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.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • 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.
  • The site is refreshed daily to remove out-of-date content.
  • 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.
Home View All Jobs (2,283,020)

Job Information

Amazon Business Intelligence Engineer (BIE), Supply Chain Placement Analytics in Munich, Germany

Description

Have you ever ordered a product on Amazon and wondered how it got delivered to you so fast? In the Amazon EU Supply Chain team, we are passionate to drive innovation on behalf of our customers to improve product availability and speed while reducing costs and carbon emissions. This role will give you a unique view into Amazon systems, processes and operations, allowing you to collaborate with planning, operations and technical teams. If you are an advocate to understand complexity in detail to drive improvements at scale, with a proven track record of analyzing and diving deep in complex data to generate insights and business recommendations, we’d like to talk to you.

This position is ideally based out of our EU Headquarters in Luxembourg, however we will also consider Munich (Germany) as an option.

Key job responsibilities

  • Design and own the right set of metrics to evaluate, dive deep and improve efficiency of placement systems.

  • Develop relevant analytical tools/processes to reduce time to insights/automate.

  • Recommend and drive improvements to the placement strategy using modelling and large datasets. You'll guide partner teams with regards to the mix of products to place in Amazon buildings, maximizing selection and reducing distance to customers.

  • Partner with technology teams to define key priorities to accommodate growing business needs and implement your recommendation in production through smart configurations in placement systems.

  • Research, develop, document and present new opportunities to all levels of Supply Chain, Finance, FBA and Retail leadership.

A day in the life

  • Partner with Program Managers, Business Intelligence Engineers and Finance Analysts to develop the right metrics and analytical tools to work backwards from a business goal.

  • Partner with Business and Tech teams to prioritize impactful insights.

  • Explore systems while performing anecdotes to understand concrete root causes.

  • Scale findings from anecdotes to understand its impact and respective prioritization.

  • Perform analysis at scale with new metric cuts and/or statistical models.

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

Munich, DEU

Basic Qualifications

  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

  • Experience in the data/BI space

  • Experience with SQL

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

  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Preferred Qualifications

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

  • Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field

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.

m/w/d

DirectEmployers