Business Intelligence Engineer, AMXL (Amazon Extra Large)

Job Description

Job ID: 2312367 | Amazon EU SARL

minimum 1+ years of relevant work experience

Amazon Extra Large (AMXL) is looking for a customer focused, analytically and technically skilled Business Intelligence Engineer to drive effective performance measurement and management, innovation and execution in last mile delivery. This position will be responsible for building out analysis and visualization tools and processes’ to support our growing Amazon Logistics business in Europe.


The successful candidate will be able to effectively retrieve, integrate, visualize and present critical data to improve the efficiency of the package delivery network, and enable efficient management of a large global logistics system. 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 enjoy working with large scale of data.

Core Job Responsibilities include:

• Partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions
• Partner with Data Engineering and Software Development Engineers to prioritize and define AMXL data and BI development needs
• Work with in-house scientists, global supply chain, transportation and logistics teams to identify new BI capabilities and projects
• Conduct deep dive investigations into operations execution and business problems, identify opportunities, and lead or support implementation (role varies by opportunity)
• Analyze and visualize large scale geo-spatial logistics and transaction data to determine user behavior or delivery process problems, and output solid analysis report with recommendation
• Serve as liaison between operations business teams to achieve the goal of providing actionable insights into 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.

BASIC QUALIFICATIONS

• Degree in Engineering, Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or related field.
• 1+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational planning or advanced degree.
• Advanced knowledge of SQL, Python and ETL jobs.
• Advanced understanding and experience working with data warehousing, data quality & data schemas
• Recent experience applying visualization tools such as interactive GIS visualization and processing systems, Tableau, Qlik View to data elements.
• Recent experience implementing basic software solutions to automate data source, visualization and/or data modeling application.
• Customer focus and professional demeanor.
• Organizational skill and an operations mindset.
• An ability and interest in working in a fast-paced and rapidly-changing environment.
• Ability to understand operations at a detailed, practical level and to think big / strategically
• A work ethic based on a strong desire to exceed expectations.
• Interpersonal skills, including written and oral communication skills.

PREFERRED QUALIFICATIONS

• Recent experience applying visualization tools such as interactive GIS visualization and processing systems, Tableau, Qlik View to data elements.
• An ability and interest in working in a fast-paced and rapidly-changing environment.
• Ability to understand operations at a detailed, practical level and to think big / strategically
• A work ethic based on a strong desire to exceed expectations.
• Interpersonal skills, including written and oral communication skills.
• Project Management experience and/or Tech product management experience
• Proven track record of delivering projects within scope, time, budget and quality
• Demonstrated excellence in working with operations teams