Junior Data Analyst- Digital Personal Loans

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.

Education/ Professional

Qualification:

• Bachelorsdegree
• Relevantprofessionalcertificationsormasters degreeisanaddedadvantage.

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 AmbiguityCollaborative