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Technical Analyst

Global Supplier Technology

Confirmed live in the last 24 hours



10,001+ employees

E-commerce platform for furniture and decor

Consumer Goods


Toronto, ON, Canada

IT Project Management
IT & Security
Required Skills
Data Analysis
  • Bachelor’s degree in Computer Science, Computer Engineering or equivalent combination of education and experience
  • 1+ years work experience in quantitative analytics, testing and/or predictive modeling
  • Experience in writing code in structured programming languages (Python, R), writing scripts using GBQ or SQL, creating Pivot Tables and Vlookups in Google Sheets or Excel, and using data visualization tools such as Data Studio, Looker, Tableau or PowerBI
  • Experience in leveraging A/B testing and other experimentation methodologies for effective product launch measurement
  • Experience applying data science techniques such as classification, regression, and clustering; and partnering with business teams on agile model development
  • Demonstrated success in communicating with and influencing senior level stakeholders on strategic direction based on recommendations backed by in-depth analysis
  • Collaborative mindset that thrives as part of a team
  • Data and process-oriented, demonstrated ability to continuously learn new tools
  • High attention to detail and proven ability to manage multiple, competing priorities simultaneously
  • Ability to navigate an environment of continuous improvement working through ambiguity in an evolving organization
  • Own and develop the strategic analytic agenda to unlock insights and guide the business
  • Collaborate with cross functional partners and ensure strong alignment between Wayfair’s business objectives and Data Science driven strategies
  • Bring expertise in A/B testing to identify, design, execute, and analyze tests leveraging bayesian or frequentist methodologies
  • Develop key metrics and reporting to measure how initiatives are improving Wayfair’s performance and enabling the team to easily identify trends, root causes, and develop targeted action plans
  • Leverage modeling skills and apply data science techniques to solve ambiguous problems
  • Build prototypes and dashboards to translate large data sets into driving insights and action

Wayfair is a leading e-commerce platform specializing in home furnishings and decor, offering an expansive selection that caters to diverse tastes and budgets. The company stands out for its strong customer-centric approach, utilizing advanced e-commerce technologies to enhance the shopping experience. Working at Wayfair provides employees with the opportunity to be part of a dynamic team that values innovation in digital commerce and customer engagement, making it an ideal environment for professionals passionate about driving technological advancements in the retail industry.

Company Stage


Total Funding



Boston, Massachusetts



Growth & Insights

6 month growth


1 year growth


2 year growth