Data Analyst

Job Description

Our client is seeking a highly analytical and detail-oriented data analyst to transform complex data into actionable insights that drive strategy and decision-making. The ideal candidate will collect, process, analyze, and visualize data to support the company’s mission of empowering African entrepreneurs. The role requires a strong data transformation, reporting, and presentation background to enhance operational efficiency, measure impact, and support strategic initiatives.

•     Data Analysis & Visualization: Proficiency in tools like Power BI, Tableau, or Excel to transform raw data into actionable insights through dashboards and reports.
•     SQL & Database Management: Strong ability to query, manipulate, and extract data from relational databases (MySQL).
•     Statistical & Analytical Tools: Experience with Power Query, Python (Pandas, NumPy) for data cleaning and analysis.
•     Data Cleaning & Validation: Expertise in ensuring data accuracy, handling missing values, and implementing quality checks. Knowledge of automation tools (e.g., Power Automate)

•     Stakeholder Communication: Ability to translate complex data findings into clear, strategic recommendations for non-technical teams.
•     Problem-Solving: A structured approach to identifying trends, anomalies, and opportunities from data.
•     Process Improvement: Experience documenting workflows and optimizing data collection/reporting processes.
•     Collaboration: Comfort working cross-functionally with M&E, Operations, and Leadership to align data with business goals.

• Collect, clean, and preprocess large datasets from multiple sources, including program applications, surveys, and operational data.
• Ensure data integrity, accuracy, and security across all platforms.
• Develop automated data pipelines and processes to improve efficiency.

• Analyze complex datasets to uncover trends, correlations, and key performance indicators (KPIs) that inform business strategies.
• Use statistical methods and predictive modeling to support decision-making.
• Perform impact assessments on programs, tracking entrepreneur progress and ecosystem trends.

• Design and develop dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Excel) to communicate insights clearly across all units and functions in the Foundation
• Prepare findings for presentation to senior management, stakeholders, and external partners in an engaging and easy-to-understand manner.
• Develop periodic reports on program performance, funding impact, and operational efficiencies.

• Provide data-driven recommendations to enhance  programs and policies.
• Collaborate with internal teams (Operations, Communications, Partnerships) to align data insights with organizational objectives.
• Monitor industry trends and best practices in data analytics to continuously improve data strategy.