analytics engineer – supply chain data (hong kong).

about the company.
Our client serves as the Asia-based international sourcing arm for a premier global retail enterprise. Operating at the centre of a worldwide supply chain network, the organization is undergoing a comprehensive digital transformation across its operational and sustainability ecosystems. They foster an innovative, collaborative, and agile workplace culture where data-driven insights directly shape corporate strategy and international sustainability standards

about the team.

You will join a dynamic, cross-functional operational quality team, reporting directly to the Quality Project Manager. In this role, you will act as the primary technical connector between frontline supply chain operations, central data engineering units, and executive leadership. The team relies on direct ownership, technical curiosity, and close collaboration to turn complex data streams into strategic business value.

about the job.

• Lead a comprehensive audit across operational data assets to establish a unified, documented source of truth.
• Translate operational requirements from audit, compliance, packaging, environmental, and financial teams into technical reporting specifications.
• Collaborate with central engineering to build and automate ETL data ingestion pipelines, targeting a 50% reduction in manual data extraction within 9 months.
• Establish data validation standards and proactive quality checks to maintain a 98% data accuracy baseline across internal teams and external vendors.
• Conduct exploratory analysis across supplier compliance, packaging, ESG, and financial datasets to uncover risk-mitigating process improvements.
• Design, build, and deploy interactive Tableau and Looker Studio BI control dashboards using agile iteration methods.
• Deliver monthly performance and optimization reviews to executive leadership, converting complex analytical outputs into actionable operational mandates.

skills & experiences required.

• 3 to 4 years of experience in an operational analytics, data architecture, or data engineering role (5 to 7 years preferred).
• Proven track record of taking end-to-end ownership of analytics initiatives that achieved measurable efficiency or cost improvements.
• Bachelor’s degree in Data Analytics, Supply Chain Management, Data Science, Business Information Systems, or a related quantitative field.
• Technical expertise in Business Intelligence platforms (Tableau, Looker Studio) and advanced spreadsheets (Power Query, VBA, AppsScript).
• Strong data engineering and querying skills with SQL (specifically Google BigQuery).
• Familiarity with generative AI tools and intelligent agent frameworks to enhance analytical efficiency.
• Native or full professional fluency in written and spoken English is required; proficiency in Cantonese, Mandarin, or French is advantageous.
• Outstanding communication and stakeholder management skills with the ability to convey complex data insights to senior executives.

If you are interested in this role, please click 'Apply Now' or send your CV directly to heather.yin@randstad.com.hk.