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Business Intelligence Engineer in Madrid

Amazon

Workplace
Onsite
Hours
Full-Time
Internship
No
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Job Description

Job Description

Do you want to join a fast-paced innovative business to provide analytical insight and data driven solutions? Are you excited by the prospect of analyzing and modeling large amounts of data to help solve real world problems with a business focus? Do you like to support end-to-end business problems/metrics and to provide support on the financial data of the company? Do you like to innovate and simplify? Do you like the prospect of serving as a technical lead for medium and large projects, and delegate assignments to team or cross functional participants? If yes, then you may be a great fit to join the Amazon BuyVIP team as a Data Base Manager. 

Amazon BuyVIP is a leading and fast growing "Members Only" Shopping Community with websites in Spain, Italy and Germany. We offer fashion and lifestyle products through sales events to our community members – desirable products at great prices delivered by Amazon’s shipping and service experience. Our focus is on fashion brands (apparel, shoes, accessories, beauty) – we offer also premium brands in the home, electronics or sports area.

The successful candidate will be comfortable with Machine learning techniques, advanced SQL query design and data mining techniques, have strong analytical and communication skills, and have a passion for using data to help drive business decisions. You are analytical and creative, and you don’t quit. You will blend advanced reporting with strong critical thinking. You attack complex business questions with data and curiosity, diving below the surface to identify the root cause and the “so what” rather than just superficial trends. You thrive by providing data-driven ideas that are timely, accurate, and potentially actionable.

Responsibilities:
· Play a lead role in the architecture, design, implementation and deployment of extremely large scale, critical, and complex data structures for business intelligence analysis taking into account the long term impact and performance considerations
· Independently gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture.
· Identifying and developing data analysis to uncover areas of business opportunity. Implementing solutions once approved by the leadership.
· Dive deep into massive data sets to help answer key business questions using Machine learning, SQL and other data manipulation languages
· Work with product management, technology management, and other constituents to research issues, and implement process improvements.
· Shaping and delivering key metrics, reports, and indicators by which Amazon BuyVIP will assess its performance.
· Develop and propose solutions that utilize the highest standards of analytical rigor and data integrity
· Serve as an authority in the area of technical and domain expertise
· Lead, mentor, develop, and train junior data engineers

Basic Qualifications

· 5+ years’ experience with different BI reporting tool, including administration, modeling, and development.
· ETL skills (5+ years ETL experience with relational and star schema data modeling concepts)
· Excellent knowledge of Oracle SQL and PL/SQL performance tuning
· 5+ years of hands-on industry experience in large data analyses, statistical analyses and predictive data models from scratch with business impact
· Ability to use data and metrics to back up business cases, planning, and decisions
· Excellent communication and data presentation skills
· Fluent written and spoken English

Preferred Qualifications

Desired Qualifications: 
· Bachelor’s degree in CS or related technical field 
· 5+ years’ experience with Data warehousing architecture and data modeling best practices
· 3+ years of Machine Learning techniques
· Expert understanding of ETL techniques and best practices to handle extremely large volume of data
· Experience with Oracle Applications Express (APEX) 
· Experience leading projects and people
 

About Amazon

  • Ecommerce

  • Seattle, WA, USA

  • 10,000+

  • 1994

.

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