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Mid-level role, metro location, and broad required skillset increase applicant competition.
Requires marketing analytics and banking domain knowledge, limiting cross-industry transferability.
Requires advanced SQL, Python/SAS, marketing analytics and banking domain expertise plus leadership, enforcing strict filters.
Collect, clean, and analyze marketing data from multiple sources to generate actionable customer insights and campaign performance metrics.
Lead statistical analysis, including A/B testing and machine learning, to optimize marketing strategies and provide data-driven recommendations to stakeholders.
Collaborate cross-functionally with Marketing, Coverage, Data Product, and MarTech teams to enhance customer communications and commercial outcomes.
Degree in Mathematics, Computer Science, Engineering, Data Science, or related quantitative discipline.
Strong hands-on experience in customer analytics, campaign analytics, marketing insights, or commercial analytics within banking, financial services, or a data-driven environment.
Advanced proficiency in SQL and at least one analytical programming language (Python or SAS).
Job location: Gurugram. Work Experience Required: Not explicitly mentioned in the JD.
Demonstrated ability to translate complex business problems into analytical solutions using statistical and machine learning techniques.
Experience working in Marketing Technology environments such as campaign management, CRM, Salesforce Marketing Cloud, or Adobe tools is advantageous.
Skilled in stakeholder management and communicating complex data insights effectively using visualization tools like Tableau or Power BI.