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Manager Amazon Analytics

India

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Work setup
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Employment
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Apply at Weekday AI

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.
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.
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.

What you’ll bring

All qualifications

Preferred experience

  • Experience working in financial services, fintech, banking, or credit-focused domains.
  • Prior experience leading or mentoring junior analysts.
Qualification wording
Experience working in financial services, fintech, banking, or credit-focused domains.
Prior experience leading or mentoring junior analysts.

Tools in this posting

  • SAS
  • SQL
  • Tableau
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
- 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.

Job description

View original posting ↗

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.

Requirements

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source & posting history

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Pay

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Location & working pattern

India

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Status in our records
Active
First seen by us
Aug 15, 2026
Recorded sightings
173
Last seen by us
Oct 9, 2026
Employer says posted
Jan 27, 2026

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