[Hiring] Logistics Management & Data Specialist @Pavago

Role Description

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.

• 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

• 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

• 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

• 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

Qualifications

• 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, and 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.