Jobs Companies Weekday AI Manager Amazon Analytics

About this Manager Amazon Analytics role at Weekday AI

Weekday AI · India

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.
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About Weekday AI

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

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