• Application Deadline: Fri, 20 Oct 2023 00:00:00 GMT
• Position: Data Analyst


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• Job Field Data, Business Analysis and AI 
  

Job Description

• The Data Analyst is responsible for collecting, analyzing, and interpreting data to support strategic decision-making within the organization.


• This role involves working with large datasets, creating meaningful reports, and collaborating with cross-functional teams to uncover insights and trends.

Key Responsibilities

Data Collection and Cleaning:

• Collect and compile data from various sources, ensuring data accuracy and integrity.


• Clean and preprocess data to prepare it for analysis.

Data Analysis:

• Perform exploratory data analysis to identify trends, patterns, and anomalies.


• Conduct statistical analysis and data modeling to extract actionable insights.

Report Generation:

• Create and maintain reports, dashboards, and visualizations to communicate key findings to stakeholders.


• Develop automated reporting systems for regular data updates.

Data Interpretation:

• Translate complex data into understandable and actionable insights for non-technical stakeholders.


• Provide data-driven recommendations to support decision-making.

Data Quality Assurance:

• Monitor data quality and integrity, implementing measures to identify and rectify data discrepancies.


• Develop and maintain data quality standards and procedures.

Cross-Functional Collaboration:

• Collaborate with departments across the organization to understand their data needs and provide analytical support.


• Work with IT teams to ensure data accessibility and security.

Continuous Improvement:

• Stay updated on industry trends and emerging technologies in data analysis.


• Identify opportunities to improve data collection and analysis processes.

Qualifications

• Bachelor's Degree in Data Science, Statistics, Computer Science, or a related field.


• Proven experience as a Data Analyst or in a similar role.


• Proficiency in data analysis tools and software (e.g., Python, R, SQL, Excel).


• Strong analytical and problem-solving skills.


• Excellent data visualization and reporting abilities.


• Knowledge of statistical analysis techniques.


• Attention to detail and a commitment to data accuracy.


• Effective communication and presentation skills.


• Ability to work both independently and collaboratively.