Data Engineer, Global Analytics Tech

Must be ONSITE in Boston, MA (Monday-Thursday)

We are looking for analytical, action-oriented, and collaborative individuals that can translate business problems into data driven solutions and actionable insights to influence operational results. Successful individuals in this role excel at both qualitative and quantitative analysis while also being eager to communicate upward and outward to tell a concise story.

You will join the Global Analytics Tech team focused on driving the design, creation and operation of the business infrastructure and key performance indicators that support our operations and commercial teams. Our business strategy is primarily driven by the synergies of the tech and business world.  

What You’ll Do

• Comprehend, extract and model data from complex data sources including operations, logistics, product, and customer databases into information to deliver business insights and recommendations
• Become the subject matter expert for data, analytics, and testing for specific business domains 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 such as supply chain optimization
• Collaborate with other Operations and commercial areas (e.g., Supplier Operations, Warehousing, Transportation) 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

• 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
• Numeracy & strong analytical ability 
• Experience in an analytics, business intelligence or engineering roles performing quantitative analysis
• Hands-on experience conducting quantitative analyses on large data sets; experience with data modeling tools and visualization tools
• Proficient knowledge of SQL (incl. aggregate functions, joins, etc.). 
• Other structured programming languages (Python, R) a plus
• Hands-on experience with Looker or Looker Studio
• Experience with data engineering tools such as DBT/Dataforms, Airflow, and platforms like GCP is a plus
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously
• Solution-oriented & curious intellectual mindset and curiosity - We provide fast results, we scope projects and we are always learning
• Strong written and verbal communication with a team player, highly collaborative attitude- We communicate effectively without sugar coating, we focus on helping the team on the most value add projects

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, 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, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.