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Metro Bangalore, common growth-analytics skillset, 4–7 years mid-level and broad requirements increase competition.
Role requires B2C growth analytics experience (CAC/LTV, retention), making background fit domain-sensitive.
Explicit 4–7 years requirement plus mandatory growth analytics, SQL and Python increases shortlisting strictness.
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Own the analytics function for Headout's growth teams focusing on acquisition and retention strategies.
Build forecasting systems, dynamic pricing recommendations, and inventory health metrics to enable proactive decision-making.
Mentor analysts and partner strategically with growth leadership to influence resource allocation and market prioritization.
4-7 years of experience in data analytics, with significant focus on growth, marketing, or product analytics in consumer internet or B2C environments.
Advanced SQL skills and strong working knowledge of Python for analysis and automation.
Proven experience leading analytics projects end-to-end including scoping, execution, storytelling, and adoption.
Deep understanding of growth metrics such as CAC/LTV, retention curves, funnel conversion, and channel efficiency.
Experienced in building scalable analytics frameworks that operate across multiple markets and adapt to local nuances.
Capable of translating complex data insights into strategic growth initiatives and partnering at leadership level.
Skilled in fostering analytical rigor and adoption to ensure trust and impact of data-driven decisions.