S&OP Analyst, EU AMZL S&OP (m/f). Luxemburgo

S&OP Analyst, EU AMZL S&OP

Job ID: 2578391 / Amazon EU SARL

DESCRIPTION

The EU Amazon Logistics organization is looking for a customer focused, analytically and technically skilled business analyst to join our team. This person will be responsible for bringing efficiencies and reduce costs using data analysis and visualization tools and processes' to support our growing Amazon Logistics business in Europe.

The successful candidate will be able to retrieve, integrate, visualize and present critical data in a format that is immediately useful to improving the efficiency of the package delivery network. This individual will work with technical and business teams to optimize planning, execution, process improvement and track progress against goals. This role requires an individual with excellent analytical abilities as well as outstanding business acumen and comfort with technical teams and systems. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and enjoying working with large scale of data.

Responsibilities:

• Analyze and visualize large scale personnel, logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation.

• Serve as liaison between the EU Planning and Analytics team and the various operations business teams to achieve the goal of providing actionable insights into various metrics including current delivery performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.

• Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.

About the team

This role can be based at:

LUX20

We are open to hiring candidates to work out of one of the following locations:

Luxembourg, LUX

BASIC QUALIFICATIONS

• Graduation in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field.

• Knowledge of SQL.

• Good understanding of working with data warehousing, data quality.

• Recent experience implementing basic software solutions to automate data source, visualization and/or data modeling application.

• Good organizational skill.

• Customer focus and professional demeanor.

PREFERRED QUALIFICATIONS

• Masters in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field.

• Programming experience in Python, Java, C++ or other language

• Relevant work experience in a role requiring application of analytic skills to integrate data into operational planning or advanced degree.

• Interpersonal skills, including written and oral communication skills.

• An ability and interest in working in a fast-paced and rapidly-changing environment.

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