Data Analyst, Risk

About the Data Analyst, Risk Role at Google

Trust & Safety team members at Google identify and tackle critical problems challenging product safety and integrity. As a Data Analyst, Risk, you'll leverage technical expertise, problem-solving skills, and user insights to protect users and partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. This role requires a strategic, big-picture thinker with a passion for integrity, working globally and cross-functionally with engineers and product managers to swiftly combat abuse and fraud.

You will be instrumental in designing, developing, and maintaining trust and safety access and security systems, ensuring security objectives are met without compromising operational efficiency. This includes designing and implementing seamless integrations between business goals and security systems, and developing strategies to enhance system effectiveness. Managing complex projects with multiple stakeholders and stringent deadlines will be a key responsibility, requiring high adaptability. You will possess deep domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and advanced methodologies such as data extraction and pipeline building.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields.

Preferred Qualifications

• 4 years of experience in data analytics, access and authentication management, cybersecurity, technology research, anti-abuse, or related fields.
• Experience in SQL, building dashboards, data collection and transformation, statistical modeling, visualization and dashboards, or a scripting or programming language (e.g., Python, Java, C++).
• Excellent written and verbal communication skills.

Responsibilities

• Design, develop, and maintain trust and safety access and security systems, ensuring security objectives are met without compromising operational efficiency.
• Design and implement seamless integrations between business goals and security systems, including developing and executing strategies to support system effectiveness.
• Manage projects involving multiple stakeholders, stringent deadlines, significant organizational implications, and requiring adaptability to changing circumstances.
• Demonstrate an understanding of the process area, including domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and investigative methodologies (e.g., extracting data, building data pipelines).
• Create anomaly detection pipelines, monitor and analyze systems for scaled abuse detection and user access monitoring and reduce risk to the enterprise.

Key skills/competency

• Data Analytics
• Risk Management
• Cybersecurity
• Trust and Safety
• SQL
• Python
• Statistical Modeling
• Data Visualization
• Anomaly Detection
• Project Management