Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

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  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
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  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.
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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

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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