People Data Automation Analyst

About the team OpenAI’s People team hires, engages, and retains world-class talent who will safely build and deploy AGI that benefits all humanity. The People Analytics team partners closely with People Business Partners, People Systems, Total Rewards, Recruiting, and Data Platform teams to provide rigorously validated insights that inform leadership decisions, organization design and operational cadence. About the role We’re looking for an Analyst to join the People Analytics team as an automation expert. This role is hands-on, technical and analytical: you’ll build reliable datasets, prepare, audit and automate reporting for leadership reviews, and help scale reporting frameworks across the People data stack. You should have a strong technical background (it doesn’t have to be HR/People domain experience), be comfortable working with data stakeholders across a People org, and be excited to learn and grow in the People Analytics Domain. Your Responsibilities: - Leverage our engineering stack, be creative and automate manual data analytics and reporting processes.

• Conduct data gathering, reporting and analysis needs for Executive Business Reviews and ad-hoc deep dives.
• Own preparation of reporting and slide-ready data exports for Executive Business Reviews.
• Work with cross-functional stakeholders (People Systems, Finance, Data Platform, Recruiting Operations and more) to prepare, validate, and document datasets used for People reporting.
• Help build and automate recurring reporting based on existing frameworks and stakeholder feedback.
• Partner with data warehouse engineering and data stakeholders to improve accuracy, freshness, lineage, and robustness of core People datasets.
• Develop ad hoc data pipelines and rigorous data validations to support high-stakes executive reporting and deep-dive analyses. We’re Seeking: - 2–4 years in an analytics role (data analysis, data engineering, business intelligence, consulting or similar) at a high-growth organization.
• High performing and highly dependable, comfortable operating with rigor in a fast-paced environment, with strong attention to detail.
• Strong SQL expertise. You will write production queries, build ad-hoc ETLs and conduct data validations as needed.
• Comfortable cleaning, joining, and validating multi-source datasets and communicating data limitations.
• Excellent written and verbal communication; experience preparing slide-ready charts/tables for leadership audiences.
• Demonstrated ability to partner with non-technical stakeholders and translate business questions into data requirements.
• Strong Python and automation experience is a plus.
• Prior experience with HRIS/ATS/payroll data is a plus but not required. Workplace & Location This role is based in our San Francisco office, and we aren’t considering remote applications at this time. We do encourage you to apply even if you prefer a fully remote role as location factors may change over time. We offer relocation support to new employees, and we use a hybrid model: three days in the office per week with optional work from home on Thursdays and Fridays. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more. 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 we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: pro

• To demonstrate proficiency in Adjust and Excel, prepare examples of automation projects you've worked on, such as building a dashboard to track employee engagement metrics or creating a script to automate reporting tasks, and be ready to walk the interviewer through your process.
• Familiarize yourself with OpenAI's People Analytics team's publicly available reports and research, and think about how you can contribute to their mission of providing rigorously validated insights to inform leadership decisions, highlighting your ability to understand the company's goals and values.
• Build a portfolio that showcases your technical background and analytical skills, including samples of automated reports, data visualizations, and technical writing examples, to demonstrate your ability to communicate complex data insights to non-technical stakeholders.
• Research OpenAI's current projects and initiatives, such as their work on AGI, and think about how your automation expertise can be applied to support these efforts, demonstrating your enthusiasm for the company's mission and your ability to think creatively about how to contribute to it.
• Prepare to discuss your experience with data validation and auditing, as well as your ability to ensure data quality and integrity, highlighting your attention to detail and analytical skills, which are critical for this role.
• Consider reaching out to current or former OpenAI employees on LinkedIn to learn more about the company culture and the People Analytics team's workflow, and to get a sense of the types of questions you may be asked in an interview, demonstrating your proactivity and interest in the company.