5–7 years in business analytics, growth analytics or data science — preferably in consumer internet, fintech, e- commerce or financial services. Experience with large-scale transactional and behavioural datasets in a high-velocity consumer business.
Business Insights & Growth.
Drive data-led growth across the acquisition, retention, churn, revenue and GMV lifecycle.
Own deep-dive analytics to identify key drivers and opportunities for acquisition, engagement, retention and churn reduction.
Drive Revenue and GMV growth in line with the Annual Operating Plan (AOP) through actionable insights and growth recommendations.
Demonstrated ownership of a product vertical or growth charter with measurable business impact.
SQL — advanced: complex joins, window functions, CTEs and query optimization on large distributed datasets (Trino/Presto/Hive/Redshift/BigQuery).
Python — pandas, numpy, statistical testing and automation; modelling libraries a plus.
Advanced Excel — pivots, complex formulas & macros.
Experience: Mid-level · 5–7 years · Job type: Full-time
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