If you are interested building a very large and a brandnew planning system from scratch this is an opportunity for you. We are building a suite of technology platforms and modules for a strategic growth organization. This is a greenfield architecture and a highly visible charter. You will be a critical voice in the decisionmaking process create a substantial impact on product features and will have the ability to redefine the customer experience.
Welcome to Project Nazir where we are building multiple products from scratch to manage the endtoend planning and financial processes for Global Engineering Service (GES). This is a multiyear initiative.
The GES organization is responsible for the design and construction of all Amazon fulfillment related facilities across the Amazon global network. This strategic organization builds and invests in the capacity to deliver growth for Consumer Fulfillment Amazon Transportation Amazon Air Global Specialty Fulfillment (GSF) and PillPack. GES spends tens of billion dollars in the construction of assets to deliver on capacity for planned shipping and retail demand for our external customers.
To build this suite of planning and financial systems we will stretch the limits of distributed systems and big data processing to solve hard technical problems and unprecedented scale challenges.
As part of this team you will work with executive leaders engineering product and operations stakeholders to drive process improvement generate ideas validate entitlement and then produce a path to production. You will define product strategy develop the product development roadmap and drive . Youll work in a fastpaced environment and will be required to lead not only at the strategic level but also tactically daytoday by diving deeply into business and technical domains.
Key job responsibilities 1. Build and maintain Business Reporting and KPI dashboards. 2. Work/advice Tech and Partner teams for Data Retrofits activities 3. Maintain and update data models for data exports 4. Build Product adoption and usage KPIs (require integration with X datasets) 5. Build data pipelines 6. Maintain ETL and streaming jobs
10 years of professional or military experience 5 years of SQL experience Experience programming to extract transform and clean large (multiTB) 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 managing analyzing and communicating results to senior leadership
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