Senior Associate, Asia Operations (Data Management and Application)

Wayfair is redefining the way goods are moved around the globe and one of the key pillars of that strategy is to create a truly differentiated and vertically integrated supply chain. To enable this differentiated experience, Wayfair is investing heavily to create a supply chain network (CastleGate Forwarding) throughout China and Southeast Asia.  This is an exciting, fast-paced, and high-visibility initiative and we are looking for leaders who can help disrupt the status quo and redefine an industry.

The CastleGate Forwarding team in Asia is looking for a data analyst, with strong attention-to-detail, a strategic mindset, and effective communication skills. This candidate must be able to thrive in an extremely fast-paced environment with Wayfair growing at an unprecedented 50%+ year over year.

You will be a part of the origin service team to bridge the gap between China factories / shippers and Wayfair global eco-system. Narrowing down to the data analyst role, you will create unique value propositions to Wayfair internal stakeholders. You will map out the data along the way from shippers / factories to either consolidation warehouse or origin ports. You will consolidate the data from internal / external sources, come up with number based analysis to tell how origin logistics performance looks like, both from commercial and operation perspective. You will also be acting as a touch point on  behalf of origin service team data management, linking up with CastleGate Forwarding network, enabling the data from origin logistics to connect well with CGF other systems ( ex. NaviOS), maximizing the data value.

In short, the data master owns the strategy for data management. Maximizing the data value to profile as-is origin service performance, facilitate the origin service development team to sense the shippers / factories pain points from number based facts, meanwhile work with sister functions within CGF to plan future service development to alleviate shippers / factories pain points

Roles and responsibilities :

• Own and develop the strategy for data management, focusing on origin service
• Map out data categories that would be required for business development
• Build up process to collect and consolidate data from internal / external sources
• Clean up database in a timely manner, maintain data quality
• Build up reports / dashboard for WBR / MBR / QBR
• Guide / train the service partners or subcontractors on how to interchange data under CGF criteria
• Work with sister functions, push through data interchange within CGF, maximize data value
• Support tech roadmap building and tool development (incl. defining product requirement, logic build, user acceptance test) to drive improvements in the end-to-end logistics systems, data, and processes; including light modeling to validate hypotheses and de-risk engineering and data science investments

Qualifications :

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 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, genetic information, or any other legally protected characteristic.

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