Job Description

• Analyze and monitor performance across key business functions (Sales, Manufacturing, Supply, Logistics, Commercial).
• Design, build, and maintain dashboards and performance reports using data sources through ERP Excel, Power BI, and other analytics tools.
• Provide data-driven insights and actionable recommendations to support business decisions.
• Collaborate with department heads to define performance metrics and track progress against targets.
• Identify trends, variances, and opportunities for operational and financial improvements.
• Support continuous performance improvement through regular reporting, action plans, monitoring, and analysis.
• Analyze large datasets to detect patterns, bottlenecks, and opportunities for process optimization.
• Develop and monitor KPIs to measure the effectiveness of business processes and initiatives.
• Present findings and recommendations to stakeholders in a clear and compelling way.
• Ensure data quality, integrity, and accuracy in all analytics outputs.
• Work with cross-functional teams (Product, Sales, Operations, Finance) to align analytics with business goals.
• Stay up to date with analytics trends, tools, and best practices.
• Support advanced analytics initiatives such as predictive modeling and data-driven experiments (optional/advanced).

   

Requirements

• Bachelor’s degree in Accounting, Finance, or Business Administration
• Minimum of 3 to 5 years of experience in financial control, performance analysis, financial data analytics
• Advanced proficiency in Oracle, Excel; experience with Power BI or similar BI tools is required.
• Strong analytical, critical thinking, and problem-solving skills.
• Solid understanding of KPIs, business metrics, and operational performance measurement.
• Strategic mindset with strong attention to detail especially in the manufacturing industry.
• Excellent communication and presentation skills to convey insights to stakeholders.
• Experience in the manufacturing industry is a plus.
• Familiarity with advanced analytics techniques (predictive modeling, data visualization) is a plus.