Analytics Manager (AI)

Location: Hybrid in San Francisco, Washington, DC, or an approved remote location in the United States. Relocation eligibility depends on the approved location.

Salary: $190K base pay annually, plus equity and eligible performance-related bonuses.

Company

OpenAI is an AI research and deployment company developing general-purpose artificial intelligence products with a focus on safety and broad human benefit.

What you will do

• Analyze approved, aggregated ChatGPT usage data to identify geographic patterns across states, metropolitan areas, and priority markets.
• Develop insights into AI use for education, workforce development, entrepreneurship, small business, productivity, and everyday problem-solving.
• Translate analytical findings into evidence-based narratives, reports, presentations, visualizations, talking points, and other materials for policy, communications, partnerships, and public audiences.
• Build dashboards, reporting tools, recurring analyses, metrics, and repeatable processes for geographic and thematic insights.
• Collaborate with data science, research, product, engineering, policy, communications, and partnerships teams to improve analytical methods and support time-sensitive requests.
• Ensure analysis follows privacy, security, data governance, aggregation, approved-access, and safeguards against identifying individual users.

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 for quantitative analysis.
• Experience developing dashboards, reports, and data visualizations with Tableau, Looker, or similar platforms.
• Ability to structure analytical questions independently, identify relevant data, conduct rigorous analysis, and communicate findings clearly.
• Understanding of data quality, sampling limitations, representativeness, correlation versus causation, and the distinction between observed usage and broader societal outcomes.
• Ability to translate technical findings into concise, accessible insights for communications professionals, policymakers, and organizational leaders.
• Ability to collaborate across functions, manage competing priorities, and deliver high-quality work in a fast-moving environment.
• Intellectual curiosity about AI, public policy, economic opportunity, and the effects of emerging technologies on people and communities.

Nice to have

• Experience using data for public policy research, government affairs, strategic communications, or public-sector decision-making.
• Experience with geographically disaggregated state-, county-, or metropolitan-level data.
• Experience combining proprietary datasets with public data from 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.

Culture & Benefits

• Medical, dental, and vision insurance with employer contributions to Health Savings Accounts, plus health and dependent-care flexible spending accounts.
• 401(k) retirement plan with employer match, paid parental, medical, caregiver, sick, and safe leave, and paid company holidays.
• Flexible PTO for exempt employees and up to 15 paid days annually for non-exempt employees.
• Mental health and wellness support, employer-paid basic life and disability coverage, and an annual learning and development stipend.
• Daily office meals, eligible meal delivery credits, relocation support for eligible employees, charitable donation matching, and wellness stipends.