Security & Investigations Senior Data Analyst

About the Role:

Uber's Ethics, Compliance, & Security (ECS) organization seeks a highly skilled and self-directed Sr. Data Analyst to advance Uber's ability to assess and mitigate complex global risks through data-driven insights. The position will play a critical role in enabling strategic, risk-informed decision-making to enhance the resilience of Uber's global operations.

As a member of Global Security's Data Insights & Analytics (DIA) team, the Sr. Data Analyst will independently design and lead advanced analytics projects, provide analytical support to global strategic intelligence and security functions, and influence key decisions on physical and marketplace security, geopolitical business risk, and reputational exposure. The ideal candidate will bring a rare blend of research excellence and business acumen.

What You'll Do:

• Own end-to-end delivery of complex analytics initiatives supporting risk analysis and mitigation planning in all areas of risk to our operations, people, and facilities (not only direct security threats, but also the general risk landscape including geopolitical and economic developments, organized crime, natural disasters, etc.).
• Collaborate closely with the Global Strategic Analysis team to derive insights by integrating Uber's internal data with open-source intelligence (OSINT), other geopolitical indicators, and policy developments.
• Lead development and maintenance of statistical and machine learning models that quantify security-related risks and impacts (physical, operational, regulatory, reputational, financial).
• Conduct predictive modeling, causal inference, time series forecasting, impact evaluation, and other risk modeling as needed, tailored to security and geopolitical contexts.
• Proactively identify and execute on opportunities to improve data quality; to streamline collection and reporting systems; and to improve the reliability and reduce the maintenance burdens of data pipelines, machine learning models, and other data program architecture.
• Support cross-functional ECS initiatives on demand, acting as data subject matter expert and trusted technical advisor.
• Coordinate and manage projects spanning teams and stakeholders globally; ensure timelines and deliverables are tracked, communicated to stakeholders, and successfully delivered.
• Mentor junior analysts and promote data science best practices across DIA and other teams.
• Use industry expertise to see around corners and build analytic products that meet Uber's future as well as current needs.
• Above all, this role is expected to drive and develop novel solutions that address ECS' toughest data and analytic challenges through deep expertise in statistical methodology, matched with the practical domain knowledge and managerial experience to deliver results.

• Master's in Data Science, Statistics, Political Science, Economics, International Affairs, Criminology, or other directly relevant field.
• 8+ years of professional experience in quantitative research and/or data analytics, ideally blending both public-sector research and private-sector business exposure.
• Experience using SQL for data extraction and transformation.
• Experience using Python (preferred) or R for data manipulation, statistical modeling, and automation.
• Proficiency in advanced statistical modeling and machine learning techniques (including regression, clustering, classification, and casual inference) with the ability to select methods and optimize model specification independently.
• Skilled in data visualization using tools and libraries such as Tableau, Plotly, ggplot, or Leaflet

• Ph.D. in Data Science, Statistics, Political Science, Economics, International Affairs, Criminology, or other relevant field, for a total of 10 years of professional experience in applied statistical analysis including Ph.D. research experience.
• Deep subject matter understanding of security risks, geopolitical risk, or intelligence analysis (e.g., transnational crime, terrorism, civil unrest and interstate conflict, regulatory policy risk).
• Demonstrated history of initiative, creativity, and continuous improvement; demonstrated breadth of experience in proactively identifying and solving problems through data.
• Demonstrated success in working closely with a range of partners and stakeholders on complex analytical products.
• Experience working in a fast-paced environment, balancing multiple concurrent projects while being responsive to multiple stakeholders and adapting to new priorities with agility.
• Excellent written and verbal communication skills to communicate findings to diverse audiences, including translating complex concepts and issues into actionable insights for senior management and non-technical audiences.
• Familiarity with economic or policy impact analysis (e.g., quasi-experimental evaluation methods, cost-benefit frameworks, regulatory assessments).
• Familiarity with AI and advanced machine learning techniques.
• Experience with data management, including data quality assurance, permissions management, ETL pipeline automation and optimization, and version control via Git.
• Experience developing and operationalizing risk scoring or prioritization frameworks.
• Experience handling sensitive topics, systems, and information with appropriate discretion.
• Experience supporting decision-makers in high-stakes environments with ambiguous outcomes.
• Publications or demonstrable thought leadership in security-related data science, intelligence, or international risk domains is a strong plus.