Senior Technical Analyst, Planner/Supplier Analytics

Senior Technical Analyst - Inventory Manager & Supplier Analytics 

Onsite - Boston Massachusetts (hybrid model) / Professional experience in Python and SQL REQUIRED.

The Inventory Manager & Supplier Analytics team is looking for a Technical Analyst to develop rapid analytics and early tool prototypes for internal and external partners in support of strategies which optimize the trade-offs between inventory availability, shipping speed, and supply chain cost.

Who We Are

Planning and Inventory Management (PIM) drives Wayfair’s top and bottom line by partnering with our suppliers to deliver high availability across CastleGate, physical retail, & dropship. We focus on balancing high turns, strong penetration and optimal positioning for CastleGate. PIM is at the forefront of building innovative and scalable solutions that provide a unique, competitive advantage for Wayfair and unlock value for our supplier partners. By leveraging our proprietary technology, fulfillment and delivery networks and supply chain services, we reduce costs, increase speed of delivery and ensure a reliable consumer experience. We are looking for highly motivated individuals to help expand this business and solve complex problems across operations, analytics, and insights to achieve rapid growth.

The Inventory Manager & Supplier Analytics team is the tip of the spear within Planning and Inventory Management. We are the primary interface between supplier-facing teams and technological partners responsible for discovering analytical capabilities and robust tooling needs, build and test prototypes, and ultimately move the prototypes to other technology teams to productionalize. We also create and maintain the PIM suite of dashboards that enable supplier-facing teams to successfully and effectively execute.

What You’ll Do

• Create efficient data structures that can be leveraged across the organization and can be maintained in a dynamic environment.
• Collaborate with partners in commercial, operations and technology; and ensure that there is strong alignment between Wayfair’s business objectives and our Data Science driven strategies.
• Develop key metrics and reporting to measure how strategic initiatives are improving Wayfair’s performance and enabling our team to easily identify trends and root causes and develop targeted action plans.
• Conduct thorough ad-hoc analysis in GBQ with complex data.
• Build prototypes and develop new dashboards (Google Data Studio and Looker) to translate large data sets into driving insights and action
• Continually solicit key stakeholder feedback to iterate and improve how we look at the data
• Communicate regularly with supplier facing teams to understand business trends and new ways to structure performance management reporting
• Develop sustainable, long-term performance management practices to assess and grow the business
• Monitor key performance indicators and assess how we’re making progress against Turns, Availability, CastleGate penetration and positioning
• Partner with Engineers, Product Managers, and Data Scientists within Forecasting and in adjacent teams to continue to evolve the data science product community at Wayfair.

Who you are:

• A highly analytical individual who can give structure to complex and often ambiguous data and modeling problems
• MS in a quantitative field (Engineering, Operations Research, Mathematics, Economics) with a strong academic record
• 3+ years professional work experience in big data analysis tools and data engineering using SQL, GBQ, Hive, etc.
• Experience with distributed version-control using Git and knowledge of visualization tools (Looker, Google Data Studio, Power BI, etc.)
• Strong coding skills in Python to write scalable and production-ready code
• Willingness to do hands-on problem solving - including problem definition, prototype development, and work with Engineering to transfer solution to a scalable production environment.
• Passionate about tackling complex supply-chain business problems from problem definition and business-case development to implementation
• Thrives in a fast paced environment with multiple competing priorities and rapid shifts to support the business
• A natural team player who is willing to help other analysts and business stakeholders with their data and modeling needs
• Strong written, and verbal communication skills including the ability to translate sophisticated analyses into a logical, convincing business narrative
• Affinity for working with data and resourcefulness in situations where clean data and/or complete information is not available

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