Senior Analyst, Sales Analytics

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Must be onsite in Boston, MA (Monday-Thursday).

At this time, Wayfair does not provide visa sponsorship for employment authorization for this position.

Wayfair is seeking a relentlessly curious, solutions-oriented Senior Business Analyst to join the B2B Sales Analytics team within the Commercial & Operations organization. This team exists to deepen our business understanding of the customer base and use those insights to improve the end-to-end shopping experience. We provide thought leadership, trusted data, and the analytical rigor needed to drive our rapidly evolving Wayfair Professional sales teams.

The B2B Sales Analytics team is responsible for developing targeted analyses to answer emerging operational and strategic questions for the B2B organization, along with maintaining and expanding the trusted base of reporting that serves as the foundation for that work. Our team acts as liaisons to the Global Sales Data Engineering team, ensuring that our internal data infrastructure remains aligned with ongoing business needs.

We are highly cross‑functional and work closely with roles in the sales organization (e.g. sales operations, marketing, Storefront) and technical teams (e.g. product management, data engineering) with the ultimate goal of growing the quality and reach of the Wayfair Professional brand among business customers.

In this role, you will be a key analytics contributor and assist with business insights for a subset of the Wayfair Professional sales organization. This role requires a blend of strong analytical experience, comfort with understanding business needs in a complex environment, and the ability to communicate results in a crisp and clear way to a diverse set of stakeholders. You will be building a foundation as a trusted partner for the teams you interact with daily, while ultimately contributing to the long‑term vision and leadership priorities for Wayfair Professional.

• Collaborate with senior leaders to identify key opportunities and challenges, developing impactful insights that influence day‑to‑day operations and long‑term business strategy.
• Solve difficult, non‑routine analytics problems with a deep customer and business focus, leveraging your analytical acumen to recommend innovative approaches as needed.
• Dive into the logic behind data models and operational processes to understand customer behavior and uncover opportunities for improved decision‑making.
• Develop a deep understanding of Wayfair Professional sales operations, including key performance indicators (KPIs) like sales agent performance and conversion rates, as a foundation for more advanced statistics and data science projects.
• Use tools like Google Big Query, SQL, and Looker to study customer and business data, synthesize insights, and present clear, data‑driven recommendations. Conduct analysis with curated datasets and provide actionable takeaways when presenting business cases to senior leadership.
• Oversee and refine analytical work by junior team members, providing guidance to ensure high‑quality deliverables while fostering their growth.

• Bachelor’s degree or above in a quantitative field.
• Post‑graduate work in a related technical field; prior management consulting experience is a plus.
• Strong analytical background with 3+ years of experience in extracting insights and manipulating large datasets to identify trends and actionable takeaways.
• Advanced experience with spreadsheets (e.g. Google Sheets, Excel), SQL queries (e.g. Big Query, Redshift, Snowflake), and data visualization tools (e.g. Looker, Looker Studio, Tableau, Power
  
  BI).
• Training will be provided for other analytics‑related software, such as Python automation or statistical packages, when needed for projects in the role.
• Curiosity to dive deeper into the systems and customer trends behind data models and AI that influence customer targeting, call routing, customer valuation, and similar analytics areas.
• Ability to coordinate with partners across the Technology and Business teams to acquire, validate, and present…