Data Analysis Manager

Job Responsibilities

Job Responsibilities

• Build Web-Based Planning Tools: Design, deploy, and maintain an internal, real-time labor planning platform using low-code/no-code environments (e.g., Retool, Bubble).
• Leverage AI Coding Assistants: Utilize advanced AI tools (e.g., Cursor, GitHub Copilot) to rapidly generate, debug, and optimize backend tool logic without a dedicated software engineering team.
• Build End-to-End Data Pipelines: Query internal WMS relational databases via SQL or screen captures and connect to the time and attendance systems to develop a real-time view of projected capacities.
• Ensure Data Integrity: Implement rigorous data collection, validation, and automated quality checks to guarantee data accuracy and system reliability across all tools.
• Manage Analytics Initiatives: Prioritize and deliver multiple technical tool builds and analytics projects simultaneously in a fast-paced fulfillment environment.
• Identify Cost Drivers: Mine historical and real-time operational data to uncover savings opportunities and recommend strategic optimizations to senior leadership.
• Core KPI Leadership Dashboards: Lead the design and maintenance of metrics, dashboards, and automated reports highlighting cost, Cost Per Unit (CPU), and efficiency KPIs for weekly and monthly business reviews.
• Support Root-Cause Analysis: Analyze performance trends to diagnose operational issues and mathematically measure the impact of process changes and cost-saving initiatives.
• Provide Strategic BI Support: Deliver high-impact analytics to US Fulfillment and Operations leadership, focusing on warehouse performance, labor efficiency, and supply chain execution.
• Design Core Leadership Dashboards: Lead the design and maintenance of automated reports highlighting cost, Cost Per Unit (CPU), and efficiency KPIs for business reviews.

Cross-Functional Collaboration & Adoption: Partner with Fulfillment, Finance, Logistics, and floor leadership to transition teams from static spreadsheets to live, automated web tools.

Job Requirements

Job Requirements

• Bachelor''s degree or above in Software Engineering, Data Analytics, Business Analytics, Statistics, Supply Chain, Operations Management, Computer Science, or a related field.
• 6+ years of experience in data analysis, business intelligence, or analytics roles, preferably within top e-commerce, fulfillment, logistics, or supply chain organizations.
• Experience with AI coding environments (e.g., Cursor, GitHub Copilot, Replit Agent) and low-code application development (e.g., Retool, Bubble, FlutterFlow)
• Proven track record of independently building, hosting, and deploying scrappy, functional web applications or internal tools to solve operational problems.
• Strong understanding of fulfillment center operations, warehouse processes, labor planning, capacity planning, productivity tracking, and supply chain performance metrics.
• Proven ability to design and maintain metrics, dashboards, and reporting frameworks for cost, CPU, productivity, SLA, and operational efficiency KPIs.
• Experience working in a fast-paced environment similar to a high-tech start-up; Works well under pressure with the ability to prioritize competing deliverables;
• Experience collaborating with cross-functional teams, including Fulfillment Operations, Finance, Product, Engineering, Logistics, and senior leadership.
• Ability to explore and leverage emerging AI tools to improve analytics efficiency, automate repetitive workflows, and enhance insight generation.
• Excellent oral and written communication skills.