Supply Chain Analyst

Supply Chain Analyst

🚀 We’re Hiring: Supply Chain Analyst

📍 Digital Place Vision Pte Ltd – Indonesia (Alam Sutera)

📌 https://digitalplace.ai/

About DPV

At Digital Place Vision Pte Ltd, we are a team of visionaries on a mission to

revolutionize the retail landscape through intelligent AI. We don’t just build software,

we engineer next-generation AI systems that turn complex supply chain challenges

into actionable insights and smarter business decisions. If you are passionate about

retail supply chain, data analytics, and intelligent AI, and are ready to use your

expertise to shape how AI solves real-world business problems, join us and help

build the future of intelligent retail.

💡 About the Role

We are looking for a Supply Chain Analyst to improve the accuracy, reliability, and

business effectiveness of our AI-powered systems for supply chain operations. This

role combines supply chain expertise, data analysis, and critical thinking to ensure AI

systems understand business processes, identify operational issues, and generate

accurate, actionable insights.

You will work closely with AI Engineers, Data Engineers, Product Managers, and

Supply Chain stakeholders to translate business knowledge into analytical logic,

evaluation frameworks, and continuous system improvements. The focus is on

ensuring AI-generated analyses and recommendations align with real-world supply

chain operations.

What You’ll Do

Analyze Supply Chain Processes: Understand retail supply chain operations,

including inventory management, replenishment, product allocation, distribution

center operations, and store fulfillment.

Improve AI System Performance: Evaluate AI-generated analyses, root cause

explanations, and recommendations to identify inaccuracies, missing context,

and incorrect business assumptions.

Conduct Root Cause Analysis: Investigate supply chain issues using business

data and validate whether AI-generated conclusions are supported by evidence.

Define Business Logic: Translate supply chain processes, business rules,

operational constraints, and KPI definitions into structured requirements for AI

systems.

Develop AI Evaluation Frameworks: Create test scenarios, benchmark cases,

expected outputs, and evaluation criteria to measure AI accuracy, consistency, and business relevance.

Collaborate with Technical Teams: Work with AI Engineers, Data Engineers, and

Product Managers to identify system improvement opportunities and translate

business findings into actionable technical requirements.

Validate System Improvements: Conduct user acceptance testing and regression

testing to ensure changes improve AI performance without breaking existing

functionality. Maintain Business Knowledge: Document business rules, analytical

methodologies, edge cases, and reference scenarios to support continuous AI

system improvement.

Monitor Improvement Outcomes: Track recurring AI errors, evaluate

implemented changes, and identify opportunities to improve system reliability

and business impact.

✅ What We’re Looking For

Bachelor’s degree in Industrial Engineering, Supply Chain Management,

Operations Research, Information Systems, Data Analytics, or a related field.

2–5 years of experience in supply chain analytics, retail operations, inventory

planning, business analysis, or a related analytical role.

Solid understanding of retail supply chain processes, particularly inventory

management, replenishment, allocation, distribution, and store operations.

Strong analytical thinking and structured problem-solving skills, with the ability to

investigate root causes rather than focus only on symptoms.

Proficiency in SQL and experience analyzing and validating business data.

Experience with BI tools, data visualization, and KPI development.

Ability to translate business problems into clear business rules, analytical

requirements, and testable scenarios.

Strong critical thinking skills to evaluate whether AI-generated outputs are

logically sound, factually correct, and aligned with business requirements.

Excellent communication skills and the ability to collaborate with both technical

and non-technical stakeholders.

Familiarity with LLMs, AI-powered applications, prompt engineering, or AI

evaluation methodologies is a plus.

Experience with Python, APIs, test automation, or regression testing is an

advantage.

Proactive, detail-oriented, and comfortable working in a continuously evolving AI-

driven environment.

📩 Ready to apply? Send your updated C.V. to [email protected] (Indonesia

citizens only) or reach out directly – we’d love to connect!

Learn more about us: digitalplace.ai

🔗 Follow us on LinkedIn: Digital Place Vision Pte Ltd