Distribution Logistics Data Analyst

Vista OutdoorsHyde Park, UT
143d$55,000 - $78,000

About The Position

Revelyst, is a collective of makers who design and manufacture performance gear and precision technologies. Our category-defining brands leverage meticulous craftsmanship and cross-collaboration to pursue innovation and redefine what is humanly possible in the outdoors. The Distribution Logistics Data Analyst plays a critical role in shaping business strategy by leveraging data to uncover trends, identify inefficiencies, and highlight opportunities for improvement across our global distribution network. This position offers the opportunity to drive impactful change through data-driven insights that enhance operational performance and support strategic decision-making. This position report to the Sr. Director, Global Logistics Transformation and is based in Rantoul or one of our platform locations (San Diego, Bozeman, Irvine, Logan, UT).

Requirements

  • 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
  • Proficiency in data analysis tools such as Excel, SQL, Tableau, Power BI, or Python
  • Excellent communication and presentation skills
  • Detail-oriented with strong organizational abilities

Nice To Haves

  • Experience with WMS, TMS, or ERP systems

Responsibilities

  • Analyze large datasets to identify trends, patterns, and inefficiencies in distribution operations
  • Develop and maintain dashboards and reports to track KPIs critical to analysis of business performance
  • Conduct root cause analysis to support continuous improvement initiatives
  • Collaborate with logistics teams, warehouse managers, 3PL partners, and supply chain planners to improve distribution strategies
  • 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
  • Present findings and actionable insights to both technical and non-technical stakeholders
  • Support cross-functional teams with data-driven recommendations

Benefits

  • medical and dental
  • vision
  • disability and life insurance
  • 401K
  • PTO
  • paid holidays
  • gear discounts

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Miscellaneous Manufacturing

Education Level

Bachelor's degree

Number of Employees

5,001-10,000 employees

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