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Senior Business Intelligence Associate
3 months ago
DepartmentBusiness Intelligence and Data Analytics- LevelExperienced (Individual Contributor)- LocationVietnam - Ho Chi Minh CityThe Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.
- Decode business logic to define and evaluate key metrics, then build tracking and reporting frameworks that drive growth and business efficiency.
- Curious and keep eyes open for moving things or abnormalities in business trends, to investigate root causes of changes, and regularly communicate the state of the business to stakeholders.
- Actively identify new revenue-maximizing opportunities through deep-dive analysis.
- Support various business functions to build, maintain, and ensure the consistency of management dashboards and underlying data.
- Being proactive to improve business efficiency across all processes.
**Requirements**:
- 2+ years’ experience in a Business Intelligence or Data Analytics role with proven business impact.
- Guru in Excel Pivot Table, SQL is a must.
- Capable of leading conversations in cross-functional teams to identify problems, collect requirements, and propose steps to resolve issues - both on a macro-level and a micro-level
- Quick learner with a can-do attitude.
- Build easily digestible dashboards/visualizations for business stakeholders
- Excellent written and verbal communication skills to interact with all levels of business stakeholders.
- Fundamental knowledge of statistical programming language (Python, R) to manipulate and draw insights from large data sets.
- Knowledge and experience in ETL processing or working with data engineers is a plus.
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