BI - Business Intelligence Analyst
AI summary
FairMoney is hiring a Business Intelligence Analyst to drive data-led decision-making across its lending business in Nigeria. The role focuses on turning complex data into actionable insights that improve credit performance, collections, customer experience, and growth in the fintech market. Key responsibilities include dashboarding, credit and risk analytics, collections analytics, product and growth analytics, and supporting regulatory reporting aligned with CBN guidelines.
- Data-driven role supporting lending, credit, and collections decisions
- Real-time dashboards and automated reporting for portfolio performance
- Work with alternative data for credit scoring and risk segmentation
- Support CBN-aligned regulatory and compliance reporting
- Opportunity in Nigeria's fast-growing fintech sector
AI job guide
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AI salary guide
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Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- PreferredPractical evidence in factory, armazem, business intelligenceThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest BI - Business Intelligence Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to FairMoney and the role in Not specified.
- Add concrete examples related to factory, armazem, business intelligence, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- MyJobMag Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this BI - Business Intelligence Analyst role in factory, armazem?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research FairMoney before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
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
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Requirements
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.
Core Skills:
Data analysis & storytelling.
Dashboard development & visualization.
Credit & risk analytics.
Experimentation (A/B testing).
Problem-solving & critical thinking.
Stakeholder communication.
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.
Check how your CV matches this job
Method of Application
- Interested and qualified? Go to
- FairMoney on jobs.workable.com
- to apply
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- Download in different templates.