Manager Amazon Analytics

6 hours, 12 minutes ago
Full-time
Senior
Data Science and Analytics
Weekday

Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering
11-50
Founded 2020

Description

  • Lead end-to-end analytics initiatives from problem definition through 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 in Tableau for leadership and business teams.
  • Support analytics use cases across credit cards, consumer credit, and risk analytics, including portfolio monitoring 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 analytical outputs.
  • Translate analytical findings into clear insights and present recommendations to senior stakeholders.
  • Mentor and guide analysts, including reviewing work and maintaining high analytical standards.
  • Continuously improve analytical frameworks, methodologies, and automation for scalable insights delivery.

Requirements

  • 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.
  • Experience working in financial services, fintech, banking, or credit-focused domains (preferred).
  • Exposure to stakeholder management in fast-paced, data-driven environments (preferred).
  • Prior experience leading or mentoring junior analysts (preferred).

Interested in this position?

Apply directly on the company website

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