Multipro Consumer Products Limited is the largest company in Nigeria dealing in Sales, Haulage and Logistics. MCPL was founded in 1996 as a fully owned company of the Tolaram Group.
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.
Method of Application
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