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Business Intelligence Engineer III, ORBIT - Capacity Planning BI

Amazon.com Inc

  • Austin, TX
  • 4 days ago

    Highlights

    The WW Capacity Planning BI & Analytics team partners with the business and BI teams across AMZL Business to build analytical products and generate business insights that help these planning teams produce accurate and optimal capacity within the intra-week, short-term, and mid-term planning horizons. Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations.

    Numbers & Facts

    LocationAustin, TX
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Business Intelligence - Amazon Logistics:

    Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, the WW Amazon Logistics, Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon's customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers.

    Amazon Logistics is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery.

    The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoy working with large scale of data.

    Core Job Responsibilities include:

    • Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
    • Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs
    • Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
    • Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity).
    • Analyse and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.
    • Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
    • Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

    Key job responsibilities

    Partner with internal stakeholders across multiple teams, gathering requirements and delivering end to end solutions

    Partner with Data Engineering and Software Development Engineers to prioritize and define AMZL data and BI development needs

    Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects

    Lead and develop a team of Business Intelligence Engineers and Business Analysts

    Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)

    Analyze and visualize large scale geo-spatial logistics and transaction data to articulate user behavior or delivery process problems, and output solid analysis report with recommendation.

    Serve as liaison between the WW Planning and Analytics team and the operations business teams to achieve the goal of providing actionable insights into current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations

    Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting

    About the team

    This role is within broader Amazon Logistics (AMZL) ORBIT (Operations Reporting, Business Intelligence, and Technology) team working under the WW Capacity Planning BIA team.

    The WW Capacity Planning BI & Analytics team partners with the business and BI teams across AMZL Business to build analytical products and generate business insights that help these planning teams produce accurate and optimal capacity within the intra-week, short-term, and mid-term planning horizons.

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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