Senior Product Pricing Analyst

Workday Inc

Pleasanton, CA, USA
Base: $149,000 - $223,600 usd (varies by location)...
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5+ years pricing experience in saas
2+ years gtm strategy or product management
Strong quantitative and qualitative data analysis
** Workday Inc is seeking a Senior Product Pricing Analyst to join their Pricing Team in Pleasanton, CA. The ideal candidate will have significant experience in SaaS pricing strategies and data analysis, with strong communication skills and the ability to work collaboratively across teams. **

Job Summary

  • This role plays a key part in shaping Workday's monetization strategy by defining pricing and packaging for new product offerings.
  • The team aims to improve value capture from customers while elevating sales force success through better pricing presentation.
  • Workday offers a culture rooted in integrity and empathy, providing trust to take risks and tools to grow professionally.

Matching Summary

Match Score: 75

** Workday Inc is seeking a Senior Product Pricing Analyst to join their Pricing Team in Pleasanton, CA. The ideal candidate will have significant experience in SaaS pricing strategies and data analysis, with strong communication skills and the ability to work collaboratively across teams. **

Salary

Base: $149,000 - $223,600 USD (varies by location); Bonus/Equity: Eligible for Workday Bonus Plan, commission/bonus, and annual refresh stock grants; Benefits: Comprehensive benefits package including flexible work arrangements

Skills & Requirements

Must-have

  • 5+ years pricing experience in SaaS
  • 2+ years GTM strategy or product management
  • Strong quantitative and qualitative data analysis
  • Experience with statistical methods and insights delivery
  • Ability to influence partners in matrixed environment

Nice-to-have

  • Top-tier strategy consulting firm experience
  • MBA degree preferred
  • Excellent communication skills for senior audiences
  • Self-starter with pragmatic approach
  • Experience inspiring change across global organization

Key Requirements

  • BSc with top class academics
  • MBA is a plus
  • High level of proficiency in data analysis
  • Solid understanding of statistical methods

Work Rights

Not specified

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