Career Opportunities: SENIOR MANAGER -DATA AND ANALYTICS (76568)

Requisition ID 76568 - Posted 

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Job Purpose/Position Summary

 Data Engineering & Analysis
• Develop, optimize, and maintain scalable data pipelines on Databricks.
• Perform complex data transformation and analysis using PySpark, Python, and SQL.
• Work with large-scale structured and unstructured datasets to extract meaningful insights.
• Automate data workflows and improve data quality and reliability.
b. Campaign Analytics & Execution
• Collaborate with business and marketing teams to understand campaign objectives and data requirements.
• Design and execute customer segmentation models for campaigns such as cross-sell, upsell, EMI conversions, collections strategies, lead scoring, etc.
• Analyze campaign performance, identify actionable insights, and recommend optimization strategies.
• Support end-to-end campaign execution using analytics-driven targeting logic.
c. Business Insights & AI Adoption
• Identify opportunities to drive business impact through AI/ML models and data-driven decisioning.
• Translate insights into actionable strategies to improve customer engagement and business outcomes.
• Work with the AI/ML team to operationalize models into campaigns and business processes.
• Contribute to the roadmap for AI adoption across business units.
d. Collaboration & Stakeholder Management
• Work closely with product, risk, marketing, and operations teams to implement campaign strategies.
• Communicate findings and insights clearly to both technical and non-technical stakeholders.
• Ensure adherence to data governance, security, and compliance standards relevant to NBFC operations.
• Knowledge of Gen AI tools"""

Job Responsibilities

 Data Engineering & Analysis
• Develop, optimize, and maintain scalable data pipelines on Databricks.
• Perform complex data transformation and analysis using PySpark, Python, and SQL.
• Work with large-scale structured and unstructured datasets to extract meaningful insights.
• Automate data workflows and improve data quality and reliability.
b. Campaign Analytics & Execution
• Collaborate with business and marketing teams to understand campaign objectives and data requirements.
• Design and execute customer segmentation models for campaigns such as cross-sell, upsell, EMI conversions, collections strategies, lead scoring, etc.
• Analyze campaign performance, identify actionable insights, and recommend optimization strategies.
• Support end-to-end campaign execution using analytics-driven targeting logic.
c. Business Insights & AI Adoption
• Identify opportunities to drive business impact through AI/ML models and data-driven decisioning.
• Translate insights into actionable strategies to improve customer engagement and business outcomes.
• Work with the AI/ML team to operationalize models into campaigns and business processes.
• Contribute to the roadmap for AI adoption across business units.
d. Collaboration & Stakeholder Management
• Work closely with product, risk, marketing, and operations teams to implement campaign strategies.
• Communicate findings and insights clearly to both technical and non-technical stakeholders.
• Ensure adherence to data governance, security, and compliance standards relevant to NBFC operations.
• Knowledge of Gen AI tools"""

Skills

Education

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