Business Analyst - EU Packaging
Luxembourg, LU
il y a 5j

Are you interested in creating an impact in customers lives by optimizing packages and processes at a scale that few will ever experienced?

We're looking for an experienced, self-driven, analytical, and creative Business Analyst to drive state-of-the-art solutions for EU Packaging Team.

With over a billion unique products at Amazon, any advancement in sustainable packaging and waste reduction happens at a big data scale! If you are excited by the prospect of analyzing and modeling terabytes of data to identify opportunities that will solve real world problems, owning end-to-end business problems and directly impact the profitability of the company, then this role is for you.

This position requires the ability to dive deep, think big and embody a unique mix of thought leadership and technical acumen.

This opportunity requires excellent skills on troubleshooting, problem solving, and the ability to succeed in a fast-paced, technical environment.

The ability to work independently and deal with an ambiguous scenario is a must. Ownership of work is extremely important and candidates should have a proven record of driving projects and strategic initiatives to their completion.

The ideal candidate has outstanding business acumen, a restlessness to answer why? questions, excellent analytical abilities, strong technical background, superior written and verbal communication skills, and the ability to influence and lead cross-functional teams.

The ideal candidate is motivated, agile, s / he also has a passion for helping us to identify opportunities to reduce operational losses and design solutions to reduce waste and make a positive impact on sustainability.

Major Responsibilities

  • Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes
  • Design, development and evaluation of highly innovative models for new packages and processes improvement
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
  • Analyze and solve problems at their root, stepping back to understand the broader context
  • 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
  • Model data and metadata to support ad-hoc and pre-built reporting
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for secondary datasets
  • S / he is a self-starter comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoy working in a fast-paced dynamic environment.

  • Bachelor degree required in Business, Engineering, Finance, Computer Science, Math or related discipline
  • 3+ years of relevant experience in business analyst role, as well as experience in diving deep on data analysis and technical issues to come up with effective solutions
  • Excellent knowledge and Expertise with SQL, Linux, OLAP, and Relational, NoSQL & Multi-dimensional Databases, Big Data, complex datasets
  • Experience with Reporting Tools as QuickSight, Tableau, Power BI
  • Experience in using Python, R, SAS, Matlab, Spark, or other statistical software
  • Strong structured thinking and problem solving ability
  • Passion for sustainability
  • Proven ability at looking at solutions in unconventional ways. Sees opportunities to innovate and can lead the way
  • Top notch communication (verbal and written) and interpersonal skills to convey key insights from complex analysis in summarized business terms and an ability to effectively communicate with technical teams
  • Experience in business environment with focus on product and process optimization
  • Experience with AWS features (S3, Redshift) is a plus
  • Experience handling large datasets
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