At Amazon were working to be the most customer-centric company on earth. WW Selling Partner Services (SPS) mission is to enable the long-term success of our selling partners by providing the most trusted shopping and selling experience and by providing solutions for accelerating our selling partners business growth. The US Seller Business organization within SPS is responsible for driving the growth and profitability of the US Fulfillment By Amazon (FBA) and Merchant Fulfillment Network (MFN) programs.
How do we do this Data lots of data. We scour a vast array of DataWarehouse tables including offer-level evaluations historical and projected sales and profitability vendor benchmarking and heuristics to optimize Amazons profitability.
As a Business Intelligence Manager you will lead a team of engineers and analysts to empower our Finance partners through streamlined and scalable reporting mechanisms. You will set the vision and lead the expansion of an internal automation program to connect our customers with the business critical data they require. This includes building the infrastructure for regular reporting on business performance writing the logic for program-level opportunity valuation and deep diving the assumptions behind each program to test our initial hypotheses and assumptions. You will leverage the data to provide key data-driven insights enable new opportunities and innovate on behalf of our business customers. Your responsibilities will include: Owning the core reporting infrastructure and ensuring accuracy integrity and reliability Generating actionable insights through the development of metrics dashboards and deep dive analyses Serving as a technical business-metrics specialist and insight provider in the organization Acting as a key interface between our business customers and technical divisions Leading through others managing a team of engineers and analysts to deliver high-quality and impactful projects for our finance and business stakeholders
- 7 years of business intelligence and analytics experience - 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau Quicksight or similar tools - Experience with R Python Weka SAS Matlab or other statistical/machine learning software
- 4 years of working with very large data warehousing environment experience - 10 years of data warehouse technical architectures data modeling infrastructure components ETL/ ELT and reporting/analytic tools and environments data structures and hands-on SQL coding experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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