Responsibilities

• Extract and transform data from various sources including Power BI to create reports.
• Clean and pre-process data to ensure accuracy and consistency.
• Develop scripts and workflows to automate data collection and processing tasks.
• Daily rendition of reports for sales, shipment and other KPIs being tracked at the Divisional level.
• Scheduling and organizing Divisional meetings and trainings.
• Create visually appealing and interactive dashboards, reports, and presentations weekly and monthly for the Head of Division.
• Communicate findings and recommendations to stakeholders using data visualization tools.
• Collaborate with cross-functional teams to design and deliver actionable insights.
• Validate data accuracy, completeness, and integrity.
• Identify and address data quality issues and discrepancies.
• Implement data quality controls and monitoring mechanisms.
• Manage Divisional fleet allocations, repairs and other support functions needed for the FSTs to organize their tasks successfully.
• Analyze business processes and operations to identify opportunities for improvement.
• Provide decision support through ad-hoc analysis and scenario modeling.
• Participate in training programs and professional development opportunities.

Requirements

• Bachelor’s Degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• Proven experience in data analysis, business intelligence, or related roles.
• Proficiency in data analysis tools (e.g. Excel, Power BI, etc.).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and presentation abilities.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus.
• Knowledge of machine learning and data mining techniques is desirable.