Data Analyst (Supply Chain / Quality)

ConnectedGroup Limited; Hong Kong Island; On-site; HKD 480,000 - 800,000; Full time

Job summary

ConnectedGroup Limited in Hong Kong seeks an autonomous Analytics Engineer to own data excellence across Quality, Packaging, CSR/ESG, and Costing. You will build robust data pipelines, establish a Single Source of Truth, and deploy Control Tower dashboards to turn raw data into strategic decisions.

You'll partner with stakeholders to translate requirements, automate pipelines, ensure data quality, and deliver actionable insights with measurable business impact.

Qualifications

• Bachelor's degree or equivalent in analytics or related field.
• 5–7 years of analytics/MI experience in operations, sourcing, quality, or supply chain.
• Strong storytelling and ability to present to non-technical audiences.

Responsibilities

• Audit and map current metrics and data sources to define the Single Source of Truth within 90 days.
• Translate operational needs into clear reporting definitions with stakeholders across functions.
• Collaborate to automate and standardize data pipelines for reliable refreshes.
• Implement data quality controls and governance, and train users.
• Analyze datasets to identify trends and provide actionable improvements.
• Design and deploy stakeholder-friendly dashboards enabling real-time decisions.
• Present insights and track follow-ups with business owners.

Skills

Data storytelling

Stakeholder management

Analytical thinking

Problem solving

Education

Bachelor's degree in Business Analytics, Supply Chain, Data Science

Tools

Excel

Power Query

Tableau

Looker Studio

Power BI

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

• 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.