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Data Business Intelligence Professional / Senior Prof

Công Ty Cổ Phần Chứng Khoán KAFI · Hồ Chí Minh
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Loại hình
Toàn thời gian
Hình thức
Tại văn phòng
Cấp bậc
Nhân viên
Ngành nghề
CNTT - Phần mềm
Mức lương
Thương lượng
Địa điểm
Quận 1, Hồ Chí Minh, Hồ Chí Minh

Tổng quan

  • Collaborate with business teams to understand requirements, define key metrics, and translate business questions into analytical solutions.
  • Analyze large datasets to identify trends, root causes, and actionable insights that directly influence business decisions.
  • Design and develop dashboards with clear business narratives, focusing on driving understanding and decision-making (not just reporting).
  • Communicate insights clearly and effectively to both technical and non-technical stakeholders.
  • Perform ad-hoc analyses to support business initiatives, performance tracking, and strategic planning.
  • Work closely with Data Engineers to understand data pipelines, ensure data quality, and propose data structure improvements for analytics use cases.
  • Contribute to the design of analytical data models / data marts to enable scalable and reliable analytics.
  • Your Skills and Experience
  • Must-Have:
  • Strong proficiency in SQL and experience with relational databases (PostgreSQL, Oracle).
  • Hands-on experience with BI tools such as Power BI, Tableau, or Looker.
  • Strong data visualization and data storytelling skills, with proven ability to generate actionable insights that support business decision-making.
  • Ability to connect data insights to business context, quantify impact, and provide clear recommendations for decision-making.
  • Good foundational understanding of data pipelines and data transformation to effectively collaborate with Data Engineers on data preparation.
  • Strong analytical thinking and problem-solving skills.
  • Honesty, dignity, and responsibility.
  • Precision, passion, open-mindedness, and quick self-learning skills in big data, as well as enthusiasm for solving business problems.
  • For Senior-level candidates, additional expectations include experience in hypothesis-driven analysis, predictive or forecasting models, scenario modelling, leading end-to-end analytics projects, and delivering strategic recommendations to senior stakeholders.
  • Nice-to-Have:
  • Background or experience of financial services, securities, or fintech.
  • Hands-on experience with cloud platforms (GCP, Azure, AWS).
  • Experience with Python, R, or similar programming languages.
  • Exposure to or ongoing learning in Data Science, Data Modelling, or Data Governance concepts.
  • Why You'll Love Working Here

Quyền lợi

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