Business Intelligence Team Lead for E-commerce Platforms
3 days ago
Wayfair is a leading e-commerce company focused on home goods. The company's platform generates vast amounts of data from millions of customers visiting its websites daily.
About the RoleWe are seeking an experienced Business Intelligence Team Lead to join our Advanced Analytics & Insights team. This role will play a critical part in driving business decisions and optimizing customer behavior across our e-commerce platforms.
Key Responsibilities- Lead a high-performing team of analysts responsible for integrating analytics into our product and engineering teams.
- Hire, nurture, and manage a team of analysts supporting 15+ atomic teams across the platform and customer experience lifecycles.
- Develop and execute a strategic analytics agenda and delivery roadmap to unlock insights and guide the business and technology roadmap.
- Prioritize resources, hiring, and team topologies to balance short-term needs with longer-term initiatives.
- Build capability to apply new analytical methodologies and techniques to the e-commerce space, including reporting on key platform KPIs, measuring new capability adoption and user behaviors, driving quantitative investigations, and modeling team impact.
- Lead the development and expansion of best practices in structuring analyses, data model architecture, dashboard design, and data visualizations to communicate meaningful metrics within the e-commerce space.
- Partner and influence senior leadership across the company to contribute to the strategic agenda of the e-commerce platform.
- Advanced degree in Computer Science, Statistics, Engineering, or other quantitative disciplines.
- Total of 10+ years of experience and track record (2+ years) of managing platform, product, or business analytics teams.
- Experience in leveraging A/B testing and other experimentation methodologies for effective product launch measurement.
- Experience in architecting and delivering impactful data models for effective platform enablement and customer experience optimization.
- High comfort level with programming skills in Python and SQL, and experience working with Big Data technology such as BigQuery and visualization tools including Looker; ideally familiarity with cloud-based platforms (preferably GCP).
- Ability to condense technical subject matter for non-technical audiences and succinct communication in a dynamic environment with shifting priorities.
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