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Mid-level growth/data role in a metro with common analytics skills increases candidate competition.
Core analytics skills are transferable, but consumer-finance product knowledge adds moderate domain specificity.
Explicit 4–5 years requirement plus mandatory R/Python, SQL and Tableau raises filter strictness.
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Drive data-based problem solving for Growth team focusing on acquisition, engagement, and retention improvements.
Lead analytical projects including user funnel analysis, marketing performance dashboards, and develop predictive models for user behavior.
Collaborate with data engineering to enhance analytical tools and infrastructure; provide actionable insights to influence strategy and marketing optimization.
4-5 years of relevant experience in analytical marketing environments or Banking/NBFC sector.
B.Tech from a Tier-1/Tier-2 institute; MBA is a plus.
Proficiency in R/Python, SQL, Tableau, and advanced Excel (including Pivot Tables).
Work Experience Required: 4-5 years of relevant proven experience.
Experienced in numerical and transactional data analysis within consumer finance or online consumer business contexts.
Capable of translating complex business problems into analytical frameworks with measurable outcomes.
Strong focus on leveraging data to optimize marketing campaigns, user segmentation, and product growth strategies.