Business Intelligence Analyst

FairMoney

Business Intelligence Analyst driving data-led decision-making at FairMoney. Responsible for transforming complex data into actionable insights to improve credit performance in Nigeria’s fintech market.

Posted 7/22/2026full-timeLagos • 🇳🇬 NigeriaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing large datasets to derive actionable insights that enhance portfolio performance, with a strong focus on lending metrics and data governance. Proficient in automating reporting processes and collaborating with cross-functional teams to optimize credit scoring models and user journeys.

Highest-signal resume keywords

SQL ProficiencyData Analytics ExperienceBusiness Intelligence ToolsLending Metrics UnderstandingPython or R Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisCohort AnalysisSegmentation ModelingAutomated ReportingCredit Scoring Models

Soft Skills

CommunicationCollaborationProblem-Solving

Tools & Technologies

Power BITableauLookerETL Processes

Industry Keywords

FintechBankingLendingData GovernanceCentral Bank of Nigeria Guidelines

Tech Stack

Tools & technologies

ETLPythonSQLTableau

About the role

Key responsibilities & impact

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.
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.
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.
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.
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.
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.
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

What you’ll need

5+ 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.

Benefits

Comp & perks

Private Health Insurance
Pension Plan
Training & Development
Performance Bonus