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Analyst, Network Strategy and Performance, Network Strategy and Performance

Amazon.com Inc

  • Seattle, WA
  • 5 days ago

    Highlights

    The Network Strategy and Performance (NSP) team defines and delivers the right human-assisted support to Amazon customers under demand and labor supply volatility, by optimizing the Amazon Customer Service (CS) network for customer experience, associate experience, and cost. You will model network scenarios spanning 100+ sites across 40+ countries, inform multi-year investment decisions, and deliver insights that influence headcount allocation, site strategy, and contact routing for one of the world"s largest customer service networks.

    Numbers & Facts

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

    Description

    As an Analyst within the Network Strategy Performance team, you will own analytics that directly shape where and how Amazon serves customers globally. You will model network scenarios spanning 100+ sites across 40+ countries, inform multi-year investment decisions, and deliver insights that influence headcount allocation, site strategy, and contact routing for one of the world"s largest customer service networks.

    This isn"t a reporting role - you"ll tackle ambiguous, high-stakes questions: Where should we expand next? How do we balance cost-to-serve against customer experience across geographies? What"s the optimal site mix for the next three years? Your analysis will flow directly into monthly, OP and 3YP cycles that leadership uses to allocate resources.

    You will partner closely with Operations, Products, FP&A, and Service Delivery teams - identifying gaps, measuring performance, and driving automation and process improvement initiatives. You will contribute to the team"s AI-driven transformation agenda by applying AI tools to increase the speed, quality, and scale of analytical outputs.

    Key job responsibilities

    • Own analytical inputs for network planning - model contact allocation scenarios, site investment options, and capacity strategies across geographies. Build and maintain the frameworks that determine how millions of weekly customer contacts are distributed across the global CS network, coordinating with Finance, and Service Delivery teams to ensure alignment with cost and CX targets.
    • Translate complex or ambiguous network strategy questions into structured analysis - e.g., site expansion feasibility, cost-to-serve trade-offs, regional performance variance. Dive into the heart of ambiguous problems with non-defined inputs and outputs, identify root causes driving site or network-level performance gaps, and derive recommendations that influence headcount allocation, site investment, and network architecture decisions.
    • Independently apply AI tools (e.g., Amazon Q, generative AI assistants, AgentZ) to accelerate analytical workflows, identifying opportunities to improve speed and quality of planning outputs. Develop side-of-desk automation for repetitive tasks within your workstream, demonstrating measurable productivity improvement.
    • Design, implement, and support self-service analytics platforms that provide business teams with ad-hoc access to large datasets. Drive automation of data requirements by scaling data processes, creating dashboards, and building efficient queries across diverse data sources (contact volumes, productivity metrics, cost data, CX scores) to provide a holistic view of network performance.
    • Communicate complex analytical insights and translate network performance data into clear narratives for Finance, Service delivery and senior leadership. Present analysis to leadership audiences with clarity and conviction. Participate in strategic and tactical planning discussions (OP, 3YP, QXG), producing well-structured documents that tie conclusions to business outcomes.

    About the team

    The Network Strategy and Performance (NSP) team defines and delivers the right human-assisted support to Amazon customers under demand and labor supply volatility, by optimizing the Amazon Customer Service (CS) network for customer experience, associate experience, and cost. We are responsible for: (1) planning customer support staffing; (2) preserving the customer experience when customers contact Customer Service; and (3) ensuring best costs for providing customer support.

    We analyze historical data and anticipate potential business events to accurately predict the number of Customer Service Associates (CSAs) required for a given period. Our areas of expertise span forecasting, planning, optimization, data analytics, execution and reporting. We deliver our vision using operations research, data science, and program management - and we continue to challenge the status quo, invent and simplify, and deliver excellence for our customers.

    The Network Performance team is on a transformation journey. We are building a future-ready team that combines analytical rigor with AI fluency, executive-level communication, and the ability to drive outcomes across organizational boundaries. We are seeking a Analyst to join this team and help shape how Amazon plans, staff, and optimizes its Customer Service network.

    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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