• Are there more dimples on a golf ball or stitches on a baseball? 
  • What’s the right trade-off between promising delivery one day faster vs hitting the slower delivery promise more reliably? 
  • How do we make sure that we can fulfill customer demand delivering a great experience when it surges over five-fold during one week over the other?

If these questions pique your interest, you might be exactly the person we are looking for! The Supplier Partner Management group at Wayfair in Berlin is looking for an analyst to join our Strategy & Performance Management team. As a team, we work on enhancing the performance of our supplier partners to deliver a great experience for our customers through our supply chain. We use data insights to identify opportunity areas, set up cross-functional projects to test our hypotheses, and scale the solutions that work. 

What You’ll Do

  • Identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth
  • Comprehend, extract, and massage information from complex data sources including sales, operations, logistics, product, and customer databases to deliver business insights and recommendations
  • Become the subject matter expert for data, analytics, and testing within the Supply Chain organization to ensure accurate and proper interpretation of core business metrics and consumer behavior
  • Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems including supplier segmentation and supply chain optimization
  • Collaborate with other Supply Chain areas (e.g., Supplier Operations, Warehousing, Logistics) to create and evaluate project ideas and drive their implementation to validate your analytics insight and scale working solutions across our supply chain to achieve meaningful impact

 

What You’ll Need

  • Numeracy & strong analytical ability 
  • Proficient knowledge of SQL (incl. aggregate functions, joins, etc.). Other structured programming languages (Python, R) a plus
  • Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc. ) and Tableau
  • Solution-oriented & curious mindset
  • Strong written and verbal communication
  • Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis a plus
  • Bachelors or Masters in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, Management, Social Sciences or other quantitative discipline field with strong academic record
  • e-commerce or supply chain analytics experience a strong plus

 

About Us

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

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