People Data Analyst, Automation

About OpenAI

OpenAI is a leading artificial intelligence research and deployment organization committed to ensuring that artificial general intelligence (AGI) benefits all of humanity. With a focus on pushing the boundaries of AI capabilities, OpenAI develops innovative AI systems and deploys them responsibly through a range of products and services. The company values safety, inclusivity, and diverse perspectives, striving to create AI solutions that are safe, reliable, and aligned with human needs. OpenAI's mission emphasizes the importance of broad collaboration and ethical considerations in AI development, aiming to address global challenges and promote positive societal impact.

About The Role

We are seeking a People Data Analyst, Automation to join the People Analytics team as an automation expert. This role is highly technical and analytical, requiring a hands-on approach to building reliable datasets, automating reporting processes, and preparing data insights for leadership reviews. The successful candidate will play a key role in scaling reporting frameworks across the People data stack, working closely with cross-functional teams such as People Systems, Data Platform, Finance, and Recruiting Operations. The ideal candidate will possess strong SQL skills, experience in data analysis or engineering, and a passion for automating manual processes to improve efficiency and accuracy. This position offers an opportunity to contribute to strategic decision-making through data-driven insights while growing expertise in the People Analytics domain.

Qualifications

• 2-4 years of experience in an analytics role, including data analysis, data engineering, business intelligence, or consulting within a high-growth environment.
• Proficiency in SQL, including writing production queries, building ad-hoc ETLs, and conducting data validations.
• Experience with data cleaning, joining, and validating multi-source datasets, with the ability to communicate data limitations effectively.
• Strong written and verbal communication skills, capable of preparing clear, slide-ready charts and tables for leadership audiences.
• Ability to partner with non-technical stakeholders and translate business questions into technical data requirements.
• Automation experience using Python or similar programming languages is a plus.
• Familiarity with HRIS, ATS, or payroll data is advantageous but not mandatory.
• Strong attention to detail, reliability, and ability to operate effectively in a fast-paced environment.

Responsibilities

• Leverage the engineering stack to automate manual data analytics and reporting processes, improving efficiency and accuracy.
• Conduct data gathering, reporting, and analysis to support Executive Business Reviews and ad-hoc deep dives.
• Own the preparation of reporting and slide-ready data exports for leadership presentations.
• Collaborate with cross-functional stakeholders, including People Systems, Finance, Data Platform, and Recruiting Operations, to prepare, validate, and document datasets used for People reporting.
• Assist in building and automating recurring reports based on existing frameworks and stakeholder feedback.
• Partner with data warehouse engineering teams to enhance the accuracy, freshness, lineage, and robustness of core People datasets.
• Develop ad hoc data pipelines and implement rigorous data validation procedures to support high-stakes executive reporting and analysis.

Benefits

• Competitive salary range of $153,000 to $170,000, commensurate with experience.
• Relocation support for new employees.
• Hybrid work model with three days in the San Francisco office and optional remote work on Thursdays and Fridays.
• Access to modern, well-equipped office facilities including height-adjustable desks, conference rooms, phone booths, fully stocked kitchens, private outdoor spaces, nap rooms, and private bike storage.
• Opportunities for professional growth and development within a pioneering AI organization.
• Inclusive and collaborative work environment that values diversity and innovation.

Key skills/competency

• Data Automation
• SQL Proficiency
• People Analytics
• ETL Development
• Data Validation
• Python Scripting
• HRIS Systems
• Business Intelligence
• Executive Reporting
• Cross-functional Collaboration