Senior Compensation Analyst
SnowflakeUS-CA-Menlo ParkPosted 7 April 2026
Job Description
Senior Compensation Analyst
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Are you ready for the experience of your career at a high-growth company? Do you enjoy building? Do you want to work with a collaborative team where learning is shared and you are supported? Snowflake is still growing and hiring globally, and we need a Compensation Business Partner, to assist with our tremendous growth.
AS A SENIOR COMPENSATION ANALYST, YOU WILL:
- Conduct detailed compensation analysis and modeling to support compensation program design, recommendations and decision making.
- Lead market benchmarking efforts to evaluate internal equity and external competitiveness, refining job architecture and pay ranges to support business objectives.
- Manage the execution of our global planning cycles, with a focus on data integrity, reporting, and process optimization.
- Partner with the Recruiting Team to optimize offer processes and provide market intelligence and insights.
- Develop and maintain compensation tools, dashboards, and templates to drive informed decision-making.
- Participate in special compensation projects as needed
TO BE SUCCESSFUL, YOU WILL HAVE THE FOLLOWING EXPERIENCE AND SKILLS:
- Be a subject matter expert on all compensation fundamentals, requiring 5+ years of related compensation experience in a global technology environment
- Have deep knowledge of compensation practices and have experience with RSUs, stock options and performance equity plans
- Expert-level quantitative and statistical modeling skills with a proven ability to translate complex data into clear business insights.
- A team player who can work in a collaborative environment, cross-functionally and globally, at a fast pace
- A proven ability to design, build, and deploy data models and analytical tools to automate and improve compensation processes.
- Demonstrated programming fluency in SQL and Python (or R) to query large datasets and build custom analytical tools. Expert-level proficiency in advanced Excel functions (e.g., array formulas, Power Query) is required.
- Strong experience with Workday (or similar global HRIS) for data extraction, manipulation, and reporting.
- Strong interest in Pay Equity and Pay Transparency initiatives
YOU WILL RECEIVE BONUS POINTS FOR THE FOLLOWING:
- Being a situational, influential leader with the ability to operate in the gray space, pivot as needed, and keep up in a hyper-growth environment
- Enacting process improvements and bringing new ideas to the table
- Large technology company experience
WHY JOIN OUR HUMAN RESOURCES COMPENSATION TEAM AT SNOWFLAKE?
This is an exciting opportunity to join the highly respected and collaborative Snowflake HR organization. We are first and foremost a customer service organization. Our #1 objective is to support the business in achieving their goals. We operate situationally, not from an abundance of policies. This means there isn’t always a “one size fits all” approach to Compensation decisions. We are consultants and advisors and believe t ... (truncated, view full listing at source)
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