Data Analyst, User Operations at OpenAI

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

8+ years in analytics, business intelligence, or data science, ideally supporting customer support or operations teams
Expert-level SQL skills and proficiency in Python or R for advanced analysis and automation
Hands-on experience designing and maintaining BI dashboards (e.g. Looker, Mode, Tableau, Sundial) with a focus on clarity and self-serve usability
Hands-on experience fine-tuning or prompt-engineering LLMs to build text classifiers, sentiment analysis, or tagging systems
Demonstrated ability to translate complex datasets into clear business stories and recommendations for both technical and non-technical audiences
Familiarity with support metrics (SLAs, FCR, deflection) and ability to define service health KPIs
Strong cross-functional communication skills—comfortable collaborating daily with engineers, data scientists, and operations leaders
An eye for detail, a zero-defect mindset, and a bias toward action over theoretical perfection
Possess a strong bias for automation and can defend governance decisions that keep data and

Responsibilities

Explore large support and product datasets to uncover trends, volume drivers, and user-experience pain points, distilling findings into clear, actionable narratives
Build, enhance, and maintain self-serve dashboards and reporting tools, enabling non-technical teams to answer their own data questions
Establish a unified metrics taxonomy for service-health and performance—and build automated data-sharing pipelines and scorecards with our BPO partners to ensure everyone operates from the same real-time view of success
Leverage LLMs to build bespoke classifiers that automatically label and segment inbound volumes—powering smarter routing, richer self-serve insights, and swifter root-cause analysis
Partner with Data Engineering to ensure reliable pipelines, implement data-quality checks, and document sources of truth
Jump into high-priority special projects to conduct bespoke deep-dive analyses and deliver clear, strategic recommendations to leadership
Prototype quickly—leveraging ChatGPT, Jupyter notebooks, Retool, and other tools—to prove value before hardening with Engineering
Collaborate with Data Science on predictive models and experimentation, translating results into operational recommendations

Skills

SQL

Python

Data Visualization

Dashboards

Analytics

ETL

Data Pipelines

Reporting

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees