Senior Analyst, Curation Analytics

This position is a hybrid in-office role that works out of our Boston office (Monday-Thursday will be working in office and Friday is work from home). This is not a virtual / remote position.

Who We Are:
Wayfair is reinventing the way people shop for their homes. Our Curation, Brands & Stores (CB&S) organization helps customers find great products faster by building a more curated, trusted, and differentiated assortment across Wayfair.com and our growing store footprint.

Curation Analytics partners with Merchants, Sourcing, Planning, and other cross-functional teams to bring rigor and measurement to how Wayfair selects, manages, and scales its most impactful products, including through Wayfair Verified, our Specialty Retail Brands, and stores.

We are looking for a Senior Analyst based in Boston to serve as a core analytical partner to our business teams, developing the reporting, tools, and insights needed to evaluate assortment performance, identify opportunities, and improve commercial outcomes. This role will combine hands-on analytical work with cross-functional problem-solving, translating complex data into actionable recommendations and scalable solutions.

What You’ll Do:

• Develop scalable reporting and analytics tools that enable stakeholders to evaluate business and assortment performance, monitor key metrics, and identify opportunities for improvement

• Build and maintain reliable analytical datasets by integrating information across sales, assortment, pricing, inventory, supplier, and customer data sources

• Drive performance diagnostics to understand the underlying drivers of business outcomes, identify emerging risks and opportunities, and recommend actions to improve productivity and growth

• Support assortment strategy and optimization through analyses of product performance, assortment composition, pricing competitiveness, and opportunities to improve selection and customer outcomes

• Establish consistent performance measurement frameworks by defining KPIs, standardizing reporting methodologies, and ensuring analytical outputs are accurate, actionable, and aligned across teams

• Partner closely with Merchants, Sourcing, and Planning teams, and other business stakeholders to translate evolving needs into analytical solutions and embed insights into recurring business reviews and decision-making processes

• Develop proactive monitoring and automation to reduce manual reporting, surface performance risks, and enable faster, more informed business decisions

• Collaborate with Data Engineering, and other analytics teams to leverage existing data infrastructure, improve data quality, and build scalable solutions without duplicating established capabilities

• Independently structure and execute analytical projects from problem definition through data development, analysis, stakeholder communication, and ongoing improvement
  
  

What You’ll Need:

• Bachelor's degree in Analytics, Statistics, Economics, Engineering, Business, or a related quantitative field

• 3–6+ years of experience in analytics, business intelligence, or a data-driven role

• Strong SQL skills and experience working with large, complex datasets, including combining data from multiple sources

• Advanced Excel or Google Sheets proficiency

• Experience developing dashboards and reporting tools using Looker, Looker Studio, Tableau, Power BI, or similar platforms

• Strong analytical problem-solving skills, with the ability to translate ambiguous business questions into structured analyses and actionable recommendations

• Solid business judgment and an interest in merchandising, assortment planning, commercial strategy, or business performance

• Strong written and verbal communication skills, including the ability to explain complex analytical findings to non-technical stakeholders

• Ability to independently manage multiple priorities and collaborate effectively across business and technical teams

Preferred Qualifications:

• Experience in e-commerce, retail, merchandising analytics, assortment planning, sourcing, or supply chain analytics

• Strong Python proficiency, with experience building automated data pipelines, analytical applications, or reusable data frameworks

• Experience developing scalable data models and reporting infrastructure, including ETL/ELT workflows, cloud data warehouses (e.g. Google BigQuery), and data quality monitoring

• Experience leveraging AI-assisted development tools (e.g. Cursor, Codex) to accelerate coding, automate analytical workflows, and develop custom internal applications

• Familiarity with machine learning, predictive analytics, or AI-powered analytical tools to identify performance trends, detect anomalies, and proactively surface business opportunities

• Experience building self-service analytics tools or lightweight internal applications that enable business users to independently explore data and make decisions