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Position Overview

The Data Analyst will play a critical role in analyzing, interpreting, and visualizing data to support strategic initiatives across various departments. This role requires strong analytical skills, attention to detail, and a deep understanding of supply chain operations within the automotive parts industry.

The ideal candidate will be proficient in SQL, Python, and BI tools while demonstrating a proactive approach to problem-solving and data-driven decision-making.

Key Responsibilities

? Data Analysis & Reporting:

• Analyze inventory levels, demand forecasts, and distribution efficiency across North America.
• Develop interactive dashboards and reports using tools like Power BI or Tableau for cross-functional teams.
• Track and report Key Performance Indicators (KPIs) related to order accuracy, fill rates, and supply chain performance.

? Supply Chain Optimization:

• Collaborate with the Logistics, Sales, and Operations teams to identify inefficiencies and propose data-backed solutions.
• Utilize historical data to forecast demand, reduce excess inventory, and enhance order fulfillment performance.

? Data Integrity & Governance:

• Maintain data integrity and accuracy across ERP, WMS, and CRM systems.
• Develop data validation processes to identify discrepancies and ensure clean, reliable datasets.

? Collaborative Insights:

• Work closely with IT and Business Intelligence teams to develop automated reporting processes.
• Partner with leadership to translate complex data insights into practical, business-friendly recommendations.

? Process Improvement:

• Evaluate and optimize existing data models and develop new models to support evolving business needs.
• Provide ad-hoc analysis to support executive decision-making and operational improvements.