BI - Business Intelligence Analyst

FairMoney is a pioneering mobile banking institution specializing in extending credit to emerging markets. Established in 2017, the company currently operates primarily within Nigeria, and it has secured nearly €50 million in funding from renowned global investors, including Tiger Global, DST, and Flourish Ventures. FairMoney maintains a strong international presence, with offices in several countries, including France, Nigeria, Germany, Latvia, the UK, Türkiye, and India.

In alignment with its vision, FairMoney is actively constructing the foremost mobile banking platform and point-of-sale (POS) solution tailored for emerging markets. The journey began with the introduction of a digital microcredit application exclusively available on Android and iOS devices. Today, FairMoney has significantly expanded its range of services, encompassing a comprehensive suite of financial products, such as current accounts, savings accounts, debit cards, and state-of-the-art POS solutions designed to meet the needs of both merchants and agents.

To gain deeper insights into FairMoney's pivotal role in reshaping Africa's financial landscape, we invite you to watch this informative video.

Role Overview
The Business Intelligence Analyst will drive data-led decision-making across FairMoney’s lending business. This role is responsible for transforming complex data into actionable insights that improve credit performance, optimize collections, enhance customer experience, and support rapid, profitable growth in Nigeria’s dynamic fintech market.

Key Responsibilities
1. Data Analysis & Insight Generation

• Analyze large datasets across the lending lifecycle (acquisition, underwriting, disbursement, repayment, collections, recovery).
• Identify trends, risks, and opportunities to improve portfolio performance.
• Deliver actionable insights to Credit, Operations, Product, and Leadership teams.

2. Dashboarding & Reporting

• Build and maintain real-time dashboards (e.g., PAR, NPLs, recovery rates, disbursement volumes).
• Automate recurring reports for daily, weekly, and monthly performance tracking.
• Ensure data accuracy, consistency, and accessibility across teams.

3. Credit & Risk Analytics

• Support development and monitoring of credit scoring models using alternative data (telco, behavioral, banking, device data).
• Track portfolio health metrics (PAR 30/90, roll rates, default rates).
• Conduct cohort analysis to evaluate loan performance and risk segmentation.

4. Collections & Recovery Analytics

• Analyze repayment behavior and optimize collections strategies.
• Build segmentation models for early-stage, late-stage, and high-risk borrowers.

• Support skip tracing and recovery optimization using data insights, including escalation effectiveness.

5. Product & Growth Analytics

• Partner with Product teams to track user journeys, conversion funnels, and drop-off points.
• Design and evaluate A/B tests to improve acquisition, engagement, and repayment rates.
• Provide insights to optimize pricing, loan offers, and customer targeting.

6. Process Automation & Data Infrastructure

• Work with Data Engineering to improve data pipelines, ETL processes, and warehouse structures.
• Automate manual reporting processes using SQL, Python, or BI tools.
• Ensure data governance and best practices in analytics.

7. Regulatory & Compliance Reporting

• Support reporting requirements aligned with Central Bank of Nigeria (CBN) guidelines.
• Ensure integrity of financial and risk data used for audits and regulatory submissions.

Requirements:
• 3–6+ years of experience in Business Intelligence, Data Analytics, or similar role (preferably in fintech, banking, or lending).

• Strong proficiency in SQL (mandatory) and experience with Python or R (preferred).
• Experience with BI tools (e.g., Power BI, Tableau, Looker).
• Strong understanding of lending metrics (PAR, NPL, roll rates, recovery rates).
• Ability to translate data into clear business insights and recommendations.
• Experience working with large, complex datasets.

Core Skills
• Data analysis & storytelling.
• Dashboard development & visualization.
• Credit & risk analytics.
• Experimentation (A/B testing).
• Problem-solving & critical thinking.
• Stakeholder communication.

KPIs / Success Metrics

• Accuracy and timeliness of reporting.
• Improvement in portfolio performance (PAR reduction, recovery uplift).
• Increased collections efficiency driven by insights.
• Faster decision-making through real-time dashboards.
• Measurable impact of data-driven experiments.

What Success Looks Like (First 6 Months)

• Fully functional dashboards tracking lending and collections performance.
• Clear insights that reduce defaults and improve recovery rates.
• Automated reporting processes saving operational time.
• Strong collaboration with Credit, Operations, and Product teams.
• Data-driven recommendations influencing key business decisions.

Benefits:
• Private Health Insurance
• Pension Plan
• Training & Development
• Performance Bonus

Recruitment Process

• A screening call with the Recruiter for 30 minutes.
• Technical interview with the Hiring Manager ~30 minutes.