I. MAIN ROLES & RESPONSIBILITIES

• Collaborate with cross-functional teams (Business, Sales, Marketing, Finance, Operations, Tech) to gather business requirements and translate them into actionable analytical insights.

• Design, develop, and maintain automated dashboards and reports (daily/weekly/monthly) to track key performance indicators (KPIs) using Power BI.

• Conduct in-depth analysis of sales performance, customer segmentation, and market trends to identify growth opportunities and performance gaps.

• Prepare regular business review reports for senior management and propose data-driven recommendations to support business growth and optimization.

• Develop, manage, and maintain statistical and forecasting models to predict customer behavior and support strategic decision-making.

• Ensure data accuracy, consistency, and quality by monitoring, validating, and continuously improving reporting systems and data pipelines.

• Work closely with development and data engineering teams to manage ETL processes and integrate data from multiple sources into the data warehouse.

• Provide analytical support to various teams for campaign planning, financial forecasting, and operational efficiency improvement.

• Lead and drive ad-hoc analytical projects to address business challenges, identify root causes, and optimize overall business performance.

II. REQUIREMENTS

Education and Knowledge

• Bachelor’s degree in Auditing, Data Science, Business Analytics, or a related field.

Experience

• Minimum 5 years of experience in data analysis, business intelligence, or business analysis.

• Advanced proficiency in SQL, Power BI, Tableau, and Microsoft Excel.

• Strong hands-on experience in building dashboards, analytical models, and management reports.

• Proven ability to work independently across departments and deliver results with minimal supervision.

• Excellent problem-solving and critical thinking skills, with the ability to translate complex data into clear, actionable insights.

Skills and Abilities

• Strong communication and presentation skills, capable of explaining analytical findings to senior stakeholders.

• Experience with ETL processes, data warehousing, and multi-source data integration is a strong advantage.

• Prior experience in retail, fintech, or convenience store industries is preferred.

Other Characteristics

• High level of integrity and professionalism.

• Strong attention to detail and data accuracy.

• Ability to work under pressure, manage multiple priorities, and meet tight deadlines.