Senior Data Analyst

Required : 4+ years of Experience.

Location : Mumbai

Educational Qualifications: Bachelor's degree in mathematics, engineering, statistics or related fields.

Key Responsibilities:
Own end-to-end analytics using SQL and Python affecting customer experience (CX), communications, loan repayments, product journeys affecting customer experience and seller experience
Translate raw, complex datasets into transparent insights, narratives, and actionable recommendations for Product, Operations, and CX teams.
Partner with product and collections team to redesign repayment flows, customer experience flows and support in improving collection efficiencies by optimizing communication across various channels
Drive root cause analysis for various incidences and suggest corrective and preventive actions to avoid such incidents in the future.




Measure effectiveness of proactive communications (SMS, WhatsApp, Email, IVR)
Run pre/post and A/B analysis on Message content, channel selection, timing and frequency
Identify communication gaps that result in customer confusion, complaints, or repeat calls.

Technical Skills:

SQL (Advanced)
Write complex, optimized SQL queries including nested queries, CTEs, window functions, and multi-stage aggregations.
Perform cohort, funnel, and trend analysis on billion-row datasets, optimizing performance.

Python for Analytics
Use Python (Pandas, NumPy) for exploratory analysis, feature creation, and deep dives.
Automate recurring analytical workflows and reporting pipelines.

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