Business Intelligence Engineer Ii

OUR OPPORTUNITY:

Are you ready to transform the way Chewy manage their outbound supply chain and drive the best customer experience at the lowest cost to the company. The Outbound Science and Tech team with Chewy Operations org is looking for a Business Intelligence Engineer II at our hub in Boston, MA to own the design, development, and maintenance of analytics and insight generation for the outbound supply chain. This includes identifying key metrics, develop insightful dashboards and insights, utilize latest technology to drive automated insight and defect identification.

• Work closely with the Supply Chain teams in areas including order routing, promise, planning, FC operations, forecasting analytics, inventory placement, customer experience to continuously optimizing for improved customer experience and lower the cost for Chewy.
• Analyze large dataset to identify trends, patterns and insights related to campaign performance, customer engagement and ROI to refine targeting strategies and justify investments, Use generative AI tools to drive automation and scale in insight generation.
• Develop and implement robust methodologies to measure the incrementality of marketing campaigns, including A/B testing, experimental design, and causal inference techniques to evaluate impact and optimize resource allocation
• Collaborate with cross-functional teams to define key metrics & KPIs for evaluating the effectiveness of CRM initiatives and marketing campaign
• Design and execute experiments to quantify the incremental impact of various marketing channels, strategies and tactics on customer behavior and business outcomes
• Build and maintain scalable data pipelines, dashboards and reporting tools to monitor and track incrementality measurement in real time
• Work closely with data engineering and BI teams to ensure data integrity, accuracy and accessibility for analysis and reporting purposes
• Provide actionable recommendations and insights to optimize marketing strategies, allocation of resources and campaign targeting efforts based on incrementality analysis
• Communicate findings, results, and recommendations to stakeholders at all levels of the organization through clear and compelling presentations, reports, and visualizations to drive continuous improvement
• Collaborate with internal and external partners to enhance data collection, attribution modelling and experimentation capabilities to advance incrementality measurement capabilities within the organization