Analytics Manager, Amazon

• 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
• 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

Desirable

• 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
• 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