Manager Amazon Analytics

Key Responsibilities

• Lead end-to-end analytics initiatives, from problem definition to insight generation and recommendation delivery.
• Perform advanced analytics on large, complex datasets to identify trends, patterns, and business opportunities.
• Design and execute data extraction and aggregation processes using SQL and SAS across multiple data sources.
• Develop and maintain dashboards, reports, and visualizations using Tableau to support leadership and business teams.
• Drive analytics use cases related to credit cards, consumer credit, and risk analytics, including portfolio monitoring, performance tracking, and customer behavior analysis.
• Collaborate with product, risk, finance, and business teams to align analytics outcomes with organizational goals.
• Ensure data accuracy, consistency, and governance across all analytical outputs.
• Translate analytical findings into clear, concise insights and present them to senior stakeholders.
• Mentor and guide analysts, conducting reviews and ensuring high-quality analytical standards.
• Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery.
• 2–8 years of experience in analytics, business intelligence, or data analytics roles.
• Strong hands-on expertise in SQL for data extraction, transformation, and aggregation.
• Proficiency in SAS for advanced analytics, modeling, and statistical analysis.
• Experience with Tableau or similar BI tools for data visualization and dashboarding.
• Solid understanding of credit card analytics, consumer credit, or lending-related data.
• Strong foundation in advanced analytics, including segmentation, trend analysis, and performance metrics.
• Ability to work with large, structured datasets and deliver insights at scale.
• Excellent problem-solving skills with strong attention to detail.
• Strong communication skills with the ability to explain complex analyses to non-technical stakeholders.

Required Skills & Qualifications

Preferred Qualifications

• Experience working in financial services, fintech, banking, or credit-focused domains.
• Exposure to stakeholder management in fast-paced, data-driven environments.
• Prior experience leading or mentoring junior analysts.

Qualifications

• Key Responsibilities
• Lead end-to-end analytics initiatives, from problem definition to insight generation and recommendation delivery.
• Perform advanced analytics on large, complex datasets to identify trends, patterns, and business opportunities.
• Design and execute data extraction and aggregation processes using SQL and SAS across multiple data sources.
• Develop and maintain dashboards, reports, and visualizations using Tableau to support leadership and business teams.
• Drive analytics use cases related to credit cards, consumer credit, and risk analytics, including portfolio monitoring, performance tracking, and customer behavior analysis.
• Collaborate with product, risk, finance, and business teams to align analytics outcomes with organizational goals.
• Ensure data accuracy, consistency, and governance across all analytical outputs.
• Translate analytical findings into clear, concise insights and present them to senior stakeholders.
• Mentor and guide analysts, conducting reviews and ensuring high-quality analytical standards.
• Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery.
• Required Skills & Qualifications
• 2–8 years of experience in analytics, business intelligence, or data analytics roles.
• Strong hands-on expertise in SQL for data extraction, transformation, and aggregation.
• Proficiency in SAS for advanced analytics, modeling, and statistical analysis.
• Experience with Tableau or similar BI tools for data visualization and dashboarding.
• Solid understanding of credit card analytics, consumer credit, or lending-related data.
• Strong foundation in advanced analytics, including segmentation, trend analysis, and performance metrics.
• Ability to work with large, structured datasets and deliver insights at scale.
• Excellent problem-solving skills with strong attention to detail.
• Strong communication skills with the ability to explain complex analyses to non-technical stakeholders.