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Mid LevelFull-timeJavaScriptPythonJavaRustReactAWSData ScienceFigmaAI
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a data visualization analyst who can turn complex intelligence and forecast outputs into clear, interactive visual stories that shape how OpenAI manages risk. This role focuses on building dashboards, maps, and visual frameworks that leadership and partners rely on to understand where risks are emerging, how they evolve over time, and which mitigations matter most.
Key Responsibilities
- →Design and build dashboards and interactive visualizations that track emerging safety and abuse risks across products and geographies.
- →Develop interactive risk views such as prioritization heat maps for safety and abuse scenarios.
- →Partner with analysts and investigators to translate narrative intelligence, case studies, and OSINT into visual formats.
- →Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to ingest and align data from multiple internal systems and external sources.
- →Establish and maintain a visual "source of truth" for top strategic risk themes and their evolution over time.
Requirements
- ✓Significant experience (typically 4+ years) in data visualization, business intelligence, or analytics, ideally in security, trust and safety, intelligence, risk, or policy environments.
- ✓Demonstrated expertise with at least one major data visualization / BI stack (e.g., Tableau, Looker, Power BI, Mode, Superset, or equivalent).
- ✓Strong baseline analytics skills, including experience taking data from APIs, building ETL pipelines, and wrangling structured and unstructured data into real-time or near-real-time dashboards.
- ✓Familiarity with React or D3.js (or similar JavaScript-based visualization libraries).
- ✓Experience visualizing time-series, event-based, and scenario/forecast data.
- ✓Solid visual and graphic design capabilities, including an eye for clear information design, layout, and visual hierarchy.
- ✓Ability to work with data from diverse sources and levels of maturity (structured metrics, case notes, OSINT, qualitative assessments).
- ✓Proficiency in SQL and working knowledge of Python for querying large datasets, exploratory analysis, and building data pipelines that feed dashboards and reporting.
- ✓Proven experience collaborating with cross-functional partners to define requirements and iterate quickly on visual products.
- ✓Strong written and verbal communication skills.
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