Senior Business Analyst, Amazon Freight

Amazon spent decades building one of the best supply chains in the world to run its own business, moving, storing, and delivering products fast and reliably. Amazon Supply Chain Services (ASCS) now opens that same network up to other businesses, so any company can use Amazon"s multimodal ground and air freight, warehousing, distribution & fulfillment, and parcel shipping to run their own operations. Think of it like what AWS did for cloud computing, but for supply chain, and it is just getting started.

We"re looking for a Senior Business Analyst to turn ASCS"s data into decisions - you don"t just report what happened - you crisply explain why it happened, what it means for the business, and what we should do differently tomorrow. You"ll dig into complex, messy datasets, build the dashboards and pipelines that make performance visible, and deliver the insight that changes what leadership prioritizes next. The role spans strategic and tactical work - from defining the analytical framework to writing the query yourself. It"s highly visible, cross-functional, and not for someone who wants a narrow lane.

The ideal candidate will be a sharp SQL and BI practitioner who builds things that scale, translates ambiguity into structure, and transforms data into narratives that drive action. You are comfortable embracing ambiguity, translating multi-channel performance data into a clear narrative, and changing a stakeholder"s mind with evidence rather than opinion. You work backward from the customer, you dive deep rather than accepting the first plausible explanation, and you"d rather build a scalable solution once than answer the same ad hoc question five times.

Key job responsibilities

• Turn operational and performance data into insights and narratives leadership can act on - not just charts, the "so what."
• Work with large, complex, sometimes-ugly datasets using the right tool for the job, whether that"s SQL, Python, or a spreadsheet.
• Partner with Product, Program, Engineering, and Sales to define data requirements and build BI solutions that actually get used, not just launched.
• Build and own self-serve analytics - dashboards, drill-downs, alerts, and metric definitions - so performance is obvious at a glance across ASCS service lines.
• Define measurement frameworks that connect acquisition, engagement, and operational KPIs, and run retrospectives that end in specific optimization actions, not just observations.
• Identify what"s actually driving key metrics, quantify the impact, and make the call on where the business should invest next.
• Build automated pipelines and reporting that cut manual effort and speed up decisions.
• Mentor junior analysts on technique, problem-solving, and how to land a recommendation with a room full of stakeholders.