Amazon Devices EU team is looking for an experienced Business Intelligence Leader based in the Luxembourg Offices. The Head of Business Intelligence uses data and analytics to influence decisions of senior business leadership.
The successful candidate will have experience in leading successful analytics teams in matrix organizations, impacting and disrupting business strategies with data products and insights.
You will lead a team of data engineers, business analysts and data scientists who support Amazon Devices EU product, marketing, online experience, offline sales, international expansion and other teams.
Undergraduate Degree in Computer Science, Analytics, Economics, or other relevant field.
Proven ability to lead high-performing analytics and data teams, deliver actionable insights, and apply strong judgement to prioritization
Extensive experience in building out long-term analytics and data strategy, and implementing in through roadmap implementation.
Ability to deal with conflicting priorities, make decisions in stressful situation and on-going pressure from stakeholders while maintaining a healthy team culture and work-life balance.
Proficient programmer, with advanced querying skills (SQL), experience with very large datasets, and advanced skills with analysis software such as Excel or equivalents.
Understands best practice analysis and programming techniques with R and Python
Draws from a deep group- or department-level business understanding to make decisions. Clearly sees how analysis supports the end user’s ability to achieve business goals.
Can properly prioritize competing projects within domain area.
Strong verbal and written communication skills.
Strong attention to detail and organizational skills.
Strong judgment and instincts. Is right a lot.
Graduate Degree in Computer Science, Analytics, Economics, Business Administration or other relevant field.
Understands Amazon’s technology environment, and the performance and scalability issue associated with certain applications.
Expert user of specialized data manipulation and analysis tools including : SQL, Tableau, Python, R, etc.
Experience in retail / e-commerce