Business Intelligence Engineer (BIE), PGX, EU INTech
Amazon.com
The EU International Technology (EU INTech) charter for Partner Growth and Experiences (PGX) is established to deliver coherent and personalized experiences for Selling Partners (SP) and Amazon teams, enabling them to manage their business growth across Amazon WW stores as a single-store experience, benefiting Amazon customers by accelerating Amazon flywheel. Our mission is to delight Customers and enable long-term success of Selling Partners by building the most trusted shopping experiences and a suite of services, tools and experiences that drive efficiency, growth and transparency for both, our Selling Partners and internal Retail teams, throughout their selling journey and across regions.
Key job responsibilities
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be good at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.
The person will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
A day in the life
This person will own the production and delivery of suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve:
1) Delivery of standardized performance metrics for global customers and stakeholders.
2) Partner with existing Product Managers, Business Leaders in executing defined roadmap of projects.
3) Provide ad-hoc support to EU INTech finance and business services for SQL report creation, modification and optimization.
4) Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates.
Key job responsibilities
As an Amazon Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep experience in the design, creation, management, and business use of large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be good at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions.
The person will need to effectively communicate across all levels and be self-motivated to raise the bar on deriving insights from analytics and identify opportunities to delight the customers. Above all you should be passionate about bringing large datasets together to answer business questions and drive change.
A day in the life
This person will own the production and delivery of suite of analytics reports and dashboards used by the organization to make key business decisions. This will involve:
1) Delivery of standardized performance metrics for global customers and stakeholders.
2) Partner with existing Product Managers, Business Leaders in executing defined roadmap of projects.
3) Provide ad-hoc support to EU INTech finance and business services for SQL report creation, modification and optimization.
4) Debug report issues, unblock workflows and communicate with other teams and stakeholders by providing regular status updates.
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