Principal, Data Analyst - Transaction Analytics, Payments

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Sunnyvale, California, United States of America
Base: $117,000.00 - $234,000.00 (sunnyvale); base:...
Analytics strategy
Experimentation strategy
Complex data mining
Lead analytics for payments initiatives across our ecommerce experience, serving as a thought partner to senior leadership

Job Summary

  • Lead analytics for payments initiatives across our ecommerce experience, serving as a thought partner to senior leadership.
  • Drive experimentation strategy for new product features and experiences by designing intelligent, valid experiments using an in-house platform.
  • Influence senior leaders through compelling storytelling grounded in data and raise the analytical bar across the organization by mentoring analysts.

Matching Summary

Lead analytics for payments initiatives across our ecommerce experience, serving as a thought partner to senior leadership.

Salary

Base: $117,000.00 - $234,000.00 (Sunnyvale); Base: $90,000.00 - $180,000.00 (Bentonville); Bonus/Equity: annual or quarterly performance bonuses; Benefits: Health, Financial, Paid time off, and other benefits.

Skills & Requirements

Must-have

  • analytics strategy
  • experimentation strategy
  • complex data mining
  • executive-ready dashboards
  • cross-functional partnership
  • lightweight ETL processes
  • executive storytelling

Nice-to-have

  • e-commerce experience
  • payments products experience
  • retail background
  • credit and loan analytics
  • customer wallet platforms
  • regulated environments

Key Requirements

  • 5+ years of experience in analytics, data science, or business intelligence
  • Advanced proficiency in Python (pandas, numpy, statistical modeling)
  • Advanced proficiency in SQL for large-scale data manipulation
  • Strong expertise in data mining, exploratory analysis, and statistical thinking
  • Demonstrated experience building and scaling data visualization solutions
  • Strong best-practice knowledge of ETL processes and data pipeline fundamentals
  • Proven ability to translate complex datasets into strategic narratives
  • Experience influencing cross-functional teams without direct authority
  • Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience OR Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience OR 6 years' experience in data analysis, data science, statistics, or related field.

Work Rights

Not specified

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