Supply Chain Data Analytics Engineer — Dashboards & ESG

Randstad Hong Kong Limited

Hong Kong

On-site

HKD 600,000 - 900,000

Full time

3 days ago

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Job summary

Randstad Hong Kong Limited is seeking an Analytics Engineer to shape global supply chain and sustainability strategies by building scalable SQL and BigQuery ETL pipelines and delivering Tableau dashboards for executive decision-makers.

You will join a cross-functional team, acting as the technical connector between frontline operations, central data engineering, and leadership to turn complex data streams into strategic business value.

Qualifications

3 to 4 years of experience in operational analytics, data architecture, or data engineering (5 to 7 years preferred).
Proven track record of end-to-end analytics initiatives delivering measurable efficiency or cost improvements.
Bachelor’s degree in Data Analytics, Supply Chain Management, Data Science, BIS, or related field.
Strong BI and data engineering skills with SQL and Google BigQuery.
Experience with Tableau and Looker Studio; familiarity with scripting in Power Query, VBA, Apps Script.
Fluent English; Cantonese, Mandarin or French advantageous.

Responsibilities

Lead a comprehensive audit across operational data assets to establish a unified, documented source of truth.
Translate operational requirements from audit, compliance, packaging, ESG, 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.