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Data Analyst, Global Security

Physical Security, Safety, Security & Insurance à San Francisco, CA

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

 

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

About the Role

 

We are looking for a talented Data Analyst to join the Global Security team, which monitors global events and incidents, assesses risk, identifies threats, and addresses them quickly and effectively. Using a data-driven and risk-based approach, we assign security support, allocate resources, and design processes and guidelines to keep Uber safe. This position will improve and maintain the technical security performance system used by Security Managers globally, which allows them to visualize and identify trends and patterns, track metrics and manage security of Uber sites worldwide.

What You’ll Do

  • Be the technical expert for the security performance management system
  • Integrate data from other sources into the system
  • Consistently maintain and improve the system
  • Analyze data and create graphs, charts, or other products to visualize data
  • Use data-driven insights to tell our team’s story (successes, issues, gaps, etc.)
  • Optimize data within Google Forms
  • Design surveys or advise teams on survey development to ensure proper data capture
  • Ensure the integrity of data within the system
  • Build predictive models to identify future trends and patterns
  • Develop process maps and training plans for the team
  • Develop, monitor, evaluate and manage metrics (OKRs, KPIs, etc.)
  • Create automated systems to track performance metrics
  • Identify and troubleshoot any issues or discrepancies
  • Project coordination and management - manage multiple high priority tasks/projects simultaneously
  • Track project performance, specifically to analyze the successful completion of short- and long-term goals
  • Conduct regular data quality audits to ensure accuracy and correct data collection/entry


What You’ll Need

  • Data Science / Statistics / Quantitative / Mathematics / Economics background
  • Must have experience with Google Sheets, Excel, Tableau, SQL, Google Forms, Google Slides and/or PowerPoint
  • Know at least one script language, such as Python or JavaScript
  • Familiarity with database engines, such as SQL Server
  • Possess strong communication skills, and specifically an ability to take a complex problem and explain it very simply
  • Be a teamplayer who enjoys cross-functional collaboration with colleagues and teams worldwide
  • Be a technical expert - not only fix issues as they arise, but be a proactive adviser to your manager and the Global Security team
  • Be driven and self-taught - seek solutions, identify gaps, create solutions and solve problems independently
  • Possess high integrity - you will be responsible for handling and safeguarding sensitive data, and encounter potential exposure to incident reports. Must be able to maintain discretion and confidentiality
  • Possess a demonstrated interest in international affairs, security, or criminology
  • Be comfortable operating in a fast-paced (often unstructured) environment
  • Possess excellent presentation skills
  • Be detail-oriented and create products that are polished, error-free, and ready for review by senior management and executives
  • Experience building risk models (preferred not required)

Déclaration de confidentialité pour les postulants

Chez Uber, nous ne faisons pas qu'accepter la différence : nous la célébrons, nous la soutenons et nous l'encourageons pour nos collaborateurs, nos produits et notre communauté. Uber est fier d'offrir les mêmes opportunités à chacun. Nous nous engageons à offrir à tous les mêmes opportunités, quels que soient, par exemple, l'origine, la religion, l'identité et orientation sexuelle, l'âge, la nationalité, le statut marital ou le handicap.