Business Intelligence Specialist

4 days ago


Ho Chi Minh City, Ho Chi Minh, Vietnam ASIA INGREDIENTS GROUP Full time

Job Description

A. Data Analysis and Financial Reporting

  • Reporting and Visualization:
    Design, build, and maintain automated reports and dashboards that effectively visualize key business performance indicators (KPIs) and financial metrics, ensuring accuracy and timeliness.
  • Deep-Dive Analysis:
    Conduct in-depth data analysis, specifically focusing on financial areas such as revenue, profitability, cost structures, budget forecasting, and Return on Investment (ROI).
  • Decision Support:
    Provide analytical models, forecasts, and data modeling to support the Finance Manager in strategic planning, risk assessment, and identifying areas for process improvement.

B. Technical and Data Systems

  • Data Querying:
    Expertly query and extract data from various source systems (ERP, CRM, Data Warehouse) using
    SQL
    and other programming languages.
  • BI Tool Development:
    Possess strong proficiency in utilizing and administering BI tools (e.g., Power BI, Tableau, Looker) to develop robust analytical solutions.
  • Process Optimization:
    Collaborate closely with the IT/Data Engineering teams to enhance ETL (Extract, Transform, Load) processes and optimize data architecture for superior BI reporting.

Requirements:

  • Bachelor's degree in information technology (IT), Management Information Systems, Computer Science, or a closely related quantitative field.
  • Minimum of 3 years of professional experience in a Business Intelligence Analyst/Executive, Data Analyst, or quantitative role, preferably within the Finance domain.
  • Exceptional analytical skills, logical thinking, and a strong affinity for working with complex numerical data.
  • High proficiency in SQL for data manipulation and extraction.
  • Solid experience with one or more major BI Visualization Tools (e.g., Power BI, Tableau, Looker).
  • Excellent verbal and written communication skills with the ability to clearly translate complex technical findings into business context for non-technical stakeholders (especially the Finance Manager).
  • Experience working with financial ERP systems.
  • Knowledge of Data Modeling and Data Warehousing concepts.


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