To drive data-led decision-making across Credit Direct’s Private Sector Lending vertically by transforming raw operational data into actionable insights that optimize loan performance, improve digital funnel conversion, and accelerate revenue growth through corporate partnerships. The role serves as a critical link between business operations and the organization’s business intelligence infrastructure, proactively surfacing early signals, tracking high-impact performance metrics, and delivering real-time visibility through intuitive dashboards that enable informed and timely leadership decisions.
Job Details
BI Dashboard Development & Maintenance
- Build and maintain operational dashboards tracking daily run rate, rejection rates, approval TAT, NPL trends, and disbursement performance.
- Ensure at least 3 live dashboards are adopted by Q2 2026 with 100% stakeholder uptake.
Digital Funnel Analytics
- Track and analyze end-to-end customer journey metrics in the portal from lead entry to disbursement.
- Identify drop-off points at each funnel stage and surface data-backed recommendations to reduce drop-off by 25% or more by Q4 2026
Lead Generation & Conversion Tracking
- Monitor qualified lead volumes, top-up loan conversions, and settlement loan conversion rates.
- Produce weekly cohort reports and identify high-conversion segments to guide acquisition targeting.
- Target: 15% or more increase in qualified leads
Prequalification & Credit Analytics Support
- Analyze prequalification approval rates by customer segment, channel, and product type.
- Partner with credit and product teams to surface patterns that improve the pre-approval model and increase qualified customer approval rate by 20% or more by Q4 2026
Competitor & Market Intelligence
- Produce regular competitor trend analyses covering rates, product structures, and digital channel performance.
- Feed insights into strategy discussions and corporate partnership evaluations
Corporate Partnership Data Support
- Support tracking and reporting of corporate partnership pipelines.
- Build dashboards that monitor loan volume contribution per partnership, targeting 5 active partnerships contributing 15% or more of new loan volume by Q4 2026.
Stakeholder Reporting & Internal Satisfaction
- Prepare and distribute recurring analytical reports for internal stakeholders.
- Translate data insights into clear narratives that enable non-technical decision-makers to act with confidence.
- Support an 80% or higher internal stakeholder satisfaction score.
Requirements
Education/ Professional
Qualification:
- Bachelor’s degree
- Relevant professional certifications or master’s degree is an added advantage.
Experience
- 2-3 years' experience in data analysis and reporting
Technical:
- SQL (Intermediate) Excel / Google Sheets Power BI / Tableau / Metabase Data Cleaning Funnel & Cohort Analysis
- Python (pandas) Google Looker A/B Testing Basics CRM Data Familiarity Lending Domain Knowledge
- Strong problem-solving and experimentation mindset
Behavioural/Cultural Alignment:
- Curious & Self-Directed
- Detail-Oriented
- Bias to Action
- Clear Communicator
- Comfortable with Ambiguity Collaborative
Gmail
Yahoomail