Senior Business Intelligence Analyst (Ecommerce/Commercial Domain) - Business Intelligence & Planning, ShopeeFood
Shopee View all jobs
- Ho Chi Minh City
- Permanent
- Full-time
- Design and develop scalable data marts and data pipelines with aligned metrics to support new product initiatives and analytics use cases.
- Build and own end-to-end data pipelines from raw event data to business-ready tables, ensuring reliability, performance, and testability.
- Build and own end-to-end data pipelines from raw event data to business-ready tables, ensuring reliability, performance, and testability.
- Define and standardize core business metrics - GMV, conversion rate, DAU, funnel KPIs - to create a single source of truth across teams.
- Conduct deep-dive analyses to identify growth levers, surface demand trends, and generate actionable recommendations for marketing, product, and commercial strategies.
- Design, execute, and evaluate A/B tests end-to-end: hypothesis formation, power analysis, experiment design, result interpretation, and post-experiment monitoring.
- Proactively identify anomalies, shifts in business performance, and leading indicators that require stakeholder attention.
- Develop and maintain dashboards, reports, and data visualizations to monitor key performance and business metrics.
- Deliver ad-hoc analyses to address critical business questions, uncover trends, and support decision-making processes.
- Translate complex data into clear, actionable insights tailored for both technical and non-technical stakeholders.
- Continuously enhance BI processes by leveraging advanced tools, including AI-driven solutions, to improve productivity and analytical capabilities.
- Mentor and guide junior team members to strengthen their technical and analytical skills, fostering a culture of continuous learning and improvement.
- Qualifications:
- 4+ years of experience in a Business Intelligence, Analytics Engineering, or Data Analytics role, preferably in ecommerce or a high-growth startup.
- Advanced SQL proficiency - including window functions, CTEs, performance tuning, and query optimization on distributed systems (Presto/Trino, BigQuery, Redshift, or Snowflake).
- Proficiency with BI and visualization tools (Tableau, Power BI, or Looker).
- Demonstrated experience designing and evaluating A/B tests, including statistical significance, power analysis, and experiment lifecycle management.
- Strong understanding of dimensional modeling, metric layer design, and data pipeline concepts.
- Familiarity with event tracking implementation tool (google tag manager, google analytics)
- Domain knowledge in ecommerce, food delivery, or marketplace platforms - particularly around demand planning, campaign analytics, or product funnel metrics.