Supply Chain Analyst

Springs Window Fashions; Town of Middleton (WI); Hybrid; USD 65,000 - 90,000; Full time

Job summary

Springs Window Fashions in the Madison, WI area is seeking a Supply Chain Data Analyst to empower the supply chain with data-driven decisions. The role is hybrid (3 in-office days, 2 remote) and requires strong SQL, Power BI, and Anaplan skills to transform data into actionable insights.

You will build dashboards, model demand planning and inventory, and collaborate with procurement, finance, and IT to drive process improvements and data governance across the supply chain.

Qualifications

• 2+ years of data analysis experience, preferably in supply chain.
• Proficiency in SQL for data extraction, manipulation and analysis.
• Advanced experience with Power BI for dashboards and visualization.
• Hands-on experience with Anaplan, including model building and maintenance.
• Strong understanding of supply chain processes and metrics.

Responsibilities

• Data Analysis and Reporting: Use SQL to extract, manipulate and analyze large datasets; develop dashboards and reports in Power BI to monitor key metrics.
• Anaplan Modeling: Build, maintain and optimize supply chain models in Anaplan to support demand planning and inventory management.
• Process Improvement: Identify opportunities to streamline and automate supply chain processes through data analysis and recommendations.
• Cross-Functional Collaboration: Work with supply chain, procurement, finance and IT to translate business needs into technical requirements and deliver data-driven solutions.
• Data Governance: Ensure data quality and consistency across sources; implement validation, cleansing and documentation.
• Ad-Hoc Analysis: Provide timely insights to support various initiatives.

Skills

Data analysis

SQL

Power BI

Anaplan

Communication

Cross-functional collaboration

Education

Bachelor's degree in Supply Chain Management

Bachelor's degree in Data Science

Bachelor's degree in Business Analytics

Master's degree (optional)

Tools

Excel

Python

R

ERP systems

Job description

Springs Window Fashions is hiring for a Supply Chain Analyst at our Corporate Headquarters in the Madison, WI area.

This is a hybrid role with 3 days each week in office, two days working remotely.

Job Summary: The Supply Chain Data Analyst will play a crucial role in supporting the supply chain team by leveraging data to drive decision-making and process improvements. This role will require a strong analytical mindset, advanced skills in SQL, Power BI, and Anaplan, and the ability to transform data into actionable insights. The ideal candidate will have a deep understanding of supply chain processes and be able to effectively communicate data-driven recommendations to cross-functional teams.

Key Responsibilities

• Data Analysis and Reporting: Utilize SQL to extract, manipulate, and analyze large datasets from various sources, ensuring data integrity and accuracy. Develop and maintain dashboards and reports in Power BI to monitor key supply chain metrics, identify trends, and support strategic decision-making.
• Anaplan Modeling: Build, maintain, and optimize supply chain models in Anaplan to support demand planning, inventory management, and other critical processes. Collaborate with stakeholders to gather requirements and implement changes to enhance model functionality and efficiency.
• Process Improvement: Identify opportunities to streamline and automate supply chain processes using data analysis. Provide recommendations to improve efficiency, reduce costs, and enhance overall supply chain performance.
• Cross-Functional Collaboration: Work closely with supply chain, procurement, finance, and IT teams to understand business needs, translate them into technical requirements, and deliver data-driven solutions. Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Data Governance: Ensure data quality and consistency across all supply chain data sources. Implement best practices for data management, including data validation, cleansing, and documentation.
• Ad-Hoc Analysis: Perform ad-hoc analysis to support various supply chain initiatives and projects, providing timely and accurate insights to drive business decisions.

Education

• Bachelor's degree in Supply Chain Management, Data Science, Business Analytics, or a related field. A master's degree is a plus.

Experience

• 2+ years of experience in data analysis, preferably within the supply chain domain.
• Proficiency in SQL for data extraction, manipulation, and analysis.
• Advanced experience with Power BI for dashboard creation and data visualization.
• Hands-on experience with Anaplan, including model building and mai ntenance.
• Strong understanding of supply chain processes and metrics.

Technical Skills

• Proficiency in SQL, Power BI, and Anaplan.
• Experience with other data analysis tools (e.g., Excel, Python, R) is a plus.
• Knowledge of ERP systems and their integration with supply chain processes.

Soft Skills

• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills, both written and verbal, with the ability to convey complex data insights to non-technical audiences.
• Ability to work independently and as part of a team in a fast-paced environment.

Behavioral Competencies

• Ensures Accountability – Holding self and others accountable to meet commitments
• Drive Engagement – Creating a climate where people are motivated to do their best to help the organization achieve its objectives
• Instill Trust – Gaining the confidence and trust of others through honesty, integrity, and authenticity
• Drive Results – Consistently achieving results, even under tough circumstances
• Consumer/Customer Focus – Building strong customer relationships and delivering on customer-centric solutions
• Critical Thinking – Making Sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
• Being Resilient – Rebounding from setbacks and adversity when facing difficult situations
• Optimize Work Processes – Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement