Pavago is seeking a highly analytical Logistics & Data Operations Specialist to support a fast-growing e-commerce client. This full-time, remote role operates during U.S. business hours and blends hands-on logistics management with data analysis and AI-driven process improvements. The ideal candidate will oversee freight and purchase orders, maintain precise inventory records, generate operational reports, and leverage tools such as Shopify, Claude, and ChatGPT to enhance workflows and scalability.

Key Responsibilities

Logistics & Inventory Operations: Manage freight shipments, track deliveries, and coordinate with warehouse teams to ensure smooth fulfillment. Create and maintain purchase orders based on sell-through rates, inventory forecasts, and revenue projections. Monitor inventory levels proactively to identify potential stock risks and maintain accurate product and variant data within Shopify.

Data Analysis & Reporting: Develop advanced spreadsheets, trackers, dashboards, and reports to analyze inventory, returns, customer service, and product quality data. Transform large datasets into actionable insights that improve visibility into logistics, inventory, and overall business performance. Identify trends, inefficiencies, and opportunities through detailed data analysis.

AI, Automation & Systems: Utilize AI tools such as Claude and ChatGPT to optimize operational workflows. Build centralized reporting and data management systems that integrate data from Shopify, Meta Ads, Google Ads, Klaviyo, and internal platforms. Automate repetitive tasks to reduce manual workload and test new AI technologies to enhance operational efficiency.

Process Improvement: Design scalable workflows and maintain thorough documentation to improve reporting accuracy and data consistency. Identify and address logistics and operational bottlenecks before they impact business. Collaborate closely with warehouse, customer support, operations, and leadership teams to drive continuous improvements.

Required Qualifications

Proven experience in logistics, supply chain, e-commerce operations, or inventory management is essential. Candidates must have hands-on experience with Shopify and managing freight, shipments, purchase orders, inventory, and warehouse coordination. Advanced skills in Excel or Google Sheets and strong quantitative and data analysis capabilities are required. Experience working with large operational datasets and practical knowledge of AI tools like Claude or ChatGPT is important. A strong systems and process improvement mindset, excellent written and verbal English communication skills, and the ability to work independently during U.S. business hours are also necessary.

Preferred Qualifications and Benefits

Experience connecting data across Shopify, Meta Ads, Google Ads, and Klaviyo platforms is a plus. Familiarity with APIs, automation, or AI integration, as well as dashboard and centralized reporting experience, will be advantageous. Candidates with a background in e-commerce or consumer products, along with inventory forecasting and margin analysis skills, will stand out.

Success in this role is demonstrated by maintaining accurate inventory and operational data, ensuring on-time shipment and purchase order coordination, reducing logistics errors and bottlenecks, delivering reliable and decision-ready dashboards and reports, improving inventory forecasting and visibility, and successfully implementing AI and automation initiatives that reduce manual effort.

The interview process includes an application review, a Spark Hire introductory video, a recruiter interview, a final client interview, and then an offer and onboarding phase. Qualified candidates will receive an invitation to complete a brief introductory video to showcase their logistics, e-commerce, data, and systems experience before advancing to interviews.

If you have a strong combination of logistics and inventory expertise with analytical skills and enjoy leveraging data, systems, and AI to improve operational efficiency, this opportunity offers a dynamic and impactful role within a growing e-commerce environment.

Job Details

Total Positions:
1 Post
Job Shift:
Work From Home
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Career Level:
Mid-Level
Maximum Experience:
5 Years
Apply Before:
Oct 18, 2026
Posting Date:
Oct 12, 2026

Pavago

· 11-50 employees -

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