Sr. Compensation Analyst

About Anaconda

Be at the center of AI

With more than 47 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science, and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.

Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary

Anaconda is seeking a talented Senior Compensation Analyst to join our rapidly growing company. This is an excellent opportunity for you to leverage your experience and skills and apply it to the world of data science, artificial intelligence, and machine learning.

What You'll Do

• Lead market analysis and benchmarking efforts to ensure Anaconda maintains competitive and equitable pay practices.
• Own the job evaluation process, partnering with People Business Partners, Recruiters, Hiring Managers, and Finance to assess roles, levels, and compensation bands.
• Manage the annual compensation review cycle, including merit, bonus, and equity planning, in collaboration with Finance and senior leadership.
• Develop compensation insights and reports, providing clear recommendations based on internal data and external market trends.
• Drive the design, implementation, and continuous improvement of compensation structures, policies, and programs that support employee retention and motivation.
• Ensure compliance with pay transparency laws and regulatory requirements, staying ahead of emerging compensation-related legislation.
• Serve as a trusted advisor to People Business Partners and Talent Acquisition on compensation-related matters, guiding decision-making on offers, promotions, and adjustments.
• Partner with Finance to conduct compensation modeling, forecasting, and budgeting for salary increases, equity grants, and incentive programs.
• Leverage compensation technology and tools (e.g., Radford and Rippling) to optimize data accuracy, reporting, and decision-making.

What You Need:

• 5+ years of experience in compensation analysis and total rewards at a high-growth tech startup with a global footprint
• Strong command of compensation benchmarking methodologies and experience with salary surveys (e.g., Radford, Pave)
• Proficiency in Excel and data visualization tools (Google Sheets, Tableau, or similar)
• Ability to translate complex compensation data into meaningful insights for business leaders
• Experience managing compensation programs across multiple job families, levels, and countries
• Understanding of pay transparency laws and compliance considerations
• Exceptional attention to detail and analytical problem-solving skills
• Strong stakeholder management and communication skills, with the ability to influence across levels
• You embody our values of Clarity, Care and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish
• Experience with private equity compensation and stock option plans
• You embody our values of Clarity, Care and Candor
• You care deeply about fostering an environment where people of all backgrounds and experiences can flourish

What Will Make You Stand Out:

• Experience with HRIS systems (e.g. Rippling) and data visualization tools (e.g., Tableau)
• Passion for AI, data science, and open-source innovation
• Experience working in a fast-paced startup environment
<