Analytics & Reporting
• Build and maintain dashboards, regular reports, and automated bots that support business teams across the full range — from top-management strategic direction down to day-to-day ground operations
• Monitor key metrics, alert the business to potential issues, and proactively spot risks and growth opportunities
• Ensure data is accurate and consistent across all dashboards, reports, and analysis
• Run daily, weekly, and monthly performance analysis to track business health and find opportunities
Business Partnership & Strategic Support
• Work closely with business leaders and teams, providing analysis that supports key decisions and target achievement
• Provide analysis and recommendations that help shape and steer business decisions on strategies, initiatives, and other key priorities
• Track how strategies and key initiatives are performing, and surface insights on top-priority business topics
• Contribute to cross-functional projects and business programs
• Turn data findings into clear business language — explain what is happening, why it matters, and what to do next
AI & Innovation
• Actively use AI tools in daily work to improve productivity, automate repetitive tasks, and enhance output quality
• Revamp and improve existing dashboards and reports to be AI-enabled and user-friendly
• Build automated reporting bots and AI-assisted analytical solutions
• Stay current with AI developments relevant to business analytics and apply them to work
On-Demand Support & Collaboration
• Provide on-demand data support and analysis as business needs arise
• Collaborate with cross-functional stakeholders to understand their needs and deliver end-to-end analysis, from data gathering to presentation
• Communicate with data and tech teams to turn business needs into data solutions
Must-have
• Strong analytical and numerical skills — you can break down unclear problems, spot patterns, and find insights in messy data
• Proficiency in SQL — you can write queries independently to extract, transform, and analyze data
• Experience with dashboarding tools such as Quick BI, Tableau, or Power BI
• Business sense — you understand (or are eager to learn) how a business works, and you think about “why” the data looks a certain way, not just “what” it shows
• AI proficiency — you actively use AI tools in your daily work, and you genuinely enjoy using them to work smarter. Not just aware of AI, but a real user
• Working-level English — you can read, write, and present analysis in English, as you will communicate with Singapore stakeholders regularly
• 3–5 years of experience in data analytics, business intelligence, strategy & planning, or a related analytical role (strong candidates with more experience are also welcome)
• Bachelor's degree or above in a quantitative or business-related field
Good to have
• Comfortable dealing with ambiguity, with the initiative to refine unclear goals as you go
• Business exposure in any industry, such as offline retail, brands, or FMCG — with e-commerce, platform, or tech experience a plus
• Ability to manage stakeholders and present analysis clearly — turning complex findings into simple business terms that non-data audiences can act on
• Basic knowledge of Python or similar scripting for analysis and automation