Data Analyst at Golden Oil Industries Limited

Golden Oil Industries Limited was incorporated in Nigeria on 8th September 1988. Golden Oil Industries Limited has grown into a household name in Nigeria's edible oil's industry. The company's focus is to provide healthy oil as a cooking medium to its customers. The company is Nigeria's trusted name for supply of refined palm oil, palm kernel oil, olein, soybean Oil, stearin, soybean meal, soy lecithin, and palm kernel de-oiled cake. Our oils are used as healthy cooking medium. Soybean meal and palm kernel de-oiled cake are used in premier poultry / animal feed.

Job Summary

We are seeking a detail-oriented and analytical Data Analyst to collect, process, and interpret complex datasets into actionable business insights. The ideal candidate will have strong technical skills, a passion for data-driven decision-making, and the ability to communicate findings clearly to both technical and non-technical stakeholders.

Job Details

Key Responsibilities

1. Collect, clean, and validate data from multiple internal and external sources.
2. Analyze large datasets to identify trends, patterns, and insights that support business decisions.
3. Develop and maintain dashboards, reports, and data visualizations to track performance metrics.
4. Collaborate with cross-functional teams to understand data needs and provide analytical solutions.
5. Use statistical methods and predictive models to support forecasting and business planning.
6. Ensure data accuracy, integrity, and compliance with organizational policies and data governance standards.
7. Present analytical findings and recommendations to management in a clear and actionable manner.
8. Continuously improve data processes, tools, and methodologies.

Requirements

1. Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
2. Minimum of 4 years proven experience as a Data Analyst or in a similar analytical role.
3. Strong proficiency in SQL and data querying.
4. Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Looker).
5. Proficiency in Excel and statistical analysis tools (e.g., R, Python, SAS).
6. Strong problem-solving skills and attention to detail.

Method of Application

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