Logistics Management & Data Specialist

Description
Logistics & Data Operations Specialist – E-commerce, Inventory & AI
Full-Time | Remote | U.S. Business Hours
About The Role
At Pavago, one of our clients is hiring a highly analytical Logistics & Data Operations Specialist to manage logistics, inventory planning, reporting, and operational systems for a fast-growing e-commerce business.
This role combines hands-on logistics execution with data analysis and AI-powered process improvement. You’ll manage freight and purchase orders, maintain accurate inventory data, build operational reports, and use tools like Shopify, Claude, and ChatGPT to create smarter, more scalable workflows.
What You’ll Do
Logistics & Inventory Operations
Manage freight, shipment tracking, delivery coordination, and warehouse communication
Create and manage purchase orders based on sell-through, inventory forecasts, and revenue projections
Monitor inventory levels and proactively identify stock risks
Maintain accurate product and variant data in Shopify
Coordinate with warehouse teams to support accurate and efficient fulfillment
Data Analysis & Reporting
Build advanced spreadsheets, trackers, dashboards, and operational reports
Analyze inventory, returns, customer service, and product-quality data
Turn large datasets into actionable operational insights
Improve visibility into logistics, inventory, and business performance
Identify trends, inefficiencies, and opportunities through data
AI, Automation & Systems
Use Claude, ChatGPT, and other AI tools to improve operational workflows
Build centralized reporting and data-management systems
Help connect data across Shopify, Meta Ads, Google Ads, Klaviyo, and internal systems
Automate repetitive workflows and reduce manual work
Test new AI tools and systems that can improve operational efficiency
Process Improvement
Build scalable operational workflows and documentation
Improve reporting accuracy and data consistency
Identify logistics and operational bottlenecks before they become problems
Collaborate with warehouse, customer support, operations, and leadership teams
What We’re Looking For
Proven experience in logistics, supply chain, e-commerce operations, or inventory management
Hands-on experience with Shopify
Experience managing:
Freight and shipments
Purchase orders
Inventory
Warehouse coordination
Advanced Excel / Google Sheets skills
Strong quantitative and data-analysis capabilities
Experience working with large operational datasets
Practical experience using Claude, ChatGPT, or similar AI tools
Strong systems and process-improvement mindset
Excellent written and verbal English
Ability to work independently during U.S. business hours
Nice to Have
Experience connecting Shopify, Meta Ads, Google Ads, and Klaviyo data
APIs, automation, or AI integration experience
Dashboard and centralized reporting experience
E-commerce or consumer products background
Inventory forecasting and margin analysis experience
What Success Looks Like
Accurate inventory and operational data
On-time shipment and purchase order coordination
Fewer logistics errors and operational bottlenecks
Reliable, decision-ready dashboards and reports
Improved inventory forecasting and visibility
Successful AI and automation initiatives that reduce manual work
Interview Process
Application Review
Spark Hire Intro Video
Recruiter Interview
Final Client Interview
Offer & Onboarding
What Happens After You Apply
Qualified candidates will receive a Spark Hire invitation to complete a short Intro Video. This helps us learn more about your logistics, e-commerce, data, and systems experience before moving to the interview stage.
Please check your inbox and spam/junk folder for the invitation.
Apply Now
If you combine logistics and inventory experience with strong analytical skills and enjoy using data, systems, and AI to make operations more efficient, we’d love to hear from you.
#Logistics #EcommerceOperations #SupplyChain #InventoryManagement #Shopify #DataAnalytics #Operations #ArtificialIntelligence #ChatGPT #ClaudeAI #RemoteJobs #Pavago

Work arrangement
Yes