• Application Deadline: Fri, 23 May 2025 00:00:00 GMT
• Position: Data Analyst



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 3 - 3 years



• Location Abuja , Oyo




• Job Field Data, Business Analysis and AI 
  
  




• Salary Range ₦300,000 - ₦400,000/month
  
  

• We are looking for an experienced Data Analyst who has analytical and problem-solving skills. He/she will gather data from various sources and then review and interpret it using data analysis tools to provide meaningful information and insights to help businesses make better-informed decisions

Responsibilities:

• Acquire data from primary or secondary data sources and maintain databases/data systems.


• Interpret data, analyze results using statistical techniques, and provide ongoing reports.


• Performing data cleaning and analysis to assess and improve the quality and meaning of data


• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets can be helpful for the diagnosis and prediction


• Analyzing local, national, and global trends that impact both the organization and the industry


• Preparing reports for the management stating trends, patterns, and predictions using relevant data


• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Qualification and Skills:

• A degree in data science, computer science, statistics, mathematics, economics or other relevant fields is required.


• At least three(3) years of Data Analysis experience using Microsoft Excel, SQL, Power BI, Tableau and Google Sheets. Knowledge of statistical methodologies is an added advantage.


• Relevant Data Analytics Certification (Google Data Analytics Professional Certification or Microsoft Data Analyst Associate Certification) is a must.


• Strong knowledge of GIS tools (ArcGIS or QGIs) is a plus


• Excellent numerical and analytical skills are required. He/she must have excellent written, oral, data and graphical communication skills,


• Strong math, logic, and statistical skills


• Adept at queries, report writing, and presenting findings.