Description

　　Amazon is seeking an experienced Business Intelligence Engineer, to drive a culture of innovation and Continuous Improvement for EU Team of Mechatronics and Sustainable Packaging (MSP). Successful candidates will have strong experience in providing concise analysis of machine and process performance by using statistical and ML based tools to deep dive into the machine metrics.

　　As a member of the MSP Continuous Improvement team, you will leverage strong data extraction skills to drive worldwide reporting deliverables, engineer ad hoc performance analysis, support business planning and implement ideas for process improvement. The individual must have the ability to communicate effectively across multiple technical and non-technical functions. Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards.

　　The candidate will demonstrate the following:

　　Focus on customers and work backwards

　　Be highly analytical and detail oriented

　　Quickly build credibility and trust with internal customers

　　Successful in an ambiguous environment

　　Comfortable with tight deadlines and prioritize workload

　　The role is available in either Spain, Italy, Germany or UK.

　　Key job responsibilities

　　Work in a cross-functional team to deliver on demand projects and requests.

　　Creating and optimising performance dashboards across all MSP product portfolio.

　　Source, analyze, and formulate quantitative data; perform ad hoc analyses

　　Analyzing trends, formulating projections, and evaluating savings initiatives

　　Support the development of continuously-evolving automated forecast models and methodologies, owning the quantitative analysis of the performance

　　Provide fact-based insights into variances and trends

　　Presentation of findings and recommendations to Senior Leaders

　　Identify and advocate for technical options related to machine learning, data mining, and other statistical approaches.

　　Maintain an understanding of the latest trends in data science and machine learning.

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

　　Berlin, BE, DEU

　　Basic Qualifications

　　Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.

　　Experience with data visualization using Tableau, Quicksight, or similar tools

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience in Statistical Analysis packages such as R, SAS and Matlab

　　Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

　　Experience with SQL

　　Experience in the data/BI space

　　Preferred Qualifications

　　Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

　　Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

　　Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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