Boseposted 24 days ago
Full-time • Senior
Atlanta, GA
Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

We are seeking a highly skilled and motivated Senior Supply Chain Analyst to work cross-functionally within our supply chain function. As an individual contributor, you will be responsible for creating and managing a backlog of analytics projects, developing detailed plans for execution, and delivering high-impact insights to supply chain stakeholders. This role requires a deep understanding of data analysis within the supply chain domain and the ability to drive data-driven decision-making that optimizes our operations.

Responsibilities

  • Collaborate with cross-functional teams (e.g., procurement, logistics, manufacturing, planning) to identify and prioritize key supply chain analytics opportunities.
  • Analyze complex datasets to identify trends, uncover inefficiencies, and provide actionable recommendations that improve supply chain performance.
  • Deliver high-quality, data-driven insights using data visualization tools.
  • Ensure data integrity, accuracy, and consistency in all analytics processes and outputs.
  • Work closely with data teams to access and manipulate relevant data sources.
  • Create and manage a backlog of analytics projects to address business questions and operational challenges within the supply chain.
  • Develop detailed plans and timelines for executing analytics projects, ensuring timely delivery of insights to key stakeholders.
  • Continuously monitor industry trends and best practices to enhance the quality and impact of supply chain analytics.
  • Present findings and insights to leadership, facilitating data-driven decision-making across the organization.

Requirements

  • Bachelor's degree in supply chain management, Industrial Engineering, Statistics, or a related field; advanced degree preferred.
  • 5+ years of experience in supply chain analytics or a related field.
  • Strong analytical skills with expertise in data modeling and statistical analysis.
  • Proficiency in data analysis tools such as Snowflake SQL, Python and data visualization tools like Tableau or Power BI.
  • Experience working cross-functionally in a fast-paced environment, preferably within supply chain or logistics operations.
  • Proven ability to manage multiple projects and deliver results as an individual contributor.
  • Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Strong problem-solving skills and attention to detail.

Nice-to-haves

  • Experience with advanced data analytics techniques such as machine learning or optimization.
  • Experience with design thinking.
  • Ability to adapt to rapidly changing business needs and priorities.
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