• Application Deadline:
• Position: Data Tracker (Analyst)



• Job Type Full Time



• Qualification BA/BSc/HND



• Experience 2 years



• Location Lagos




• Job Field Data, Business Analysis and AI 
  
  

Job Summary

• We are seeking a highly organized and detail-oriented Data Tracker to join our team. 


• The successful candidate will be responsible for tracking and analyzing data to identify trends, patterns, and insights that inform business decisions. 


• The Data Tracker will work closely with various teams to ensure data accuracy, completeness, and relevance.

Key Responsibilities

• Data Collection and Tracking: Collect and track data from various sources, including databases, spreadsheets, and other data systems.


• Data Analysis: Analyze data to identify trends, patterns, and insights that inform business decisions.


• Data Visualization: Create data visualizations, such as charts, graphs, and dashboards, to communicate findings to stakeholders.


• Data Quality: Ensure data accuracy, completeness, and relevance by identifying and addressing data quality issues.


• Collaboration: Work closely with various teams, including business development, marketing, and operations, to ensure data is used effectively to inform business decisions.


• Reporting: Provide regular reports and updates to stakeholders on data findings and insights.

Requirements

• Education: Bachelor's Degree in a relevant field, such as Computer Science, Mathematics, or Statistics.


• Experience: 2+ years of experience in data tracking, analysis, and visualization.

Skills:

• Proficiency in data analysis and visualization tools, such as Excel, Tableau, or Power BI.


• Strong analytical and problem-solving skills.


• Excellent communication and collaboration skills.


• Ability to work in a fast-paced environment and meet deadlines.

Nice to Have:

• Experience with data management systems, such as SQL or NoSQL databases.


• Knowledge of data visualization best practices and design principles.


• Familiarity with machine learning or statistical modelingtechniques.