[Hiring] Traceability Data Analyst @Inspectorio

Role Description

We are looking for a curious and detail-oriented junior Traceability Data Analyst to join our Customer Success team. This is a hands-on, ground-level role at the intersection of data operations, supplier engagement, and AI validation — ideal for someone early in their career who wants to build deep expertise in supply chain traceability within the consumer goods industry.

You will play a critical role in unblocking traceability implementations by:

• Chasing down data gaps
• Engaging directly with suppliers
• Ensuring data accuracy across our platform

You'll also work closely with our Data Science team to help test and improve AI models in real-world conditions, and support our Center of Excellence (COE) as it navigates an evolving global regulatory landscape.

Qualifications

• 0–2 years of experience in data analysis, supply chain, quality assurance, or a related field — fresh graduates with relevant internships are welcome
• Strong attention to detail and comfort working with incomplete real-world data
• Clear communicator — able to engage professionally with suppliers and explain issues simply to non-technical stakeholders
• Fluent in English (written and spoken); Mandarin Chinese is a strong advantage given our supplier base
• Genuine interest in how global regulations around product traceability and supply chain transparency are evolving — you don't need to be an expert, but you should want to become one
• Background or coursework in supply chain, sustainability, international trade, or consumer goods is a plus

Requirements

• Follow up with consumer goods suppliers to resolve data gaps, inconsistencies, and missing traceability information blocking implementation progress
• Map data flows across supply chain tiers and identify where breakdowns occur
• Review, validate, and correct incoming supplier data to ensure accuracy and completeness
• Maintain clear records of data issues, resolutions, and supplier communications
• Support the Data Science team in testing AI/ML model outputs against real traceability data
• Identify where and why the AI gets things wrong, and document patterns to inform model improvements
• Help Customer Success Managers monitor client progress, flag anomalies, and explain discrepancies to customers in plain language
• Contribute to ground-level research on international traceability and product transparency regulations relevant to consumer goods (e.g. EUDR, CSRD, country-of-origin requirements)
• Assist in drafting operating procedures, configuration guides, and data collection frameworks as regulatory requirements evolve
• Bring genuine curiosity to understanding how incoming regulations will shape what data brands and suppliers need to collect — and help translate that into practical guidance

Benefits

• 🍹 Unlimited Annual Leave: We prioritize your well-being and trust you to manage your time.
• 🏝️ Flexible Working: Whether from home, a coffee shop, or our global hubs, work where you're most comfortable.
• 💪 Project Ownership: You get to lead the initiatives you're passionate about, professionally or socially.
• 🌱 Grow with us: We're invested in your personal and professional development.
• 🌎 Global, diverse, and innovative team: Be part of a welcoming community from 30+ countries, where unique perspectives drive innovation.
• 🤝 Feel at home: Work closely with colleagues who value your voice, share our E.A.C.H. values, and help you be the best version of yourself.
• 🎉 Celebrate together: Enjoy remote and hub company and team events that strengthen our bonds and build a fun culture.