Supply Chain Data Analyst: Insights, Modeling & Optimization

Springs Window Fashions and Affiliated Companies

Town of Middleton (WI)

Hybrid

USD 65,000 - 90,000

Full time

8 days ago
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Job summary

Springs Window Fashions is hiring a Supply Chain Data Analyst at our Corporate Headquarters in the Madison, WI area. This is a hybrid role with three days in office and two days remote. The role focuses on leveraging data to drive decision-making and process improvements across the supply chain.

The ideal candidate will have a strong analytical mindset, with advanced SQL, Power BI, and Anaplan skills, and experience communicating data-driven insights to cross-functional teams.

Qualifications

  • Bachelor's degree in supply chain, data analytics, or related field; master's is a plus.
  • 2+ years of data analysis experience, preferably in supply chain.
  • Proficiency with SQL for data extraction and analysis.
  • Advanced Power BI skills for dashboards and visualization.
  • Hands-on Anaplan modeling experience required.

Responsibilities

  • Perform data analysis and reporting to monitor supply chain metrics and trends.
  • Develop and maintain Power BI dashboards; monitor data quality and accuracy.
  • Build and optimize Anaplan models for demand planning and inventory management.
  • Collaborate with supply chain, procurement, finance, and IT to translate business needs into data solutions.
  • Ensure data governance, validation, cleansing, and documentation across sources.
  • Conduct ad-hoc analyses to support various supply chain initiatives.

Skills

SQL
Power BI
Anaplan

Education

Bachelor's degree in SCM / Data Analytics

Tools

Excel

Job description

Springs Window Fashions is hiring a Supply Chain Data Analyst at our Corporate Headquarters in the Madison, WI area. This is a hybrid role with three days in office and two days remote. The role focuses on leveraging data to drive decision-making and process improvements across the supply chain.

The ideal candidate will have a strong analytical mindset, with advanced SQL, Power BI, and Anaplan skills, and experience communicating data-driven insights to cross-functional teams.

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