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Posted 09 July, 2026

Manager Amazon Analytics

Weekday AI
Remote Nationwide, IN Full Time
Reference: a2a8fb5fc71e8be9

Job Description

This role is for one of the Weekday's clients

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Min Experience: 2 years

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JobType: full-time

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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 .

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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.

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Requirements

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