Operational Excellence Analyst, Global Operational Excellence

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Operational Excellence Analyst , Global Operational Excellence
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The Operational Excellence Analyst in Global Operational Excellence (GOX) drives data-driven performance improvements across Amazon's EU Inbound Supply Chain operating in a cross-functional environment with Cross Dock and Fulfillment Center Operations, Transportation, Analytics, and Planning Systems teams.
This role owns the technical analysis and automation behind regional Inbound Speed and Delivery Estimate Accuracy (DEA) metrics.
You will build scalable data pipelines, write production-grade SQL against petabyte-scale warehouses, and develop analytical tooling to identify, quantify, and eliminate placement defects, transportation disruptions, and supply chain backlog connecting systemic root causes to shop-floor impact and customer delivery outcomes.
You will develop automated monitoring systems, statistical models, and simulation frameworks to surface improvement opportunities before they impact customers.
Your work will span from exploratory data analysis on large-scale datasets to building self-service tools that enable business partners to make data-driven decisions in real time.
The role requires deep technical proficiency in data extraction, transformation, and analysis combined with the ability to translate complex findings into actionable recommendations for senior leadership.
You will design and implement end-to-end analytical solutions: from raw data ingestion through insight delivery, working across Andes/Redshift, Athena, S3, Python automation, and visualization platforms.
We are seeking a technically strong specialist with passion for data engineering, process improvement, and operational analytics someone who can independently mine complex datasets, identify systemic patterns, and drive measurable improvements to customer delivery experience across EU marketplace.
Key job responsibilities
Own the data infrastructure behind Inbound Speed and DEA metric reporting building automated ETL pipelines, scheduled queries, and alerting mechanisms
Write advanced SQL (window functions, CTEs, recursive queries, query optimization) against large-scale data warehouses (Andes/Redshift, Athena) to perform root cause analysis on placement and transportation defects
Develop Python-based automation for data processing, anomaly detection, and reporting workflows reducing manual intervention and accelerating insight delivery
Build statistical models to quantify the impact of transportation disruptions, supply chain backlog, and placement deficiencies on customer delivery promises
Design and maintain dashboards and self-service analytical tools (QuickSight, automated reports) enabling stakeholders to detect problems ahead of customer impact
Drive the process improvement roadmap with data-backed proposals influencing decision-making at all levels through rigorous quantitative analysis
Perform large-scale data mining across multiple database systems (Redshift, Athena, DynamoDB)



to identify patterns in transship flows, delivery accuracy, and network performance
Collaborate with technology teams to translate analytical findings into system requirements, new features, and configuration changes
Develop and document automated data quality checks and monitoring frameworks for critical operational metrics
Act as technical enabler for front-line teams building tools that surface defects, identify root causes, and track corrective action effectiveness
A day in the life
Write and optimize complex SQL queries across multiple data sources to investigate why customer delivery promises were missed —tracing issues back to specific products, warehouses, or shipping routes
Build and maintain Python scripts that automate daily/weekly data pulls, transformations, and reporting deliverables
Collaborate with Business Intelligence Engineers, Program Managers, and Finance Analysts to develop scalable metrics frameworks
Perform deep-dive investigations on specific shipments or orders, then scale findings using statistical methods to quantify network-wide impact
Translate operational challenges raised by business teams into structured analytical problems — designing technical solutions that address the root cause, not just the symptom
Partner with tech teams to define data requirements and validate system changes through pre/post analysis
Present data-driven recommendations to senior leadership with clear quantification of customer and cost impact
Develop and maintain scheduled data transformation jobs for automated reporting
Monitor automated alerting systems and triage emerging operational issues using real-time data
About the team
The Global Operational Excellence (GOX) team drives operational improvements across Amazon's EU fulfillment network and ROW.
We work at the intersection of technology and operations to optimize how inventory is placed, moved, and delivered reducing costs while improving customer experience.
Our team leverages large-scale data analysis, automation, and cross-functional collaboration to solve complex supply chain challenges across Inbound Speed, Delivery Estimate Accuracy (DEA), and network performance.
Basic Qualifications
Bachelor's degree or equivalent qualification in Math, Engineering, Science or Business
Experience in ETL management/data pipeline
Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
Experience working with operations and business teams to communicate problem impacts and understand business requirements
Experience in creating process improvements with automation and analysis,



or experience in building financial and operational reports/data sets that inform business decision-making
Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
Experience in data analytics, business intelligence, or data engineering within operations/supply chain
Python programming experience writing scripts for data manipulation (pandas, numpy), automation (boto3, scheduling), and basic statistical analysis
Preferred Qualifications
Master's degree or above in supply chain management, operations, engineering, analytics or related field
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Knowledge of supply chain management concepts - forecasting, planning, sourcing, optimization and logistics or equivalent
Experience with statistical methods (e.g., A/B Testing, Regression)
Experience in logistics, transportation, supply chain, import/export operations, or data entry/data administration
Experience in automation or monitoring frameworks, deployment or development
Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
Amazon is an equal opportunities employer.
We believe passionately that employing a diverse workforce is central to our success.
We make recruiting decisions based on your experience and skills.
We value your passion to discover, invent, simplify and build.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon.
Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information.
The minimum gross base salary for this position is listed below.
The base salary listed corresponds to working on a full-time basis.
For tempo parziale hours, the salary will be pro-rated.
Amazon reserves the right to offer a higher salary and/or level, depending on the candidate's skills, competencies, and experience.
Amazon's package may include a sign on payment.
In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Inc. in USA.
Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.
In addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms.
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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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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7bfghg