Have you ever ordered a product on Amazon and when that box with the smiley arrived wondered about its journey till your doorstep? Have you asked where it came from and how much it cost Amazon to deliver it to you? Are you a curious, analytical leader with a passion for transforming data into models, stories, and reports to answer critical business questions that will drive innovation? If so, the Amazon Logistics, Last Mile team is the right team for you. As Amazon constantly works to be the most customer-centric company on earth, a key element of customer experience is how we fulfill and deliver their orders. Amazon aims to exceed the expectations of our customers by ensuring that their orders, no matter how large or small, are delivered as quickly, accurately, and cost effectively as possible through a world class last mile operation. To meet this goal, Amazon is continually striving to innovate and provide best in class service levels through the introduction of pioneering new products and services.
The EU Delivery Service Partner (DSP) team is responsible for managing and growing the network of professional contract organizations that power Amazon’s in-house last mile delivery service. Our partners work out of delivery stations across EU and are assigned delivery routes and packages. The DSP Capacity Planning team is central to achieving the program objectives of DSP Last Mile Delivery. This team charts the strategy and plan to build DSP capacity across the delivery network. The team is responsible for building the long-term, mid-term, and short-term capacity strategy and plan for the DSP Program.
Because of the impact, this is a highly visible role with senior leaders and decision makers in Amazon operations. The team regularly leads business and planning reviews with senior operations leaders, and manages relationships and drives alignment across a variety of stakeholders – including planning, finance, fleet, expansion and the local country teams. It is also a highly innovative space requiring the incumbent to use a quantitative and analytical approach, balanced by business judgment to determine the capacity strategy, while constantly iterating on the process to drive improvements.
The successful candidate will have a talent for developing accurate perceptions from several data sets, a knack for creating simplified reporting models, and the skill to bring clear, concise insights to senior business stakeholders in an environment of rapid growth and increasing complexity. The position requires excellent business acumen, statistical knowledge, and an understanding of the value proposition/benefits in speed, cost optimization, and global scale. They will be resourceful, customer-focused, team oriented, have an ability to work independently under time constraints, and will have an ability to change focus at a moment’s notice, while still meeting deadlines. Our environment is fast-paced, and requires someone who is enthusiastic, flexible, detail-oriented, analytical, and comfortable working with multiple teams and competing priorities.
Key job responsibilities
• Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets
• Build rich data visualizations to tell the story of trends, patterns, and outliers. Test and challenge assumptions around DSP capacity planning, DSP flexibility, business size, and profitability – making recommendations for new DSP Planning constructs or improvements to existing structures and frameworks.
• Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
• Design data pipelines and automated processes which enable in-depth analysis.
• Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators
• Building automation models for our long-term and mid-term capacity planning processes
• Interfacing with cross-functional teams to fully understand, drive, and support DSP Planning
We are open to hiring candidates to work out of one of the following locations:
Clichy, FRA
BASIC QUALIFICATIONS
• Bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Finance, or related technical field
• Previous experience in analytics, data engineering or business intelligence.
• Experience using SQL, Python or scripting language, ETL and databases in a business environment with large-scale, complex datasets.
• Experience with data visualization (PyPlot, Tableau, AWS QuickSight or similar tools)
• Experience writing SQL scripts, queries, and stored procedures to extract data.
• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses
• Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions and recommendations
PREFERRED QUALIFICATIONS
• Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
• Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
• Experience with statistical analysis using python or similar tools
• Familiarity with solutions such as AWS, EC2, S3, Redshift, or DynamoDB – Knowledge and direct experience using business intelligence reporting tools. (Tableau, QuickSight etc.)
• Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets
• Experience communicating analytical outcomes to both business and technical teams
• Excellent written and verbal communication skills
• Strong interpersonal skills and advanced ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress
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