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  • The site is refreshed daily to remove out-of-date content.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.

Job Information

Amazon Business Analytics Manager in Shanghai, China

Description

Amazon Global Selling is a key initiative to achieve our vision to offer customers Earth’s largest selection. We provide businesses the opportunity to sell their goods on the Amazon platform worldwide. Each year, tens of thousands of businesses join our Marketplace in 10 countries, adding millions of new products.

Amazon's Asia Global Selling Existing Seller Management (ESM) team currently seeks a passionate business analyst to turn data into actionable insights, and support answer strategic business questions.

In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with complex datasets and be someone who loves to turn data into insights to answer strategic business questions. You should have deep expertise in analytic view of business questions, building up & refining metrics framework to measure business operation and translating data into meaningful insights. In this role, you will have ownership of end-to-end analytics development to complex questions and you’ll play an integral role in strategic decision making.

You should have excellent business and communication skills to be able to work with business owners to understand business challenges & opportunities, and to drive data-driven decision into process & tool improvement together with business team. Above all, you should be passionate about how insights can be used to improve both the Customer and Seller experience of selling across borders.

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

Shanghai, 31, CHN

Basic Qualifications

  • 8+ years of professional experience in data analytics, business analysis, marketing insight or consulting position.

  • Advanced working knowledge of data retrieving and processing using SQL, ETL, data warehouse as well as Excel.

  • Demonstrated experience in preparing and executing presentations of technical and business level data.

  • Proven problem solving skills, attention to detail, and exceptional organizational skills.

  • Ability to deal with ambiguity and competing objectives in a fast paced environment.

  • Strong operational business understanding, including potential impact of business decisions on various internal/external stakeholders.

Preferred Qualifications

  • Master’s degree is preferred (Business, Engineering, Statistics, Computer Science, Mathematics or related field)

  • 10+ years of relevant experience in a business analyst/data analyst/statistical analysis role

  • Ability to deal with ambiguity

  • Understanding of data warehousing and data modeling

  • Experience using test/control methodology, and using machine learning techniques (skilled in using one or more of SPSS/SAS/R/Python and etc.)

  • Proficient with one or more major BI tools

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