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Manager Amazon Analytics at Weekday AI. This role is for one of the Weekday's clients. Min Experience: 2 years. JobType: full-time. We are looking for a . Manager – Amazon Analytics. to drive data-led decision-making across business, risk, and credit-focused use cases. This role is ideal for an analytics professional who thrives at the intersection of . advanced analytics, data engineering, and business insights. , with hands-on expertise in . credit and credit card analytics. .. As a Manager, you will work closely with cross-functional stakeholders to translate complex data into actionable insights, build scalable analytical solutions, and mentor junior analysts. You will play a critical role in extracting, aggregating, and analyzing large datasets to support strategic initiatives and operational excellence.. 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. . 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. . Company Location: India.