Why This Job is Featured on The SaaS Jobs
People Data Automation Analyst roles are becoming a core capability in SaaS companies where decision-making depends on trustworthy internal data as much as customer analytics. This posting stands out for its placement inside a People Analytics function that interfaces with systems, finance-adjacent stakeholders, and a data platform—signals of a mature internal data stack and a need to operationalize reporting, not just analyze snapshots.
From a SaaS career perspective, the work maps closely to common scaling problems: standardizing definitions across tools, improving data freshness and lineage, and turning recurring leadership reporting into reliable pipelines. Building “slide-ready” executive outputs while also owning validations and light ETL creates a useful blend of analytics engineering and stakeholder-facing business intelligence—experience that transfers across SaaS orgs with complex RevOps, product, or People data ecosystems.
This role is best suited to an analyst who prefers hands-on automation and enjoys tightening processes that others rely on. It fits someone who can translate ambiguous questions into durable datasets, is comfortable partnering with non-technical teams, and values rigor in high-visibility reporting cycles. An interest in learning the People domain is relevant, but the emphasis remains on technical craft and cross-functional execution.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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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.
