Google is Hiring Data Analyst, Risk
Trust & Safety • Hyderabad, Telangana
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Job Overview
Google is hiring a Data Analyst, Risk in Hyderabad to support its Trust & Safety organization. The role focuses on identifying and preventing fraud and abuse across Google products by using data analysis, statistical methods, and technical expertise.
The selected candidate will analyze quantitative and qualitative data, identify trends, generate insights, and improve tools and automated systems. The position also involves project management, defining project scope and deliverables, and presenting analytical findings to stakeholders to strengthen user safety and platform integrity.
Key Responsibilities
- Analyze and solve complex problems using data and statistical methods.
- Identify trends and patterns in quantitative and qualitative data.
- Generate summary statistics and actionable business insights.
- Identify and prevent fraud and abuse across Google products.
- Improve analytical tools and automated systems using data analysis and technical expertise.
- Present analytical findings and recommendations to stakeholders.
- Define project scope, goals, and deliverables.
- Manage projects to support risk analysis and fraud prevention initiatives.
- Collaborate with engineers, product managers, and cross-functional teams.
Skills & Technologies
Core Analytics & Data Skills
Risk & Domain Expertise
Professional Skills
- Strong analytical thinking and problem-solving capability.
- Project management experience, including scoping and deliverable definition.
- Excellent written and verbal communication for stakeholder presentations.
- Strategic thinking and cross-functional collaboration abilities.
Eligibility & Preferences
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Education Requirement: Bachelor’s degree or equivalent practical experience. (Master’s degree in a quantitative discipline is highly preferred).
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Experience Required: At least 2 years of experience in data analysis (identifying trends, generating summary statistics) and at least 2 years of experience managing projects.
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Preferred Qualifications: At least 2 years of experience or familiarity with SQL, R, Python, C++, or Machine Learning systems.
How to Apply
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Ensure your resume highlights your Risk Analytics, Fraud Prevention, and Data Analytics experience before submitting.
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