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Manager Amazon Analytics

๐Ÿ“… Jan 27
SQLSASTableauCredit Card Analytics
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๐Ÿ“œ Description

  • Lead analytics initiatives from problem definition through insight generation and recommendations.
  • Analyze large datasets to identify trends, patterns, and business opportunities.
  • Extract and aggregate data across sources using SQL and SAS.
  • Build and maintain Tableau dashboards, reports, and visualizations for business teams and leadership.
  • Deliver analytics for credit cards, consumer credit, and risk, including portfolio monitoring and customer behavior analysis.
  • Partner with product, risk, finance, and business teams; present findings to senior stakeholders and mentor analysts.

๐Ÿ› ๏ธ Requirements

  • 2โ€“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.
  • Experience working in financial services, fintech, banking, or credit-focused domains.
Full job description

This role is for one of the Weekday's clients

Min Experience: 2 years

JobType: full-time

We are looking for a Manager โ€“ 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

  • 2โ€“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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