About the Role
We are looking for a Senior Data Analyst who combines strong analytical depth with genuine business acumen — someone who doesn't just build dashboards, but understands the commercial and operational realities behind the numbers.
In this role, you will translate complex data across Supply Chain, Commercial, and Operations into clear insights, robust reporting frameworks, and decision-support tools that drive measurable business outcomes. You will work closely with stakeholders across business units and the Central Data & AI team to strengthen analytics capabilities and data governance.
Key Responsibilities
- Analyze operational, sales, and inventory datasets to surface trends, risks, and business opportunities with clear commercial implications.
- Translate business questions into analytical frameworks and deliverables — dashboards, KPI trackers, exception reports — that non-technical stakeholders can act on.
- Provide data-driven recommendations that directly support business performance, supply chain efficiency, and operational decision-making.
- Build and maintain dashboards across key business KPIs (sales performance, stock efficiency, product availability, service levels, replenishment).
- Develop standardized reporting frameworks for real-time and scheduled business reviews.
- Partner with Data Engineers and Data Scientists to validate data pipelines, ensure data accuracy, and shape the BI semantic layer and data mart design.
- Maintain business metric definitions, data dictionaries, and documentation for analytics datasets.
- Support automation initiatives including exception-based management and reporting automation; help streamline manual reporting processes across business teams.
What We're Looking For
- Bachelor's degree or higher in a quantitative or business-related field — Analytics, Statistics, Mathematics, Supply Chain, Economics, or equivalent. Strong academic performance is a plus.
- 4+ years of experience in data analysis, business analytics, or BI roles, with a track record of working directly with business stakeholders — not just delivering technical outputs.
- Solid SQL skills; proficiency with at least one BI platform (Power BI, Tableau, Looker, or equivalent).
- Demonstrated ability to understand business context: you know what the numbers mean for the P&L, not just what the query returns.
- Experience in industries where operational complexity matters — FMCG, Retail, Supply Chain, F&B, or Consumer Products. Candidates with Masan-adjacent domain exposure are strongly preferred.
- Strong communication skills — able to present data narratives to commercial and operational leaders clearly and confidently.
Nice to Have
- Hands-on experience with Supply Chain analytics: demand forecasting, inventory planning, replenishment, or DC/warehouse-to-store allocation.
- Exposure to Data Science or ML forecasting workflows.
- Experience with Python or R.
- Familiarity with cloud data platforms (Azure, GCP, Snowflake).
Why Join Us
- Work on analytics initiatives that directly influence large-scale business decisions across one of Vietnam's largest consumer conglomerates.
- Collaborate with modern data infrastructure and cross-functional teams applying advanced analytics at scale.
- Join a team that values business impact over technical complexity.
