Senior Business Intelligence Engineer, Amazon

• We are seeking an experienced, self-driven, and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills
• Experience with SQL, data modeling, ETL development, and data warehousing
• Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights
• Experience with AWS technologies (including Redshift, S3, Lambda etc.)
• Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.)
• Ability to self-direct, multitask, and prioritize a constantly evolving workload
• Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
• Proven ability to meet tight deadlines, multi-task, and prioritize workload
• Proven ability in Optimizing complex SQL queries
• Experience working directly with business stakeholders to translate between data and business needs

Desirable

• This position is critical in building scalable and generic data models that power our global operational excellence initiatives
• You will be part of a dynamic team, working alongside Applied Scientist, Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team
• In this role, you will contribute across all layers of our data solution ecosystem
• You'll work closely with software development engineers to implement robust data infrastructure solutions, collaborate with product managers to build scalable data models, and dive deep into our data with a strong bias for action to generate insights that drive business improvements
• Your work will directly impact Amazon's operational efficiency and customer experience worldwide
• Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components
• Design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance
• Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies
• You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms
• Your role will be instrumental in driving operational excellence within the team, building automation and mechanisms to reduce operations overhead, and collaborating with peers in a group of talented engineers
• Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment
• To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills
• Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale
• About the team
• GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects
• It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost
• Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology
• The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network
• Join us in shaping the future of operational excellence at Amazon, where your work will directly contribute to improving our worldwide operations and customer experience
• GOX team is part of EU STEP org that brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution
• It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams
• This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain