Data Analyst - Supply Chain

Wish, San Francisco, California

Mobile commerce platform

Data driven decision-making is an integral part of life at Wish.  It drives our success with customers and merchants.  We’re looking for talented Data Analyst to continue to drive decisions company-wide through the use of statistical modeling and machine learning, who are passionate about using data to help drive informed product and business decisions for the company.

You will enjoy working with one of the richest social e-commerce data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. You should have an extensive background in a quantitative field, a strong research background, and experience working with large data sets. You should be results-driven, highly motivated, and have a track record of using data analytics to drive the understanding, growth, and the success of a product.

What you'll do:

  • Apply your expertise in quantitative analysis, data mining, machine learning, and the presentation of data to see beyond the numbers and understand how our users interact with our products.
  • Partner with Engineering and Operations teams to solve problems and identify trends and opportunities, and support internal planning in supply chain.
  • Work alongside the Product Managers on the Product team to analyze the results of A/B experiments.
  • Make recommendations on new experiments to run based on the data, and work alongside the engineering team to make sure features are engineered with data tracking in mind.
  • Inform, influence, support, and execute our product decisions, product launches, and business strategies.

Who you are:

  • 3+ years experience doing quantitative analysis, preferably for a web or mobile company
  • BA/BS in Computer Science, Math, Physics, Engineering, Statistics or other technical field or equivalent experience
  • Hands-on experience in Supply Chain, Operations, Engineering, or a related field with Supply Planning, Inventory Optimization and/or Network Optimization
  • Experienced in market research, pricing, contracting, market mix, commercial effectiveness
  • Demonstrated familiarity with large datasets, and understanding of data analysis workflows
  • Experience in SQL or other query languages. Development experience in at least one scripting language (PHP, Python, Perl, etc.)
  • Experience manipulating data sets through statistical software (ex. R, SAS) or other methods
  • Knowledge with statistics, simulation, optimization, visualization tools, and ability to apply mathematical modeling methods.
Company Description

Wish is transforming the way the world shops by offering a convenient and personalized mobile shopping experience. Our mission is to offer an unlimited selection of affordable quality goods to be accessible for everyone on a global scale. Wish selectively brings together world-class talent with a passion for connecting relevant products to the global population.

Learn more about us:

For internal use only: #LI-WISHJWALL

Wish values diversity and is committed to creating an inclusive work environment. We provide equal employment opportunity for all applicants and employees. We do not discriminate based on any legally-protected class or characteristic. Employment decisions are made based on qualifications, merit, and business needs. If you need assistance or accommodation due to a disability, please let your recruiter know. For job positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records.

About Wish

Wish is the leading mobile commerce platform in North America and Europe. Our mission is to give everyone access to the most affordable, convenient, and effective shopping mall in the world. By leveraging a competitive global supply chain of direct suppliers and avoiding retail costs we are offering anyone with a smartphone access to tens of millions of affordable goods. By making Wish available on smartphones we are putting this digital shopping mall directly in the pockets of tens of millions of consumers.

Want to learn more about Wish? Visit Wish's website.