
Manager, Business Intelligence Engineering
- Bellevue, WA
- Permanent
- Full-time
- Stakeholder Collaboration: Collaborate with senior procurement leadership, category managers, and cross-functional partners to understand evolving business needs and translate them into impactful BI solutions.
- Team Leadership: Lead a high-performing analytics team responsible for spend visibility, supplier performance, and KPI dashboard across Chewy's enterprise procurement organization.
- Strategic Data Planning: Define, maintain, and evolve the organization's key performance metrics. Align BI strategy with procurement goals to support data-driven decision-making.
- BI Tools & Automation: Lead the development of automated dashboards, self-service BI tools, and scalable reporting infrastructure. Streamline reporting processes and reduce manual workloads.
- Data Governance: Ensure data accuracy, consistency, and integrity across all procurement-related reporting and analytics.
- Analytics & Insights: Conduct deep-dive analyses into large, complex datasets to uncover trends, identify root causes, and generate actionable insights to improve procurement efficiency and supplier performance.
- Business Reporting: Own and deliver reporting for Monthly Business Reviews (MBRs), Quarterly Business Reviews (QBRs), and Weekly Business Reviews (WBRs).
- Process Optimization: Identify opportunities to improve procurement reporting and analysis workflows, championing automation and standardization.
- Data-Driven Decision Making: Leverage data and statistical analysis to drive recommendations that improve customer experience and operational efficiency.
- Exemplary stakeholder management and prioritization skills using systems, processes, and scalable frameworks.
- 5+ years of experience in business intelligence or data analytics.
- 5+ years of experience managing and developing analytics or BI teams, with a proven track record of delivering results and building high-performing teams.
- Proficiency in SQL with a strong ability to write, debug, and optimize complex queries.
- Experience with cloud data platforms such as Snowflake or Redshift.
- Demonstrated success building and maintaining self-service BI tools and dashboards.
- Expertise in data visualization using tools such as Tableau, Quicksight, or similar platforms.
- Familiarity with programming/statistical languages like Python, R, Weka, SAS, or Matlab.
- Strong communication and presentation skills, capable of translating technical findings into executive-level insights.
- Proven stakeholder management, prioritization, and project management skills.
- Meticulous attention to detail and commitment to data integrity
- Master's degree in Analytics, Business, or related field (e.g., MBA).
- Experience in the supply chain or procurement industry.
- Understanding of sourcing processes, supplier lifecycle management, and category strategy.
- Familiarity with DBT for data governance and transformation.
- Comfort working in a pet-friendly environment.