DATA ANALYST INTERN – BoFiNet

VACANCY

The incumbent will be responsible for data analysis which typically involves collecting, organizing, and analyzing data to provide insights for decision-making. This role includes tasks like identifying data sources, preparing data for analysis, analyzing data, and communicating findings through reports and visualizations.

Key performance areas

• Data Collection and Preparation: Identifying and collecting data from various sources, cleaning and transforming data for analysis.

• Data Analysis: Applying statistical tools and techniques to analyze data, identify patterns, and draw conclusions.

• Data Visualization: Creating visual representations of data, such as charts and graphs, to communicate findings effectively.

• Report Generation: Preparing reports and presentations for stakeholders, summarizing findings and recommendations.

• Database Management: Designing, implementing, and maintaining databases.

• Collaboration: Working with other team members, including programmers and engineers, to identify opportunities for improvement.

• Optimization: Optimizing data infrastructure and performance.

Competencies

• Technical Skills: Proficiency in data analysis tools, statistical software, and programming languages (e.g., SQL, Python, R).

• Analytical Skills: Ability to analyze data, identify patterns, and draw conclusions.

• Communication Skills: Ability to communicate findings clearly and concisely, both verbally and in writing.

• Problem-solving Skills: Ability to identify and resolve data-related problems.

• Data Visualization Skills: Ability to create clear and effective visual representations of data.

• Collaboration Skills: Ability to work effectively with other team members.

The candidates should have attained the following:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.

• Proven experience in data analysis, business intelligence, or related roles.

• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).

• Experience with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus.