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Sr. Manager, Decision Science - Supply Chain Analytics

Best Buy

  • Saint Paul, Minnesota
  • 2 days ago

    Highlights

    Manager, Decision Science - Supply Chain Analytics within the Best Buy Digital, Analytics, and Technology organization, you will be responsible for delivering high-impact analytic solutions that drive strategic and operational outcomes across the supply chain organization. You will play a critical role in shaping the team's strategy, owning work prioritization, guiding technical execution, and partnering cross-functionally to embed data-driven decision-making into the business.

    Numbers & Facts

    LocationSaint Paul, Minnesota
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1966
    Websitehttp://www.bestbuy-jobs.com/

    Description

    As a Sr. Manager, Decision Science - Supply Chain Analytics within the Best Buy Digital, Analytics, and Technology organization, you will be responsible for delivering high-impact analytic solutions that drive strategic and operational outcomes across the supply chain organization. You will play a critical role in shaping the team's strategy, owning work prioritization, guiding technical execution, and partnering cross-functionally to embed data-driven decision-making into the business. The team seeks a candidate with extensive background in supply chain operations and experience in applying analytic techniques to solve problems in supply chain.

    This role is hybrid, which means you will be required to work some days on-site at the Best Buy location listed on this posting and some days virtually from home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.

    What you'll do
    • Lead, mentor and grow a team of individual contributors
    • Act as a trusted advisor to stakeholders, understand business challenges and identify opportunities where analytical solutions can drive improved business outcomes
    • Partner with business stakeholders to develop their requests into well-structured outcome-based engagements with clear analytic solutions scope
    • Oversee the design, development and deployment of descriptive, predictive and prescriptive analytics to aide in continuous improvement of Best Buy's supply chain
    • Partner cross functionally with supply chain, technology, data operations and ML ops leaders to co-create solutions that deliver impact on operations
    • Define success metrics and determine measurement criteria for new capabilities and to monitor the performance of established strategies and operations consistently
    • Effectively communicate with diverse audiences - including technical teams, business stakeholders, and executive leadership - through both written and verbal channels
    Basic Qualifications
    • A bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, economics, management, supply chain) or equivalent experience
    • 5+ years of experience in a quantitative or supply chain field
    • 3+ years of experience applying SQL, Python, R or similar tool and using visualization tools

    About Company

    Energetic teams. Fun atmosphere. Exciting opportunities.

    That’s what you’ll find at Best Buy. Care to join us?

    You can feel the energy here. And we’re not talking about the hum of electronics (there’s that, too). We’re talking about people.

    Best Buy employees are friendly, enthusiastic and willing to help you succeed. Sure, we’re a big company — the world’s largest consumer electronics retailer — but that doesn’t stop us from having fun while doing what we love: bringing technology into people’s lives in meaningful ways.

    When you join our team, we consider you part of our Best Buy family. And what you do here every day will support our goal to make people’s lives better, easier and more enjoyable through the great products we sell.

    So if you’d like using your talents to help improve people’s lives, bring it! We’d love to have your energy here.

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