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Data Analytics Professional
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The role of the data analytics expert involves creating end-to-end pipelines for operational data from diverse sources.
- Develop propensity models to address core business challenges, such as payment likelihood and risk segmentation.
- Create interactive dashboards using Power BI or Tableau for real-time operational performance tracking.
- Analyze statistical data to optimize field force efficiency and collection strategies.
- Leverage A/B testing to evaluate 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 of experience in data roles at operations-heavy startups (fintech, logistics, e-commerce, or similar).
- Proven experience in propensity modeling for senior candidates (4-8 yrs).
- Degree in Statistics, CS, Economics, or a related quantitative field.
- Expertise in SQL, Python, Power BI, and Tableau.
- Statistical modeling for operational decision-making.
- A startup-ready mindset, adaptable, proactive, and comfortable with ambiguity.
