Located in the most populous country in the most diverse continent, we have come to realise that conventional financial institutions are handicapped in creating sustainable value for the present generation and the next.
Job Summary
- Own the analytics backbone for Personal Banking (Digital Savings & USSD), Business Banking – Agent (SSA/SA & POS/MPOS), Business Banking- Micro & Small, & Business Banking- Medium & Large. Deliver timely, accurate, and actionable insights that grow users and agents, improve POS uptime, optimize campaigns, and reduce risk. Uphold data privacy, CBN/NDPR compliance, and strong governance across all datasets.
Key Responsibilities
Personal Banking (Digital Savings & USSD)
- Track daily/weekly/monthly app & USSD usage (MTU, DUM, registrations, activations, deposits/user, churn).
- Segment customer behavior by LGA, cohort, and product usage; identify drop-offs and reactivation opportunities.
- Measure campaign impact (CAC, LTV, ROI) by channel; recommend budget shifts based on performance.
- Monitor VAS (airtime, data, bills) and drive cross-sell/up-sell insights and experiments.
Business Banking -Agent (SSA/SA & POS Network)
- Maintain LGA-level agent allocation and activation dashboards; track device allocation vs. active usage.
- Analyze agent performance (Txn volume/value, deposits, retention), flag outliers, and recommend actions.
- Publish weekly network health (uptime %, repair TAT, inactive devices) and follow through on fixes.
Business Banking- Medium & Large
- Track and analyze Corporate Internet Banking usage (MTU, DUM, registrations, activations, deposits/user, churn).
- Segment customers by LGA, industry, and usage patterns; identify drop-offs and reactivation triggers.
- Monitor VAS adoption and develop cross-sell/up-sell strategies.
Cross-Business & Strategic Analytics
- Partner with Relationship Managers, Product, and Marketing to turn insights into action.
- Maintain integrated Executive Dashboard for MD & Board blending Personal and Business Banking KPIs.
- Run daily/weekly/monthly reporting calendar; manage distribution lists and archive for auditability.
- Support risk monitoring: detect anomalies, reversals, and KYC exceptions; partner with Compliance on actions.
- Own data quality processes (QA checks, reconciliations) and data dictionaries across reporting assets.
- Drive automation to reduce manual effort (SQL/Python jobs, scheduled extracts, parameterized dashboards).
Required Skills & Experience
- Bachelor’s degree in Statistics, Economics, Data Science, Computer Science, or related discipline
- 3–4 years in analytics within fintech/banking/telco; strong commercial orientation
- Advanced SQL and Power BI; proficient Excel; Python for automation and deeper analysis
- Fluency with fintech KPIs (CAC, LTV, ARPU, churn, MTU/DUM), cohort & funnel analysis
- Experience with app databases, USSD logs, POS/MPOS feeds, CRM/marketing platforms
- Strong data hygiene (QA, reconciliation), documentation, and stakeholder communication
Method of Application
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