Business Intelligence Engineering Manager
Il y a 7 mois
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 the data/BI space
Want to work for a truly global reliability team? This is an opportunity with Central RME to expand your knowledge and support a great analytics team. Amazon strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated, and friendly work environment.
Key job responsibilities
- Develop a team of BIEs and BAs to support the analytics need for Central RME.
- Define the long-term vision and portfolio of initiatives to improve the customer experience and business results through creating world-class metrics, analysis, visualizations, and data-driven storytelling.
- Drive a Business Intelligence roadmap; prioritize business insight requests to balance the tactical and strategic information needs of the business
- Lead the definition and governance of key business metrics, drive the vision and building of self-service analytic capabilities, and engineer data-driven processes to reduce maintenance costs.
- Review latest AWS solutions, develop proof of concept ideas performing cost benefit analysis to develop new product catering to diverse customer needs.
- Interface with business customers and product managers, gather requirements and deliver accurate, easy to use and scalable Business Intelligence solutions.
- Establish trade off mechanisms to evaluate BI tool capabilities comprising of tools such as Tableau / Looker / Quicksight to name a few.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Luxembourg, LUX
- 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
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