Manager Amazon Analytics
Job Description
This role is for one of the Weekday's clients
\nMin Experience: 2 years
\nJobType: full-time
\nWe 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 .
\nAs 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.
\nRequirements
Key Responsibilities \n- \n
- Lead end-to-end analytics initiatives , from problem definition to insight generation and recommendation delivery. \n
- Perform advanced analytics on large, complex datasets to identify trends, patterns, and business opportunities. \n
- Design and execute data extraction and aggregation processes using SQL and SAS across multiple data sources. \n
- Develop and maintain dashboards, reports, and visualizations using Tableau to support leadership and business teams. \n
- Drive analytics use cases related to credit cards, consumer credit, and risk analytics , including portfolio monitoring, performance tracking, and customer behavior analysis. \n
- Collaborate with product, risk, finance, and business teams to align analytics outcomes with organizational goals. \n
- Ensure data accuracy, consistency, and governance across all analytical outputs. \n
- Translate analytical findings into clear, concise insights and present them to senior stakeholders. \n
- Mentor and guide analysts, conducting reviews and ensuring high-quality analytical standards. \n
- Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery. \n
- \n
- 2–8 years of experience in analytics, business intelligence, or data analytics roles. \n
- Strong hands-on expertise in SQL for data extraction, transformation, and aggregation. \n
- Proficiency in SAS for advanced analytics, modeling, and statistical analysis. \n
- Experience with Tableau or similar BI tools for data visualization and dashboarding. \n
- Solid understanding of credit card analytics, consumer credit, or lending-related data . \n
- Strong foundation in advanced analytics , including segmentation, trend analysis, and performance metrics. \n
- Ability to work with large, structured datasets and deliver insights at scale. \n
- Excellent problem-solving skills with strong attention to detail. \n
- Strong communication skills with the ability to explain complex analyses to non-technical stakeholders. \n
- \n
- Experience working in financial services, fintech, banking, or credit-focused domains. \n
- Exposure to stakeholder management in fast-paced, data-driven environments. \n
- Prior experience leading or mentoring junior analysts. \n