Senior Business Intelligence Engineer , Delivery Speed and Long-term Planning
DESCRIPTION
Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you.
The team: Global transportation services, Speed and Long-term Planning
- Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion.
- We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe.
- Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions.
- We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms.
- Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day.
Key job responsibilities
You will be responsible for leading data analysis and insight generation efforts to support speed differentiation strategy across Europe and North America. Navigating highly complex and strategic scope across end-to-end supply chain, including tradeoffs between cost to serve, customer delivery speed, selection, growth and long-term profitability. This is a role for an exceptionally talented person, with high energy and courage, passionate about delivering concrete improvement for our customers, and that want to achieve that using data.
The role includes 60% analytical activities and 40% of stakeholder/project management.
Data Analytics/Science:
- Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support speed differentiation strategy in Europe and North America
- Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritise fixing system defects.
- Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies.
- Perform deep-dives and data analysis using SQL (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision
Innovation & Stakeholder/Project management:
- Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to accelerate speed of deliveries
- For the most complex and ambitious opportunities, quickly launch new pilots, and build scale-up business case with benefits, tradeoffs, bottlenecks, risks and resources required
- For the algorithmic opportunities, work with teams of software developers and research scientists to design the next round of software innovation
- Lead regular business review with partner teams to monitor the progress of projects in the roadmap. Help into removing bottlenecks
- Consolidate progress into crisp and concise data-driven status updates. You will own reporting to Amazon senior leadership (VP-level)
BASIC QUALIFICATIONS
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience in the data/BI space
PREFERRED QUALIFICATIONS
- Experience managing, analyzing and communicating results to senior leadership
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