Data Analyst (Digital Platform) - SCG Distribution
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 26, 2026.
Job Summary
Responsible for managing, analyzing, and visualizing data from Rakmao Platform to support business decision-making. The role covers data preparation and quality management, dashboard and report development, and analysis to identify business insights and opportunities, while leveraging Python, SQL, Power BI, and AI/automation tools to improve data processes and operational efficiency.
Key Responsibilities
Manage and prepare data for analysis, including Master Data, Data Cleansing, Data Transformation, Grouping, and Segmentation, while ensuring data quality and accuracy.
Develop and maintain dashboards and visualized reports using Power BI, including Data Models, DAX, and Power Query, to support data utilization across relevant business functions.
Use Python and SQL to manage, analyze, and process data, including applications in Data Processing and ETL.
Analyze business requirements and data to identify insights, opportunities, and abnormal data, and develop dashboards or data solutions to support business decision-making.
Collaborate with Developer / IT teams and relevant stakeholders in cross-functional teams to develop end-to-end data analytics solutions and automation.
Apply Generative AI and AI-Assisted Tools to support data analysis and code debugging, improve work efficiency, and validate the accuracy and reliability of generated outputs.
Qualifications
Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Business Analytics, or other related fields.
Relevant experience in Data Analytics, Information System Management, Big Data, AI, or Power BI.
Proficiency in Power BI, particularly dashboard and visualized report development.
Ability to use SQL and Python for data management, analysis, and processing.
Working knowledge of Google BigQuery.
Proficiency in Microsoft Office.
Working proficiency in English.
Strong analytical and data management skills, with a good understanding of Data Analysis, Data Quality, and Business Logic.
Ability to analyze problems and communicate business-related data effectively with relevant stakeholders.
Ability to leverage AI / AI-Assisted Tools to improve work efficiency.
Strong learning agility and problem-solving skills, with the ability to collaborate effectively in a cross-functional team.