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Manager, Amazon Analytics
Location
India
Posted
127 days ago
Salary
0
Seniority
Mid Level
Job Description
Manager, Amazon Analytics
Weekday (YC W21)
• 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.
Job Requirements
- 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.
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