Associate Vendor Manager, Amazon Canada

Amazon Amazon · Big Tech · Seattle, WA · Buying, Planning, & Instock Management

Associate Vendor Manager role supporting Hardlines team in Canada, focusing on driving business growth with strategic vendors, analyzing data, building relationships, and resolving operational issues. The role involves managing P&L, conducting data-driven analysis, cultivating vendor relationships, and innovating customer experiences. It offers exposure to online merchandising, buying, planning, pricing, and business analytics within the General Management career path at Amazon.

What you'd actually do

  1. Manage P&L with a long-term perspective, developing data-driven plans to sustainably improve revenue and margins while balancing short-term and long-term trade-offs.
  2. Conduct thorough analysis of key inputs and their downstream effects on pricing, selection, and convenience, using data to inform decisions and identify areas for improvement.
  3. Cultivate strategic vendor relationships through transparent negotiations and collaborative growth initiatives.
  4. Continuously innovate to enhance the customer experience, driving broad adoption by simplifying processes and removing friction points.
  5. Manage project execution with a bias for action, creating detailed project plans and holding teams accountable for high-quality, timely deliverables.

Skills

Required

  • 1+ years of account management, project or program management or buying experience
  • Bachelor's degree
  • Experience using Excel and other business analytic tools
  • Strong oral and written communication skills
  • Proven ability to multi-task
  • Detail oriented
  • Thrives in ambiguity and fast-paced environment

Nice to have

  • Experience with software and editing tools (including HTML, Excel and SQL)
  • Experience in online retail
  • Experience using analytical specific tools such as Google Analytics, SQL or HTML
  • Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
  • Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.