Job description
About the role
Join the Cross-Sell Analytics team in a full-time role focused on customer portfolio analysis, cross-selling strategies and risk insights. Work with Business, Marketing, Risk, Credit and Product teams to improve customer lifetime value while maintaining portfolio quality.
Key responsibilities
- Monitor portfolio health through diagnostic analytics, automated dashboards and early-warning indicators.
- Analyse transactional, demographic and behavioural data to identify cross-sell and up-sell opportunities; build predictive segmentation and propensity models.
- Evaluate multi-channel campaigns, conversion funnels and marketing ROI; design personalised customer journeys and investigate drop-offs, sourcing quality and response rates.
- Analyse borrower payments, delinquency, bounce rates and slippage; develop early-, mid- and late-stage collections segmentation, pre-delinquency alerts and recovery insights.
- Support data-driven lending decisions, streamline reporting, automate data extraction and improve analytical data hygiene.
Requirements
- 2–4 years of hands-on analytics experience, preferably in banking, financial services and insurance (BFSI), retail lending, non-banking financial companies (NBFCs) or fintech.
- Practical experience in cross-sell analytics, customer lifecycle analytics or credit risk analytics.
- Advanced SQL for extraction, manipulation and complex queries; strong Python or R coding for statistical analysis and predictive modelling.
- Strong Microsoft Excel skills for data modelling and executive summaries.
- Familiarity with Power BI or Tableau is an added advantage.
- Business acumen, structured problem-solving and clear written and spoken communication with non-technical stakeholders.
- Self-starter mindset and ability to manage projects end to end.
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