Summary
Date Posted: Thursday, February 20 2025, Base Salary: Not Disclosed

JOB DETAILS:
About Numida:
Numida uses proprietary credit models and tech-enabled underwriting processes to provide unsecured working capital loans to African micro and small businesses. Instead of borrowing from informal lenders or family, business owners download the Numida app, apply in minutes, and receive capital within a day. There’s 20 million of these businesses in Africa representing a $5 billion market opportunity and traditional microfinance is failing them. We have figured out how to score and disburse unsecured loans to cash-based businesses that have no digital transaction history, with excellent collection rates. Within 10 years, we anticipate enabling at least 1 million small business owners on the continent to achieve their dreams. We are Uganda’s first YC-backed startup and are also backed by world class investors such as Serena Ventures, MFS Africa, Breega, and 4Di Capital.

Role Summary:
As a Data Analyst, you'll wield cutting-edge analytics and AI to unlock insights that empower small businesses and underserved communities. Data is core to how we work at Numida and Data Analysts are our central nervous system.
This role will require you to be proactive, think independently and use your communication skills to change people’s minds. Analysts are expected to go out of their way to understand the business, our customers and our product/growth strategies and vision.
This is not just another role—it’s a chance to have an outlandish level of impact on financial inclusion and economic growth in East Africa and beyond. If you're an A-player driven by the thrill of shaping the future, this is a great opportunity to be at the forefront of a mission that blends innovative tech with real-world social change.
We have offices in Kampala and Nairobi, with a product, engineering and data team distributed between Uganda, Kenya, South Africa and Canada. We’re launching additional markets and products over the next 2 years as we work to change 1 million lives across the continent.

Responsibilities:
Data Analysis & Reporting
• Analyze complex data sets to identify trends, patterns, and insights. Analysis that doesn’t change behaviours or strategy is a luxury we don’t have - you will be responsible for ensuring you are working on only the most impactful work.
• Contribute to and maintain our ELT and self-serve tools. Currently we’re using dbt and Lightdash.
• Improve our data structure/organization to ensure we have the foundational information needed to answer key business questions (wrangle our data).
• Utilize statistical methods and machine learning techniques to interpret data and generate actionable business insights.
• Collaborate with the AI/ML team to incorporate predictive models and AI-driven analytics into business processes.
• We have a pathological drive to solve analytics requirements once and only once - you will be responsible for making sure you don’t have to waste time answering the same request again and again

AI & ML Initiatives
• Assist in the development, testing, and deployment of AI models and algorithms.
• Monitor and evaluate AI model performance, providing recommendations for optimization. You will be responsible for keeping the models laser focused on business impact and outcomes, not arbitrary model metrics.
• ○ Stay informed on emerging AI technologies and methodologies, and contribute to strategic discussions on their implementation.

Collaboration & Communication
• Work closely with cross-functional teams to understand business requirements and translate them into data-driven solutions. This will include teams across Product, Finance, Marketing, Credit and Growth - it’s a truly cross-functional role
• ○ Present analysis and insights to stakeholders, including management, to make recommendations and drive strategic decision-making.

Profile:
• At least 3 years of working experience as a data analyst or business data analyst, with a proven track record of contributing to business strategy and strong decision making
• High proficiency in SQL and experience with at least one programming language (e.g. Python, R)
• Hands-on experience with data visualization tools (e.g., Redash, Lightdash, or similar).
• Familiarity with machine learning libraries and frameworks (e.g., scikit-learn, mlflow, TensorFlow, PyTorch) is a plus.
• Experience with ETL/ELT workflows and implementing new data sources. Experience with dbt is a plus.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent communication skills, with the ability to explain complex data and AI concepts to non-technical audiences.
• Attention to detail and a passion for data accuracy and quality.


Education Requirement: No Requirements

Work Hours: 8

Experience in Months: 36

Level of Education:

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