
  • Communicate findings through clear, compelling data storytelling
  • Bring external best practices and innovative approaches to analytics
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