EU CS Sr BIE Manager, Data, Insights and Design

Amazon's Customer Service (CS) department is seeking an experienced Business Intelligence Engineer Manager to join the team. Customer service is the heart of Amazon, our vision is to be "Earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online."

The successful candidate will be a key member of the EU CS Data, Insights & Design team (DID). The team mission is to shape the future of decision making using next generation analytics technologies, insights and improve the customer experience together with our EU business partners.

As the EU CS DID BIE manager, you will translate business problems into actionable business insights. You are an analysis expert who leverages a variety of data platforms and analytical tools to provide a holistic view of the customer experience. You build deep contextual and domain knowledge, ensure data quality and build scalable tools. You effectively communicate findings across a wide range of senior stakeholders.

This position can be located in any internal EU CS site.

Key job responsibilities
Responsibility includes but is not limited to:
- Able to take the lead on the technical solution to a complex and ambiguous business problem.
- Able to use statistical or graphical methods to calibrate and assess KPIs. Able to set alarms on metrics based on historical variance and calculate confidence intervals and statistical tests.
- Able to communicate your ideas effectively to achieve the right outcome for your team and customer.
- Work on large BI solutions and defining the team's BI strategy.
- Solutions are robust, extensible and scalable.
- Knows how to design and implement technical solutions with an appropriate analytics strategy and data set design.
- Understands system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions.
- Provides solutions that inform multiple team's business decisions.
- Drives best practices in operational excellence, data modelling, and analysis
- Communicate complex analytical insights and business implications effectively.
- Assure your team development and growth.
- Assure team's performance, compliance and quality goals are met.

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
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing a data or BI team
- Experience leading and influencing the BI strategy of your team or organization
- Experience in delivering results managing a business intelligence or analytics team, including employee development and performance management, Experience working with very large data warehousing environment
- Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
- Experience with statistical methods (e.g. regression) to solve difficult business problems and understand these methods' assumptions and limitations.

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