Data Analyst at Christian Rural and Urban Development Association of Nigeria (CRUDAN)

OBJECTIVE

• The primary objective of this role is to leverage data to drive effective communication and representation of result as well as improve decision-making by extracting valuable insights from data and translating them into actionable recommendations, also to help organizations optimize operations, identify new opportunities, and mitigate risks.

SCOPE OF WORK

Data Exploration and Analysis:

• Conduct exploratory data analysis (EDA) to understand data characteristics.
• Identify patterns, trends, and anomalies within the dataset.
• Utilize statistical methods and techniques to analyze data.
• Build predictive models and conduct hypothesis testing.

Data Visualization:

• Create clear and informative data visualizations (charts, graphs, dashboards).
• Communicate findings effectively to both technical and non-technical audiences.

Reporting and Insights:

• Develop comprehensive reports summarizing data findings and insights.
• Present actionable recommendations based on data analysis results.

DELIVERABLES/SUCCESS INDICATORS/EXPECTED RESULTS

The following deliverables will be expected at the end of this activity:

• Conduct comprehensive data exploration and analysis to identify trends, patterns, and correlations within data.
• Develop and implement data analysis models
• Create informative and visually appealing data visualizations
• Develop robust data cleaning and preprocessing pipelines to ensure data quality.
• Build predictive models using statistical and machine learning techniques.
• Create interactive data visualizations to communicate findings effectively.
• Develop detailed reports and presentations summarizing key findings and recommendations.
• Work closely with the MEAL Officer and other CRUDAN project staff to deliver tasks

MEANS OF VERIFICATION

• Comprehensive analysis report

REQUIREMENTS:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field
• Strong proficiency in data analysis tools and programming languages (Python, R, SQL, etc.)
• Excellent problem-solving and critical thinking skills
• Ability to communicate complex findings effectively to both technical and non-technical audiences
• Strong attention to detail and accuracy
• Experience in data management and analysis (Links to previous works such as developing a comprehensive report representation of key findings in graphical charts, etc should be included in Resume).