Supply Chain Data Analyst (SQL/BI)

Location: Kuala Lumpur, Malaysia

Company

hirify.global develops healthcare products and operates a global supply chain supported by digital analytics and intelligence.

What you will do

• Partner with stakeholders across Planning, Procurement, Manufacturing, Engineering, Logistics, and other Supply Chain functions to translate operational challenges into analytics and reporting solutions.
• Develop, maintain, and enhance dashboards, reports, and scalable data products.
• Analyze supply chain data to identify trends, risks, and improvement opportunities.
• Collaborate with Product Owners, data engineers, and analytics teams on user-focused solutions.
• Develop and standardize KPIs, business metrics, reporting, and data governance practices.
• Support adoption through documentation, training, user engagement, and clear communication of insights.

Requirements

• Bachelor's degree in Data Science, Business Analytics, Information Systems, Computer Science, Engineering, Supply Chain, or a related discipline.
• 3–6 years of experience in a data analytics or business intelligence role.
• Hands-on experience developing dashboards and reports with Tableau, Power BI, Sisense, or similar business intelligence tools.
• Proficiency in SQL and working knowledge of enterprise data warehouses and data transformation principles, including platforms such as Snowflake.
• Analytical and problem-solving ability, with a practical approach to translating business requirements into useful solutions.
• Clear communication and effective collaboration across business and technical teams.
• Experience in Supply Chain, Planning, Procurement, Logistics, Manufacturing, or Operations environments.
• Ability to manage multiple priorities while delivering accurate, high-quality analytics.

Nice to have

• Exposure to multiple Supply Chain functions.
• Familiarity with data governance, KPI standardization, and analytics adoption.

Culture & Benefits

• Work within the Digital Supply Chain Insight and Intelligence Team on analytics supporting global supply chain decisions.
• Collaborate with diverse business and technical partners on scalable, practical solutions.
• Culture focused on excellence, support, inclusion, diversity, individual expression, and innovation.
• Opportunity to contribute to healthcare-focused work and improve the usefulness of supply chain data.