FairMoney Business Intelligence Analyst Recruitment 2026

visatides April 25, 2026

0 2 minutes read

FairMoney Business Intelligence Analyst Recruitment 2026 Data is the heart of every digital bank today and FairMoney is looking for a smart Business Intelligence Analyst to help them grow in Nigeria. This role is all about turning complex numbers into real actions that help the bank lend money safely and efficiently. You will be responsible for analyzing data across the entire loan lifecycle from the moment a customer applies until they finish paying back. If you are someone who loves working with real time dashboards and credit scoring models then this opening is for you.

📖 Contents hide

1 1. Key Responsibilities and Daily Tasks

1.1 2. Requirements and Skills For This Role

1.2 3. Success Metrics and Recruitment Process

1.2.1 4. Official Application Link

2 FairMoney Business Intelligence Analyst Recruitment 2026

1. Key Responsibilities and Daily Tasks

Joining the FairMoney data team means you will be the brain behind the decisions the bank makes every day. You will work closely with the credit and product teams to ensure that the business stays profitable and customers remain happy.

You will analyze large datasets to find trends and opportunities that improve the loan portfolio.
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Your work involves building and maintaining real time dashboards to track recovery rates and loan volumes.
You will automate daily and weekly reports to ensure everyone has access to accurate data.
The role requires you to support the development of credit scoring models using telco and banking data.
You will conduct cohort analysis to see how different groups of borrowers are performing.
Part of your job is to analyze repayment behavior to help the bank improve its collections strategy.
You will partner with product managers to track user journeys and design experiments for better growth.
Your work includes collaborating with engineers to improve data pipelines and warehouse structures.

2. Requirements and Skills For This Role

The hiring managers are looking for a professional who has spent some years in the data world and understands the fintech market. You must be someone who can handle complex data infrastructure and provide clear insights to the leadership team.

You should possess at least three to six years of experience in business intelligence or data analytics.
Having a background in the banking or lending sector is a very big advantage for this position.
You must be very proficient in using SQL and Python to handle and automate data processes.
The ability to build and manage automated reporting systems using modern BI tools is required.
You should have a deep understanding of credit risk and how to segment borrowers effectively.
Strong communication skills are needed to explain data findings to people who are not technical.
You must be detail oriented and committed to ensuring that every report is accurate and timely.

3. Success Metrics and Recruitment Process

The bank has a very clear way of measuring how well you are doing in your new role. They want to see measurable impacts on how the company handles data and makes decisions. Your success will be seen through the accuracy of your reports and the improvement in loan recovery rates driven by your insights.

The hiring process is very straightforward to help you get started quickly.

First you will have a thirty minute screening call with a recruiter to talk about your background.
After that you will have a thirty minute technical interview with the hiring manager to test your skills.