Wayfair-posted 8 months ago
Full-time • Entry Level
Boston, MA
Furniture, Home Furnishings, Electronics, and Appliance Retailers

This is a Boston, MA based opportunity with a 4 day in office expectation. Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with experienced graduates who have 1-3 years of experience. You will join the Operations Analytics team focused on steering Wayfair's long term strategic operations. The OA team supports long-term, high scope, high complexity planning and business case questions within operations. We work closely across Operations Research, Network Management, Transportation & Delivery and other teams to ensure continuity between their near and medium term planning objective functions with our future state strategic goals.

  • Work within a small but high impact team focused on providing analytical firepower to a number of groups under the operations umbrella, with a focus on Fulfillment, Planning, and Analytics.
  • Support decisions of if, when, and where to open new Fulfillment Centers and Home Delivery Operation nodes in our network in a way that maximizes value through optimizing inbound and outbound speed and cost across a multitude of FC functions.
  • Advise on decisions to expand on our deluxe delivery operations, reviewing the near term cost/benefit tradeoffs and long term customer lifetime value impacts.
  • Support development of a strategic put away logic for a pilot of automated inbound sortation robots analytical needs.
  • Design and maintain models that drive strategic insight, packaging findings into concise and actionable recommendations.
  • Utilize experience in SQL, python, and spreadsheet modelling to build tailored and robust sensitivity analyses that identify and address business value opportunities.
  • Develop tools and dashboards that provide critical insights, enabling data-driven decision-making.
  • Work in a fast paced, highly iterative environment that is responsive to the evolving needs of our operations functions and strategies.
  • Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Operations Research, or a related discipline with a strong academic record.
  • Experience in an analytics or data science role, performing quantitative analysis and delivering actionable recommendations from findings.
  • Advanced proficiency in SQL, including knowledge of aggregate functions, joins, etc.
  • Hands-on experience and comfortability with Python for data manipulation, analysis, and modeling.
  • Authorization to work in the United States without visa sponsorship by Wayfair now or in the future.
  • Ability to synthesize insights from undefined and open ended problem sets and articulate into clear, top down evidence backed narratives.
  • Strong written and verbal communication skills, with experience building comprehensive and compelling slide decks and white papers.
  • Solution-oriented & curious intellectual mindset and curiosity, with a passion for continuous learning and problem-solving.
  • Strategic thinker, able to provide direction and support to the team in setting clear project goals.
  • Experience with or knowledge of supply chain and logistics concepts is a strong plus.
  • Paid Holidays
  • Paid Time Off (PTO)
  • Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
  • Life Insurance
  • Disability Protection (Short Term & Long Term Disability)
  • Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
  • Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
  • Caregiver Services
  • 401K Matching (Employee Matching Program)
  • Tuition Reimbursement
  • Financial Health Education (Knowledge of Financial Education - KOFE)
  • Family Planning Support
  • Parental Leave
  • Global Surrogacy & Adoption Policy
  • Rewards & Recognition
  • Global Employee Anniversary Awards
  • Paid Volunteer Work
  • Employee Discount
  • U.S. Bluebikes Membership
  • Global Pod Outings
  • Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
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