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Peloton // connected indoor fitness cycles
 
New York City    Posted: Thursday, March 12, 2020
 
   
 
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JOB DETAILS
 

Peloton is seeking a motivated Logistics Analyst within its Supply Chain & Logistics team to drive scalability & operational improvements in how we manage the deployment of inventory.

The mission of the Logistics & Operations team is to deploy inventory across a complex global supply chain & manage product lifecycle transitions. Operations at Peloton are critical to ensuring a successful delivery experience for customers, while balancing cost & operational efficiencies for the company.

The Logistics Analyst role plays a critical role in both day to day operations & well cross-functional projects, & affords many opportunities to contribute, learn, & grow with Peloton.

The ideal candidate is creative, curious, analytical & possesses the ability to juggle multiple projects with varying levels of involvement.

RESPONSIBILITIES:


  • Manage forward/reverse deployment of inventory to/from all locations to ensure continuity of fulfillment operations

  • Determine optimal quantities, safety stock, replenishment quantity, etc

  • Optimize shipping methods & carrier mix to balance cost & SLAs

  • Manage our freight vendors & interface with warehouse operators to achieve key goals. This includes includes identifying SLAs, monitoring volatility in cost benchmarks, planning for unique projects, & working through sticky situations

  • Identify opportunities for improvement in gaps & inefficiencies in our operations

  • Define KPIs to measure the end-to-end health of the relevant part of our operations

  • Model costs & operational tradeoffs for varying logistics scenarios

SKILLS & ATTRIBUTES:


  • 1-3 years of professional experience in logistics

  • Comfortable with finding resolution through ambiguity

  • Desire to work in a fast-paced environment with a bias towards action

  • Executive level communication skills

  • Proficient in Excel, comfortable with large data sets. SQL a plus, but not required.

  • Comfortable in setting up highly analytical models

  • Keen to go deep into problems when necessary, but elevate to 80/20 solving

  • Effortlessly transition between working autonomously & collaboratively
 
 
 
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