Data Visualization Analyst
Listed on 2026-03-07
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IT/Tech
Data Analyst, Data Scientist, Data Science Manager
About The Team
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.
StrategicIntelligence & Analysis (SIA) Team
The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real‑world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.
AboutThe 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. In this role, you build the 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.
In this role, you will Design And Build Dashboards And Interactive Visualizations That Track- Emerging safety and abuse risks across products and geographies.
- Geopolitical developments that affect OpenAI’s risk posture.
- Key abuse cases and incident trends using both structured and unstructured data.
- Prioritization heat maps for safety and abuse scenarios.
- “Emerging risks” boards with drill‑downs for deep dives.
- Forecast views of risk trajectories, including scenario comparisons over time.
- Translate narrative intelligence, case studies, and OSINT into visual formats.
- Standardize how we visualize incidents, metrics, campaigns, and risk clusters.
- Iterate quickly on visual prototypes in response to ongoing investigations or emerging crises.
Collaborate with data science, Safety Systems, Integrity, Global Affairs, and Product teams to:
- Ingest and align data from multiple internal systems and external sources.
- Ensure visualizations are accurate, timely, and consistent with existing metrics and taxonomies.
- Build views that are directly usable in leadership reviews, safety councils, and partner briefings.
- Top strategic risk themes and their evolution over time.
- Cross‑geography views (e.g., markets, supply chains, infrastructure) for safety and geopolitical risk.
- Key mitigations and owners linked to specific risk categories or regions.
- Create templates, style guides, and reusable components so that the team can rapidly produce consistent, high‑quality visual materials (dashboards, one‑pagers, workshop materials, and exec reviews).
- 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), including building interactive dashboards for non‑technical stakeholders.
- 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 real‑time or streaming data frameworks is a plus.
- Familiarity with React or D3.js (or similar JavaScript‑based visualization libraries), with the ability to build or customize visual components directly in code, is a strong plus for this role.
- Experience visualizing time‑series, event‑based, and scenario/forecast data, including:
- Trendlines, trajectories, and leading indicators.
- Clear communication of uncertainty and confidence levels.
- Strong skills in structuring and visualizing complex problem spaces, such as:
- Multi‑dimensional risk taxonomies and prioritization frameworks (likelihood, impact,…
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