Job Information
Amazon BI Engineer - Robotics Continuous Improvement, MSP-CX in Luxembourg, Luxembourg
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:
Luxembourg, LUX
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
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