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Business Intelligence Engineer Lead

Amazon

Luxembourg

Responsibilities

You know and love working with business intelligence tools, can model multidimensional datasets, and can partner with customers to answer key business questions.

You will also have the opportunity to display your skills in the following areas:

  • Design, implement, and support a platform providing ad-hoc access to large datasets
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
  • Model data and metadata for ad-hoc and pre-built reporting
  • Interface with business customers, gathering requirements and delivering complete reporting solutions
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Participate in strategic & tactical planning discussions

BASIC QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Mathematics, Statistics, Finance, related technical field, or equivalent work experience
  • 3-5 years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field, and 7-10 years professional experience (experience in consumer-facing industry preferred)
  • Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports
  • Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
  • Proven track record of successful communication of analytical outcomes through written communication, including an ability to effectively communicate with both business and technical teams

PREFERRED QUALIFICATIONS

  • Graduate degree in computer science, business, mathematics, statistics, economics, or other quantitative field
  • Both technically deep and business savvy enough to interface with all levels and disciplines within the organization
  • Demonstrated ability to coordinate projects across functional teams, including engineering, IT, product management, marketing, finance, and operations
  • Knowledge of Advanced SQL and a programming language
  • Experience with data visualization using Tableau or similar tools
  • Experience with AWS technologies such as Redshift

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