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Revelyst is looking to improve its global distribution network by identifying trends, inefficiencies, and opportunities for improvement through data analysis to enhance operational performance and support strategic decision-making.

Requirements

• Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or Python.
• Experience with WMS, TMS, or ERP systems.

Responsibilities

• Analyze large datasets to identify trends, patterns, and inefficiencies in distribution operations
• Development and maintain dashboards and reports to track KPIs critical to analysis of business performance
• Conduct root cause analysis to support continuous improvement initiatives.
• Forecast demand and inventory levels to ensure product availability and minimize excess stock.
• Use scenario modeling and predictive analytics to support strategic planning.
• Recommend and implement process enhancements to improve efficiency and reduce costs.
• Monitor the effectiveness of implemented strategies and adjust based on performance data.

Other

• Bachelor’s degree in Supply Chain Management, Logistics, Data Science, Business Analytics, or a related field.
• 2–5 years of experience in logistics, distribution, or supply chain analytics.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Detail-oriented with strong organizational abilities.