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BI - Business Intelligence Analyst (Hybrid)

Fairmoney Microfinance Bank Nigeria Hybrid Posted 2026-09-30
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StateNigerCityNot specifiedContractHybridPosted2026-09-30Close dateNot specifiedExperienceNot specifiedSourceJobzilla Nigeria
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AI summary

Fairmoney Microfinance Bank is hiring a Business Intelligence Analyst on a hybrid basis in Nigeria. The role focuses on transforming complex data into actionable insights to improve credit performance, optimize collections, and support growth in Nigeria's fintech market. Responsibilities include data analysis, dashboarding, credit risk analytics, collections optimization, and A/B testing across the lending lifecycle.

  • Hybrid work model based in Nigeria
  • Focus on lending business analytics and credit performance
  • Work with real-time dashboards and portfolio health metrics
  • Support CBN regulatory and compliance reporting requirements
  • Opportunity to work with alternative data for credit scoring models

AI job guide

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AI salary guide

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Not enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.

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, financeThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
  • UnclearComfort with the Hybrid contract termsConfirm hours, duration, probation and benefits at the original source.

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 (Hybrid) evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to Fairmoney Microfinance Bank and the role in Not specified.
  • Add concrete examples related to factory, armazem, finance, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from Jobzilla 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

  • Jobzilla 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 (Hybrid) 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 Microfinance Bank 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

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.

The Business Intelligence Analyst will drive data-led decision-making across FairMoney’s lending business.

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:
  • Automate recurring reports for daily, weekly, and monthly performance tracking.
  • Build and maintain real-time dashboards (e.g., PAR, NPLs, recovery rates, disbursement volumes).
  • Ensure data accuracy, consistency, and accessibility across teams.
  • Credit & Risk Analytics:
  • Conduct cohort analysis to evaluate loan performance and risk segmentation.
  • Track portfolio health metrics (PAR 30/90, roll rates, default rates).
  • Support development and monitoring of credit scoring models using alternative data (telco, behavioral, banking, device data).
  • 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:
  • Design and evaluate A/B tests to improve acquisition, engagement, and repayment rates.
  • Partner with Product teams to track user journeys, conversion funnels, and drop-off points.
  • Provide insights to optimize pricing, loan offers, and customer targeting.
  • Process Automation & Data Infrastructure:
  • Ensure data governance and best practices in analytics.
  • Automate manual reporting processes using SQL, Python, or BI tools.
  • Work with Data Engineering to improve data pipelines, ETL processes, and warehouse structures.
  • 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
  • Faster decision-making through real-time dashboards.
  • Improvement in portfolio performance (PAR reduction, recovery uplift).
  • Accuracy and timeliness of reporting.
  • Increased collections efficiency driven by insights.
  • Measurable impact of data-driven experiments.

Requirements

  • Ability to translate data into clear business insights and recommendations.
  • Experience with BI tools (e.g., Power BI, Tableau, Looker).
  • Strong proficiency in SQL (mandatory) and experience with Python or R (preferred).
  • Experience working with large, complex datasets.
  • 5+ years of experience in Business Intelligence, Data Analytics, or similar role (preferably in fintech, banking, or lending).
  • Strong understanding of lending metrics (PAR, NPL, roll rates, recovery rates).
  • Core Skills:
  • Data analysis & storytelling.
  • Stakeholder communication.
  • Dashboard development & visualization.
  • Problem-solving & critical thinking.
  • Credit & risk analytics.
  • Experimentation (A/B testing).
  • What Success Looks Like (First 6 Months):
  • Strong collaboration with Credit, Operations, and Product teams.
  • Automated reporting processes saving operational time.
  • Clear insights that reduce defaults and improve recovery rates.
  • Data-driven recommendations influencing key business decisions.
  • Fully functional dashboards tracking lending and collections performance.
  • Benefits
  • Performance Bonus.
  • Training & Development
  • Private Health Insurance
  • Pension Plan
  • How to Apply
  • Interested and qualified candidates should:
  • Click here to apply online
  • Recruitment Process
  • A screening call with the Recruiter for 30 minutes.
  • Technical interview with the Hiring Manager for 45 minutes.
  • View all Jobs in Nigeria
Source and provenanceSource: Jobzilla Nigeria. Last checked: 2026-09-30.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.