Operational Analytics & Insights

• Own end-to-end operational analytics: delivery performance, driver utilization, on-time rates, surge pricing effectiveness, and order pooling efficiency
• Conduct root cause analysis on operational anomalies — e.g., why a specific zone has rising late delivery rates, whether surge pricing is effectively balancing supply and demand
• Build and maintain real-time operational dashboards that give operations teams visibility into live platform health and performance
• Design and implement alerting rules for critical operational metrics (e.g., abnormal surge trigger frequency, sudden driver supply drops, delivery SLA breaches)
• Partner with Product and Operations teams to translate operational data into actionable recommendations

ML Model Evaluation & Business Impact

• Define and track business metrics to evaluate the impact of ML models (surge pricing, ETA prediction, order pooling) on operational KPIs
• Design and analyze A/B tests and experiments for model rollouts
• Collaborate with ML Engineer to establish model performance baselines and monitor business-level model health
• Bridge the gap between model accuracy metrics and real-world business outcomes

• 4+ years of experience in data analytics, with at least 2 years focused on operational or product analytics in a tech/logistics/marketplace environment
• Strong SQL skills (complex queries, window functions, CTEs, query optimization) — this is your daily tool
• Proficiency in Python (pandas, numpy) for data manipulation and ad-hoc analysis
• Experience building dashboards and reports in BI tools (Metabase, Tableau, Looker, or similar)
• Experience working with Databricks or similar lakehouse/data warehouse platforms
• Demonstrated ability to go beyond "what happened" to "why it happened" and "what should we do about it"
• Strong communication skills — ability to present findings and recommendations to both technical and non-technical stakeholders
• Experience designing and analyzing A/B tests

Nice to Have

• Experience in logistics, ride-hailing, delivery, or marketplace domains
• Exposure to real-time/streaming data and real-time dashboards
• Familiarity with ML model evaluation from a business perspective (precision/recall tradeoffs, model monitoring)
• Prior experience mentoring junior analysts or leading a small analytics team
• Familiarity with dbt, Airflow, or similar data transformation/orchestration tools
• Strong stakeholder management skills, with the ability to effectively collaborate with and present to senior leadership.
• Self-driven learner, quick to acquire and apply new knowledge and technical skills.
• Experience mentoring or coaching junior analysts is a plus.

• Physical Wellbeing Benefit: General Insurance, Medical check-up, Accident Insurance, Healthcare Insurance
• Emotional Wellbeing Benefit: Company Trip, Year End Party, Aha Hour Activities, Special Day Gifts, Aha Club (Badminton, Soccer)
• Financial Wellbeing Benefit: Grab/Be For Work (Tech/Lead Level), Workplace Relocation, 13th Month Salary, PP Appreciate, Annual Leave Remain