• Application Deadline: Fri, 11 Oct 2024 00:00:00 GMT
• Position: Data Analyst


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• City Yaba


• Job Field Data, Business Analysis and AI 
  

Job Summary

• The Junior Data Analyst supports the data analysis team in collecting, processing, and analyzing data to generate insights and support decision-making processes within the organization.


• This entry-level role involves assisting senior team members in data-related tasks, learning data analysis techniques, and contributing to the development of analytical solutions.


• The Junior Data Analyst works under the guidance of more experienced analysts and collaborates with cross-functional teams to understand business requirements and deliver actionable insights.

Duties & Responsibilities 

• Data Collection and Preparation:
  
  
  
  • Assist in the extraction, cleaning, and preprocessing of data from various sources to ensure data quality and integrity.
  
  
  • Learn to develop and maintain data pipelines and workflows for efficient data extraction, transformation, and loading processes.
  
  
  • Collaborate with team members to identify data sources and access data needed for analysis.
  
  
  
  


• Data Analysis Support:
  
  
  
  • Assist senior analysts in conducting data analysis tasks, such as descriptive statistics, data profiling, and data visualization.
  
  
  • Learn to apply statistical techniques and machine learning algorithms to analyze data and identify patterns, trends, and insights.
  
  
  • Support the development of analytical models and algorithms under the guidance of senior team members.
  
  
  
  


• Data Visualization and Reporting:
  
  
  
  • Learn to create basic visualizations, charts, and reports using data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively.
  
  
  • Assist in the preparation of presentations and reports summarizing analysis results for stakeholders.
  
  
  
  


• Documentation and Documentation:
  
  
  
  • Maintain accurate documentation of data sources, methodologies, and analysis procedures.
  
  
  • Learn to write clear and concise documentation to facilitate knowledge sharing and collaboration within the team.
  
  
  
  


• Continuous Learning and Development:
  
  
  
  • Actively participate in training programs, workshops, and self-study to enhance technical skills and knowledge of data analysis techniques.
  
  
  • Seek feedback from senior team members and incorporate learnings into professional development activities.
  
  
  
  


• Any other task as assigned by the Line manager