Business Intelligence Engineer, NA Supply Chain Execution- Production Planning Team; Fulfillment & Operations

Job :  |  Services LLC

Amazon's North America Supply Chain moves millions of packages every day through a network of over 300 fulfillment and sort centers. The Production Planning team is responsible for deciding how many people we need, where we need them, and when — across every site, every shift, every week. Getting this right means customers get packages on time. Getting it wrong means millions in wasted labor or missed delivery promises.

We are looking for a Business Intelligence Engineer who will build the analytics backbone that powers these planning decisions. You will not just write queries and build dashboards. You will own the data infrastructure that hundreds of planners and operators rely on every single week to make headcount and capacity decisions across the network. Your work will directly influence how Amazon allocates tens of thousands of labor hours and millions of dollars in workforce spend.

This is a high ownership role. You will take ambiguous business questions, figure out where the data lives, build the pipeline to transform it, deliver it in a format stakeholders can act on, and then measure whether it actually drove better decisions. You will operate at the intersection of data engineering, business intelligence, and operational planning at a scale few companies can offer.

• Own the development and maintenance of dashboards and automated reports that surface critical production planning metrics to stakeholders across the NASC network.
• Collaborate with cross functional business teams including NASC Operations, Workforce Staffing, Network Design and Planning, and Regional Planning to translate workforce planning questions into analytical frameworks and deliver actionable insights that drive real decisions.
• Design, build, and deploy data pipelines using Python, SQL, AWS Lambda, Athena, and Redshift. Monitor pipeline health proactively. Ensure reliable and timely data delivery aligned to weekly planning cadences where a one day delay means planners are flying blind.
• Build and maintain curated datasets that serve as the single source of truth for capacity planning across the network. This includes a centralized data lake with well defined schemas, partition strategies, lineage documentation, and freshness SLAs that multiple downstream consumers depend on.
• Identify and implement automation opportunities that reduce manual data processing. Every hour a planner spends pulling data manually is an hour they are not spending on strategic planning decisions. Your job is to eliminate that waste through scalable self service solutions.
• Maintain clear documentation of data sources, business logic, transformation rules, and dataset schemas.

• 2+ years of analyzing and interpreting data with Redshift, Oracle, No
  
  SQL etc. experience
• Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS Quick Sight, Cognos or other third-party tools
• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
• Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability)
• Knowledge of data modeling and data pipeline design

• Master's degree or above in statistics, business analytics, data analytics, data science, computer science or related field
• Experience in designing and implementing custom reporting systems using automation tools
• Experience with statistical analysis, co-relation analysis
• Knowledge of OLAP technologies and BI analytics

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience,…