Business Data Analyst at Dangote

The Dangote Group is one of the most diversified business conglomerates in Africa with a hard-earned reputation for excellent business practices and products’ quality with its operational headquarters in the bustling metropolis of Lagos, Nigeria in West Africa.
The Group’s activities encompass:

Cement – Manufacturing / Importing
Sugar – Manufacturing & Refining
Salt – Refining
Flour & Semolina – Milling
Pasta – Manufacturing
Noodles – Manufacturing
Poly Products – Manufacturing
Logistics – Port Management and Haulage
Real Estate
Dangote Foundation

Since inception, the Group has experienced phenomenal growth on account of quality of its goods and services, its focus on cost leadership and efficiency of its human capital. Today, Dangote Group is a multi-billion Naira company poised to reach new heights, in every endeavour competing with itself to better the past.

The Group’s core business focus is to provide local, value added products and services that meet the ‘basic needs’ of the populace. Through the construction and operation of large scale manufacturing facilities in Nigeria and across Africa, the Group is focused on building local manufacturing capacity to generate employment and provide goods for the people.Role Summary

We are looking for a meticulous and analytical Business Data Analyst to become a part of our team.
The perfect candidate will have robust capabilities in data gathering, analysis, and interpretation, along with the ability to convert intricate data sets into actionable insights.
You will collaborate closely with cross-functional teams to gather, analyze, and interpret data, producing actionable BI reports, dashboards, and visualizations that empower the organization to make informed, data-driven decisions.

Key Responsibilities

Collect, clean, and analyze data from multiple sources to support business objectives.
Statistical analysis on data
Continuously monitor business performance and compare against industry benchmarks. Make recommendations based on findings.
Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
Perform statistical analysis and predictive modeling to identify trends, patterns, and insights.
Collaborate with cross-functional teams (e.g., marketing, finance, operations) to understand data needs and deliver actionable insights.
Prepare detailed reports, summaries, and presentations to communicate findings to stakeholders.
Perform data validation and ensure data accuracy and integrity.
Design and implement data queries and extract information from databases.
Identify areas for process improvement through data analysis and suggest strategies to enhance business operations.
Continuously monitor and assess the performance of systems, processes, and strategies through data analysis.
Assist in the preparation and review of business forecasts and performance reports.

Requirements

Strong proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R, Tableau, Power BI).
Must have at least 7 years relevant experience
Familiarity with statistical analysis techniques and data visualization best practices.
Experience with data cleaning and transformation, as well as working with large datasets.
Familiarity with business intelligence platforms and data visualization tools (e.g., Power BI, Tableau, Qlik)
Strong problem-solving skills and attention to detail.
Excellent communication skills, with the ability to present data-driven insights clearly and concisely.
Knowledge of database management and query languages (e.g., SQL).