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OpenAI's Global Affairs team is seeking an Analytics Manager to develop and communicate data-driven insights into how people and businesses are using ChatGPT, with a focus on local and regional trends across the United States and other priority markets.
In this role, you will analyze privacy-protective, aggregated usage data to identify meaningful patterns in AI adoption and use. You'll explore how people are using AI to work, learn, create, build businesses, and solve everyday problems, translating complex datasets into accessible insights that support policy development, strategic communications, stakeholder engagement, and public education.
Key responsibilities include:
**Develop Local and Regional Insights**
- Analyze approved, aggregated ChatGPT usage data to identify geographic patterns in AI adoption across states, metropolitan areas, and other markets.
- Develop insights into how people are using AI for education, workforce development, entrepreneurship, small business, professional productivity, and economic opportunity.
- Identify regional differences in adoption and use cases to inform Global Affairs' policy priorities and stakeholder outreach.
- Develop market-level profiles and recurring analyses illustrating AI usage across different communities.
- Identify emerging trends and noteworthy patterns for engagement with policymakers, civic leaders, institutions, and media.
- Evaluate data representativeness, limitations, and appropriate interpretation to ensure accurate, responsible communication.
**Support Policy and Communications Strategies**
- Partner with Global Affairs policy, communications, and partnerships teams to translate analytical findings into compelling, evidence-based narratives.
- Develop state- and market-specific insights to support policy initiatives, public affairs campaigns, legislative engagement, and regional communications.
- Identify data-driven stories illustrating how people and businesses are using AI.
- Support development of reports, fact sheets, presentations, data visualizations, talking points, and materials for internal and external audiences.
- Translate complex findings into clear, accessible explanations while accurately communicating uncertainty and methodological limitations.
- Respond to time-sensitive analytical requests related to policy developments and stakeholder engagement.
**Build Scalable Analytics Capabilities**
- Create dashboards, reporting tools, and repeatable analytical processes enabling Global Affairs teams to access relevant geographic and thematic insights.
- Collaborate with internal data science, research, product, and engineering teams to identify useful datasets and improve analytical methods.
- Establish consistent metrics and methodologies for tracking trends over time and comparing geographic markets.
- Develop analytical frameworks connecting usage patterns to research questions about economic opportunity, workforce transformation, education, and AI access.
- Combine internal insights with relevant public datasets to provide economic, demographic, and geographic context.
- Ensure all analysis and reporting follow OpenAI's privacy, security, and data governance requirements.
The ideal candidate combines strong analytical skills with an instinct for what makes data meaningful to policymakers, journalists, business leaders, and the public. This is a hands-on role for someone who enjoys moving between quantitative analysis, strategic problem-solving, and storytelling, with the opportunity to help build a new analytical capability within Global Affairs.
**Requirements**
- 4+ years of experience in data analytics, business intelligence, economic research, public policy analytics, or a related quantitative field.
- Proficiency in SQL and experience working with large, complex datasets.
- Experience using Python, R, or comparable analytical tools to conduct quantitative analysis.
- Experience developing dashboards, reports, and data visualizations using tools such as Tableau, Looker, or similar platforms.
- Ability to independently structure analytical questions, identify relevant data, conduct rigorous analysis, and communicate findings clearly.
- Strong instinct for identifying what is interesting, surprising, or consequential in a dataset and why it matters to a particular audience.
- Understanding of analytical rigor, including data quality, sampling limitations, representativeness, and the distinction between correlation and causation.
- Ability to translate technical findings into concise, accessible insights for nontechnical stakeholders.
- Comfort managing competing priorities and delivering high-quality work in a fast-moving environment.
- Intellectual curiosity about AI, public policy, economic opportunity, and how emerging technologies affect people and communities.
**Nice to Have**
- Experience using data to support public policy research, government affairs, strategic communications, or public-sector decision-making.
- Experience with geographically disaggregated data (state-, county-, or metropolitan-level datasets).
- Experience combining proprietary datasets with public data from sources such as the U.S. Census Bureau, Bureau of Labor Statistics, or Bureau of Economic Analysis.
- Experience analyzing behavioral or product usage data and translating findings into research, reports, or public-facing insights.
- Background in economics, political science, statistics, data science, or a related quantitative discipline.
- Experience developing analytical products or reporting capabilities from the ground up.
