Data Analyst (Supply Chain / Quality)

ConnectedGroup; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

ConnectedGroup is seeking an autonomous Analytics Engineer to own data excellence across Quality, Packaging, CSR/ESG, and Costing. You will design robust data pipelines, establish a Single Source of Truth, and build interactive Control Tower dashboards that translate raw data into high-impact business decisions.

This role connects operations with executive strategy, partnering with stakeholders to automate data workflows and deliver governance, insights, and real-time decision support for our

Qualifications

• Bachelor’s degree in Analytics, Supply Chain, Data Science, or related field.
• 5–7 years in analytics/MI/reporting for operations or supply chain, sustainability, or similar.
• Strong stakeholder management and data storytelling for senior/non-technical audiences.
• Hands-on with Excel/Sheets, BI tools, and SQL.

Responsibilities

• Data inventory, profiling, and establishing a single source of truth within 90 days.
• Translate operational needs into clear reporting definitions with stakeholders across Quality, Packaging, CSR/ESG, and Costing.
• Collaborate with Digital/Tech to automate and standardize data pipelines and improve refresh reliability.
• Implement data quality controls and governance; provide guidance to users and partners.
• Analyze datasets to identify trends and risks; deliver actionable process improvement recommendations.
• Design and deploy stakeholder-friendly dashboards (Agile iterations) for real-time decision-making.
• Present insights and track follow-ups with business owners as a data bridge.

Skills

Excel/Sheets

Tableau

Looker Studio

Power BI

SQL

BigQuery

Data storytelling

Stakeholder mgmt

Data quality

AI tools

Communication

Education

Bachelor's degree in analytics or related field

Tools

Tableau

Looker Studio

Power BI

Excel

Google Sheets

SQL

BigQuery

Job description

We are supporting a leading global retailer's Asian sourcing hub in hiring an autonomous, self-driven Analytics Engineer to own data excellence across Quality, Packaging, Responsible Sourcing (CSR/ESG), and Costing.

This role bridges operational realities with executive strategy by engineering robust data pipelines, establishing a Single Source of Truth, and building interactive Control Tower dashboards that turn raw data into high-impact business decisions.

Key Responsibilities

About the Role

We are supporting a leading global retailer's Asian sourcing hub in hiring an autonomous, self-driven Analytics Engineer to own data excellence across Quality, Packaging, Responsible Sourcing (CSR/ESG), and Costing.

This role bridges operational realities with executive strategy by engineering robust data pipelines, establishing a Single Source of Truth, and building interactive Control Tower dashboards that turn raw data into high-impact business decisions.

Key Responsibilities

• Data inventory & profiling: Audit, map, and document existing metrics/KPIs and data sources; define the department "Single Source of Truth" within the first 90 days.
• Requirements & translation: Partner with stakeholders across Quality, Packaging, Responsible Sourcing and Costing to translate operational needs into clear reporting definitions and business requirements.
• Pipeline enablement: Collaborate with the Digital/Tech team to automate and standardize data pipelines, reducing manual extraction and improving refresh reliability.
• Data quality & governance: Implement quality controls, validation checks, and "clean at the source" practices; provide light training/guidance to operational users and external partners.
• Insights & recommendations: Analyze datasets to identify trends and risks; deliver actionable process improvement recommendations on a regular cadence.
• Dashboards / Control Tower: Design and deploy stakeholder-friendly dashboards (Agile iterations), enabling real-time decision-making and measurable adoption.
• Communication & stakeholder management: Present insights and track follow-ups with business owners; act as the bridge between raw data and operational execution.

Requirements

• Bachelor's degree in Business Analytics, Supply Chain, Data Science, or related discipline.
• Experience: Ideally 5-7 years (minimum 3-4) in analytics/MI/reporting for operations, sourcing, quality, supply chain, compliance, sustainability, or similar.
• Strong stakeholder management and data storytelling skills (comfortable with senior/non-technical audiences).
• Hands-on capability with:
  • Excel / Google Sheets (Power Query / pivots; macros/AppScript a plus)
  • BI tools (Tableau / Looker Studio / Power BI)
  • SQL (BigQuery preferred)
  • Familiarity with modern AI tools is a plus
• Languages: Strong English required; Mandarin/Cantonese/French is a plus.

What Success Looks Like

• Clear, documented KPI definitions and an agreed "Single Source of Truth."
• Reduced manual reporting effort through automation.
• Reliable dashboards with stakeholder adoption and measurable business impact.