Data Analyst at Multipro Consumer Products Limited

About Multipro Consumer Products Limited

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. The first product sold by MCPL in 1996 was Indomie and since then it has played a seminal role in making Indomie a household brand in Nigeria. MCPL over the years has grown adding 13 brands in various categories comprising of Noodle, Snacks, Milk, Cereal, Oil, Homecare and Personal Hygiene.

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.

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Requirements and skills

• 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.

Application Closing Date
30th September, 2025.