POSTED May 9

Data Analyst, Compensation

at OpenAISan Francisco, CA

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About the Team

OpenAI’s People team aims to hire, engage, and retain world-class talent who will ensure that artificial general intelligence benefits all of humanity. The HR team supports a complex, growing employee group of scientists, engineers, and business professionals. The team contains expertise across employee experience, business partnership, operations, compensation, benefits, DEI, L&D, and more.

 

About the Role

OpenAI seeks to hire its first Data Analyst, Compensation. This role will partner closely with our Head of Compensation and own the design, evaluation, and modification of our salary and equity programs. This role will help OpenAI achieve its mission by creating compensation structures and models that allow us to continue to attract and retain the world’s best talent.

The ideal candidate possesses robust data analytics and communication skills, exhibits a strong bias for execution, and demonstrates an ownership mindset. They should be passionate about solving complex problems and thrive in a fast-paced environment. 

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Lead the analysis and visualization of internal and external compensation data and identify key trends to inform strategic decisions. 

  • Develop and deploy data models to assess the effectiveness of compensation strategies and forecast future trends. Ability to leverage diverse data sources and deliver accurate findings in quick turnarounds.

  • Collaborate with the People Systems team to enhance compensation tools, ensuring high accuracy and efficiency in data handling. Ability to scale compensation tools in line with OpenAI's growth.

  • Partner with internal stakeholders to address compensation issues, demonstrating strong teamwork and execution skills.

  • Prepare and deliver analytical reports on compensation matters to senior management and other key stakeholders. Work closely with HR, Finance, Recruiting, and Legal departments to foster a collaborative approach to compensation management.

We're looking for a blend of:

  • 2+ years of experience in finance, consulting, people analytics, compensation, or other related fields.

  • Exceptional data analysis and visualization skills. Proficient in Excel and PowerPoint. Experience in SQL, Python, or Tableau is a plus.

  • Exceptional problem-solving and project management skills.

  • Excellent communication and interpersonal skills, highly collaborative, and a strong team player.

  • Pragmatic, quick-thinking, and action-oriented.

  • Obsessive attention to detail and commitment to excellence.

  • Thrives in a fast-paced environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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