
Chief Data Strategist
1 day ago
We are seeking a Data Analyst to join our team. As a key member of our organization, you will be responsible for designing and implementing data pipelines, developing advanced statistical models, and creating real-time dashboards to track operational performance.
- Key Responsibilities:
- Design end-to-end data pipelines for operational data from diverse sources.
- Develop advanced propensity models to solve core business problems.
- Create real-time dashboards (Power BI/Tableau) for operational performance tracking.
- Perform statistical analysis to optimize field force efficiency and collection strategies.
- Lead A/B testing of operational interventions and repayment solutions.
- Ensure data integrity across high-volume transactional systems.
- Mentor junior team members on operational analytics best practices.
Requirements:
- 3-8 years in Data roles at operations-heavy startups.
- Proven experience in data modeling and statistical analysis.
- Degree in Statistics, Computer Science, Economics, or related quantitative field.
- Expertise in:
- SQL + Python (Pandas, NumPy, Scikit-learn).
- Power BI/Tableau.
- Statistical modeling for operational decision-making.
- Startup-ready mindset: Adaptable, proactive, and comfortable with ambiguity.
Preferred Qualifications:
- Built data solutions for field operations or high-frequency workflows.
- Hands-on propensity modeling for customer behavior prediction.
- Cloud platforms + Big Data tools.
- Fintech/financial services background.
- Experience with CRM/operational BI platforms.
About the Role:
- Ownership culture: Drive analytics for India's next-gen recovery infrastructure.
- Operational impact: Your models directly optimize field force actions.
- Growth environment: Lean startup where you'll shape data strategy.
- Flexible productivity: Work when you're most effective.
- Build the blueprint: Pioneer solutions for democratizing credit.
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