Data Analyst At MOGO UGANDA

Data Analyst

Uganda * Full-time

MOGO UGANDA

Data Analysis Total Positions: 01 Location: Uganda Full-time Salary: not mentioned Posted 6 months ago

Location: Kampala, Uganda

Company: Mogo Uganda, part of Eleving Group

Position open to all nationals.

About Us: We are dedicated to fostering upward social mobility in diverse communities by providing credit access to entrepreneurs who are often excluded from traditional banking. Through a combination of asset financing, fintech innovations, AI-based underwriting, and proprietary car portals, we empower local entrepreneurs, such as motorcycle taxi riders, Uber/Bolt drivers, and small business owners, to purchase their own vehicles and obtain loans to expand their businesses.

We are looking for a Data Analyst to help achieve profitable growth in this fast-developing market.

KEY DUTIES AND RESPONSIBILITIES

Support the team in by interpreting data from our CRM and external databases during the implementation of new projects
Help the business understand product and process performance by extracting data and delivering actionable insights
Use data-driven analysis to propose improvements in product setup and operational processes
Build automated dashboards and reports to promote company-wide understanding of key metrics (we use Power BI and Redash.io)
Analyze operational activities and performance, primarily in sales and debt collection
Conduct A/B testing across departments to identify more effective ways to achieve results
Assist the team with technical or data-related challenges

QUALIFICATIONS / SKILLS

Bachelor’s degree in a relevant field such as Statistics, Mathematics, Economics, Computer Science, or Business
Proven experience in data analysis or business analytics, preferably within fintech, lending, or other data-driven industries
Strong analytical and critical thinking skills, with the ability to translate data into strategic insights
Proficiency in SQL (basic level required; intermediate or higher preferred)
Demonstrated interest in data analytics, ideally supported by relevant training, coursework, or certifications (e.g., in SQL, Power BI, or general data analysis)
Self-driven and proactive mindset, with a strong sense of ownership and a problem-solving attitude

HOW TO APPLY

What We Offer:

A multicultural and professional team
A friendly and dynamic workplace
A salary aligned with your skills and experience, with opportunities for performance-based growth

Deadline: 8th May 2026

CLIKC HERE TO APPLY