Data Analyst

This role is responsible for building the visibility layer that enables Eu Yan Sang to gain a clear understanding of performance across its digital channels and support faster, data-driven decision-making. Operating across all four markets, the role partners closely with the broader digital task force to establish dashboards, define KPIs, ensure data integrity, and generate actionable insights.

The role combines strong technical capability in developing business intelligence solutions with the ability to translate data into meaningful insights, effectively partnering with business stakeholders to drive informed decisions and measurable outcomes.

Key Responsibilities

Data Infrastructure & Reporting

• Maintain unified performance dashboards across eCommerce, CRM, and paid media channels using Power BI or other agreed BI tools.
• Establish a single, trusted reporting framework that consolidates data from multiple platforms across all four markets.
• Define and document core KPI logic and measurement frameworks, ensuring consistent metric definitions across SG, HK, MY, and International.
• Support the tracking and tagging audit: identifying data gaps and working with IT to resolve them.

Analysis & Insight

• Conduct regular funnel analysis across all markets: identifying drop-off patterns, behavioural trends, and performance drivers.
• Analyse customer cohorts, purchase frequency, and lifetime value to support lifecycle marketing and retention strategy.
• Support the CRO Specialist with test analysis and statistical validation.
• Translate complex data into clear, actionable insights for non-technical stakeholders including market leads and senior leadership

CDP & Advanced Analytics

• Support the CDP implementation, contributing to data taxonomy, tagging requirements, and identity resolution framework.
• Ensure downstream data flows from the CDP into Power BI and other activation tools are accurate and reliable.
• As the programme matures, contribute to predictive analytics use cases such as churn modelling, propensity scoring, and LTV forecasting.

Governance & Quality

• Own data quality standards across the reporting environment, flagging anomalies, ensuring consistency, and maintaining documentation.

Key Requirements

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Economics, or a related field.
• Relevant certifications such as Google Analytics or Power BI are a plus.
• 3–5 years of experience in a data analyst or business intelligence role, ideally in eCommerce, retail, or consumer brands.
• Strong proficiency in Power BI/Big query; experience with Tableau or Looker is also welcome.
• Solid SQL skills: comfortable writing and optimising queries across relational databases.
• Working knowledge of GA4, Google Tag Manager, and eCommerce event tracking.
• Experience building and maintaining reports using CRM or marketing automation platforms
• Familiar with CDP concepts and data pipeline architecture is a plus.
• Competence in Python or R for data manipulation is desirable but not essential.
• Understanding or experience in TCM and wellness is a plus.
• Strong proficiency in English is required; additional language proficiency (e.g., Mandarin) may be beneficial for role-related communication needs
• Strong analytical rigour: you do not just report numbers but analyses them.
• Clear communicator: you can explain what the data means to people who do not live in spreadsheets.
• Detail-oriented and process-driven: you care about data quality as much as data insight.
• Comfortable operating in ambiguity
• Collaborative and curious: you will work across a wide range of teams and platforms.

Only shortlisted candidates will be notified.