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Tier-1 brand, mid-level generalist role in Gurgaon with common skills increases competition.
Core analytics skills are transferable, but financial/credit-card experience preference raises domain specificity.
Explicit 3–5 years, mandatory Python/PySpark/SQL and financial industry experience make screening strict.
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Collect and analyze operational and cross-functional data to evaluate past business performance and identify patterns to support strategic decision making.
Conduct exploratory, confirmatory, and qualitative data analyses to derive consumer behavior insights for targeting and segmentation strategies.
Collaborate with business partners to develop, implement, and refine decision strategies while adhering to regulatory compliance and risk considerations.
3-5 years of relevant experience, preferably in a quantitative field or Financial/Credit Card industry.
Proficiency in Python, Pyspark, and SQL; Tableau experience is beneficial but not mandatory.
Masters/University degree or equivalent experience.
Work Experience Required: 3-5 years relevant experience.
Experience working in cross-functional, matrixed environments with a focus on business analytics and data-driven decision making.
Strong analytical skills with hands-on expertise in modern data tools and programming languages like Python and SQL.
Demonstrated ability to translate complex data into actionable business insights communicated effectively to senior leadership and stakeholders.