Assistant Manager - Business Intelligence

MakroPRO is building Thailand’s next-gen commerce engine — blending offline retail, express delivery, and digital marketplace into one powerful omni-retail platform.

We’re hiring an Assistant Manager - Business Intelligence to join our growing team.

Responsibilities:

Core Business Intelligence

• Create self-serve dashboards for Commercial, Marketing, Product, and Ops teams using Power BI and monitor real-time business health and proactively alert teams on performance anomalies or trend shifts.
• Implement effective platform, marketing and campaign-level ROI frameworks to measure promotion and pricing efficiency.

Advanced Analytics & Data Thinking

• Define segmentations, LTV models, buyer cohorts, and marketplace health indicators.
• Conduct funnel analysis across app journey — from acquisition to repeat behavior and basket expansion.
• Initiate & lead data science project and collaborate with data science teams to model forecasting, pricing elasticity, churn signals, etc.

Cross-Functional Strategy

• Partner with category heads, marketing leads, and Ops and Product owners to translate business needs into analytics action plans.
• Work with Product and Tech on instrumentation, tagging, event tracking, and feature experiments.
• Coach and mentor junior analysts on structured problem solving, data storytelling, and tooling best practices.

Business Outcomes

• Improve campaign ROI, customer reactivation rates, and platform conversion through actionable insights.
• Reduce data turnaround time and increase adoption of BI tools across stakeholder teams.
• Push MakroPRO toward a data-first culture with proactive insight generation and operational integration.

Requirements

• 3–5 years of experience in BI, analytics, or data strategy — at least 3 in e-commerce, Consulting, or omni-retail
• Strong SQL, Python and dashboarding (Power BI)
• Experience designing campaign tracking, funnel metrics, marketing attribution, and customer journey analytics
• Strong commercial sense — ability to think like a category lead, not just an analyst
• Comfortable with ambiguity, owning workstreams, managing stakeholders, tight deadlines, and high-stakes decision-making
• Bonus: Knowledge Data Science, ML models, or AI tools (even better if you've piloted them in a business context)