BI Engineer - Robotics Continuous Improvement, MSP-CX
Amazon
05.07.2024
Lüksemburg
Tam Zamanlı
İş Yerinde
Deneyim: 2-4 Yıl
İlan Açıklaması
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.
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
Beceriler
Şirket Hakkında
Amazon Hakkında
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1." What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.
