
Chief Data Strategist
1 day ago
Unlock Operational Efficiency
About the RoleWe are seeking a seasoned professional to spearhead data-driven initiatives, focusing on operations-heavy startups in fintech and related domains.
The ideal candidate will possess 3-8 years of experience in data roles, with expertise in SQL, Python, Power BI/Tableau, and statistical modeling for operational decision-making.
- Design end-to-end data pipelines for operational data from diverse sources
- Develop advanced propensity models (e.g., payment likelihood, risk segmentation) to solve core business problems
- Create real-time dashboards 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
We require candidates with a degree in Statistics, CS, Economics, or a related quantitative field. Proven propensity modeling experience is mandatory for senior candidates.
Candidates should be adaptable, proactive, and comfortable with ambiguity, having a startup-ready mindset.
Familiarity with cloud platforms (AWS/Azure/GCP) and Big Data tools (Spark/Hadoop) is a plus.
BenefitsThis role offers ownership culture, operational impact, growth environment, flexible productivity, and opportunities to build the blueprint for democratizing credit.
We seek builders who thrive in operations trenches, scaling data systems at startups where every % efficiency gain mattered.
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