Business data analyst at Multipro Consumer Products Limited in Nigeria
Organization:
- Multipro Consumer Products Limited
Job Location:
- Nigeria
Employment Type:
- Full time
Date Posted:
Job Description
Duties
- Extract and transform data from various suppliers which includes Power BI to produce documentation.
- Clean and pre-process data to guarantee precision and uniformity.
- Formulate scripts and processes to automate data collection and processing duty.
- Routine rendition of documentation for sales, shipment and other KPIs being tracked at the Divisional level.
- Planning and arranging Divisional sessions and development sessions.
- Produce visually appealing and interactive dashboards, documentation, and demonstrations on a weekly basis and every month for the Chief of Division.
- Convey findings and strategic guidance to participants using data visualization resources.
- Work alongside cross-operational teams to design and supply practical findings.
- Confirm data precision, thoroughness, and honesty and reliability.
- Recognize and handle data accuracy concerns and discrepancies.
- Execute data accuracy regulates and supervising mechanisms.
- Oversee Divisional fleet distributions, repairs and other assist processes needed for the FSTs to arrange their duty successfully.
- Evaluate operational workflows and processes to recognize avenues for advancement.
- Offer decision assist through as-needed evaluation and scenario modeling.
- Engage in learning programs and career advancement avenues.
Qualifications
- Bsc in Statistics, Mathematics, Computer Science, Economics, or relevant field.
- Demonstrated expertise in data evaluation, business intelligence, or associated positions.
- Competence in data evaluation resources (e.g. Excel, Power BI, etc.).
- Robust logical and analytical abilities with meticulousness.
- Clear articulation and visual communication abilities.
- Capability to operate independently and jointly in a dynamic environment.
- Expertise with data visualization resources (e.g., Tableau, Power BI, etc.) will be an added advantage.
- Expertise in machine learning and data mining methods is preferred.
Application Due Date
- Monday 29th Sep, 2025
Steps To Apply
Suitable applicants should: Click here to submit application online