Senior Business Intelligence Engineer, Amazon

• This role requires an individual with analytical abilities, as well as business acumen and comfort with technical teams and systems
• The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment
• Bachelor’s/Master’s degree in a quantitative field such as Information Systems, Computer Science, Operations Research, Statistics, Mathematics etc
• Experience as a Business Intelligence Engineer, Business Analyst, Data Engineer, or similar roles
• Proficiency with SQL and programming languages with a focus on data analytics (Python, R, Java etc.)
• Expertise in modern data warehousing techniques (dimensional data modelling, experience with ETL, etc.)
• Proven expertise in building reports and BI analysis with tools such as Tableau, QlikView, SAP Business Objects etc
• Excellent written and verbal communications skills
• Ability to work independently in a fast-paced and rapidly changing environment
• Strong analytical skills, a passion for metrics and figures, you have very high attention to details and you like to structure and organize things so that they make sense

Desirable

• We improve customer experience by continuously optimizing the complex movements of goods from vendors and sellers to customers throughout Europe
• Our operations teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers, and developers
• We focus on defects reduction among the complex problems, operational processes, key tradeoffs, and critical decisions at Amazon
• We work with fulfillment centers, transportation, finance, and retail teams across the world, to assess impactful defects, define and implement short and long-term improvement plans
• Defects Reduction connects with core operational organizations responsible for our fulfillment centers, internal and external transportation capabilities, customer returns, and finance teams
• We obsess about our end-to-end supply chain to make it efficient, drive out defects for our customers, and continuously reduce waste from processes
• Our overall mission is simple: we strive towards reaching zero defects across our end-to-end operations
• You will lead data analysis and insight generation efforts to support the Defects Reduction program across Europe and North America
• This role requires navigating highly complex, strategic scope across the end-to-end supply chain, understanding core operational activities, exposing defects and inefficiencies, surfacing tradeoffs between cost, customer experience, growth, and long-term profitability
• The role includes 80% analytical activities and 20% stakeholder/project management
• You'll autonomously develop and lead design, validation, and execution of advanced metrics, reporting and bridging capabilities to support the Defects Reduction program across Operations from inbound, fulfillment, transportation, to customer returns
• You will transform data into insights and improve complex processes across the entire supply chain, working with partner operations and data science teams to identify and eliminate defects
• Perform detailed data set investigations, quality checks, proactively identifying and fixing discrepancies, and establishing modular connectivity between data sets across the wide variety of operational data sources
• Perform deep-dives and data analysis using SQL (>10TB) to uncover insights for known and new defects
• Provide recommendations for initiatives and establish metrics to drive business actions and trade-off decisions
• Develop and share insights with partner teams across supply chain, to influence the immediate defect reduction priorities, and build a 3-year roadmap of initiatives to reach zero defects across our end-to-end operations
• For complex and ambitious opportunities, design and launch pilots, build business cases, expose tradeoffs, show bottlenecks, highlight risks required to solve in order to maximize defect reduction impact
• For algorithmic opportunities, work with partner data science teams, software developers, and research scientists, to design and guide the next round of innovative solutions to drive large step change improvements
• Lead regular reviews with partner teams to monitor the progress of projects across the roadmap
• Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (SVP/VP-level)
• Day-to-day a senior business Intelligence Engineer starts the day by analyzing various defect data sets (damages, concessions, lost items, efficiency losses under the roof and on the road, collaborating with cross-functional teams to assess processes and generate insights
• They create reports and dashboards to help decision-making for operations stakeholders
• They work closely with operational data science teams, tech software developers, applying BI tools to maximize defect reduction initiatives
• Solving complex problems related to defects, they contribute to Amazon's goal of providing exceptional customer experiences and lowering the cost-to-serve for customers