Marketing Analytics

Role & responsibilities :

• Execute against the customer analytics plan set by leadership, translating customer
• insights into actionable recommendations for acquisition, retention, and personalization.
• Collaborate with stakeholders across Marketing, Product, Digital, and CRM to align analytics output with business priorities.
• Present findings and recommendations in internal review forums.
• Promote analytics adoption within the assigned business unit.
• Apply statistical and machine learning techniques (logistic regression, decision trees, ensemble methods, neural networks) to business problems.
• Build models for customer segmentation, churn prediction, cross-sell/up-sell targeting, CLTV, and personalization.
• Analyze campaign effectiveness across channels using attribution and uplift analysis.
• Build segmentation, propensity, offer-optimization, and channel-mix frameworks.
• Run A/B and multivariate tests to improve conversion and engagement.
• Support real-time personalization using customer data platforms (CDPs).
• Provide insights on CAC, retention drivers, and loyalty metrics.
• Build and maintain dashboards and reporting frameworks for customer insights and marketing performance.

Preferred candidate profile

• Bachelor's degree in Data Science, Statistics, Economics, or related field (Master's a plus).
• 78 years of experience in analytics, with meaningful exposure to customer and marketing analytics.
• Strong command of SQL, Python/R, and data visualization tools (Power BI, Tableau).
• Hands-on experience building and deploying predictive models and marketing analytics frameworks.
• Strong communication skills, with the ability to work effectively with cross-functional stakeholders.
• Domain expertise in BFSI, retail, NBFC or digital consumer businesses.
• Familiarity with CDPs, CRM platforms, and marketing automation tools.
• Exposure to cloud data platforms (AWS, Azure, GCP) and real-time analytics environments.
• Interview Process is Face to Face.