Commercial Analyst - Early Careers (Summer 2025 Start)

Summer 2025 Start

Location: Boston, Massachusetts

Additional Details:

• This is a Boston based opportunity with a 4 day in office expectation (Monday - Thursday) with 1 day remote (Friday).
• At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN.
• The salary range for this position is $80,000 - $84,000 per year. The base salary offered may vary depending on location, job-related knowledge, skills, and experience.

Who We Are: 

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.

Wayfair’s Commercial organization delivers on Wayfair’s promise to help everyone anywhere create their feeling of home through building an unparalleled selection, driving tangible value, and ensuring a seamless customer experience. This team builds strong relationships with suppliers to provide true partnership in helping customers create a space that reflects who they are and what they need. They attract, grow, and retain Wayfair’s customer base through innovative marketing strategies. This team curates and refines product collections to enhance and optimize the shopping journey. The Commercial team also offers outstanding support to meet customers where they are through home services, financing options, and direct sales interactions.

 

What You’ll Do:
As a Commercial Analyst at Wayfair, you will collaborate with cross-functional teams to shape strategies that deliver value to our customers and strengthen supplier partnerships. Your responsibilities will involve diving into data, identifying key trends, and using your insights to support decision-making across various areas of the business. Specific duties include:

• Data Analysis & Reporting: Work with large datasets to identify trends, perform analyses, and develop reports to drive business decisions across different Commercial functions.
• Strategic Execution: Contribute to the development and execution of key initiatives across marketing, pricing, product curation, and competitive analysis that align with Wayfair’s growth strategies.
• Supplier Partnership Optimization: Partner with suppliers to optimize product offerings, refine selection, and enhance the shopping experience by using data to guide decisions.
• Customer Experience Enhancement: Use insights from customer behavior and feedback to continuously refine and enhance the shopping experience across Wayfair platforms.
• Problem-Solving: Tackle ambiguous challenges by leveraging your analytical skills to generate actionable solutions that deliver measurable improvements in profitability, customer satisfaction, and operational efficiency.
• Technology Utilization: Use advanced analytical tools and techniques (Excel, SQL, R, Python) to build data-driven insights and recommend improvements to business processes and outcomes.

 

What You’ll Need: 

Basic Qualifications: 

• 1-3 years of transferable experience in a corporate environment, including internship and co-op experience.
• Experience with Microsoft Excel or Google Sheets, SQL or GBQ, and data visualization tools such as Google Data Studio (Looker, Tableau, or PowerBI)
• Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. Visa sponsorship includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN.

Preferred Qualifications: 

• Bachelor's degree in a quantitative field
• Familiarity with any programming language (R, Python) is a plus, including motivation to learn and develop the skill-set
• Strong consultative skills: ability to work effectively and persuasively with a highly cross- functional group of business partners 
• Strong business acumen: ability to understand how various parts of the business interact; can identify and approach problems from a customer or supplier perspective 
• Exceptional analytical and quantitative skills: excited about working with and synthesizing big data into actionable insights; comfortable using data software to conduct analyses and synthesize findings 
• Exceptional problem-solving and execution skills: ability to make decisions, reprioritize tasks, and draw conclusions in the face of ambiguity 
• Excellent written and verbal communication skills 
• Proficient with Microsoft Excel
• Familiarity with any program