Google operates one of the world’s largest digital ecosystems, and therefore, protecting it from fraud, abuse, and policy violations is a mission of huge importance. The Trust & Safety Engineering Analyst role plays a central part in this mission. This position blends data analysis, project leadership, and cross-functional collaboration to ensure that Google’s advertising environment remains safe, transparent, and trustworthy.

To help you understand the role clearly, the entire job profile is explained below with improved readability and strong transition flow.

Job Overview Table

Category	Details
Company	Google
Role	Engineering Analyst – Trust & Safety
Location	Bengaluru, Karnataka
Minimum Qualification	Bachelor’s degree or equivalent experience
Experience Required	2 years in data analysis + 2 years in project management
Preferred Skills	Digital ads tech, ML/AI, risk and fraud analysis, experiment design
Key Function	Protect ads ecosystem from fraud, abuse, and invalid traffic
Work Mode	Full-time, cross-functional

What Does an Engineering Analyst in Trust & Safety Do?

This role sits at the intersection of data, risk, security, and engineering. The analyst evaluates large data sets to detect patterns that signal fraud or policy violations.

You become part of a global team that:

• Examines billions of ad events
• Builds systems to detect abusive behavior
• Works with engineers to strengthen ad-safety infrastructure
• Ensures that ads remain safe and reliable for users, publishers, and advertisers

It is a role that quietly fortifies the internet so others can browse freely.

Key Responsibilities

1. Conduct Data Analysis and Investigations

You will analyze large datasets using quantitative and qualitative methods. Additionally, you will detect unusual patterns, identify policy violations, and recommend enforcement actions. Because Google faces constantly changing fraud models, your insight will help the team stay ahead of new threats.

2. Collaborate With Engineering Teams

This role requires close partnership with engineering groups. Furthermore, you will contribute to traffic-quality improvements, machine learning enhancements, and large-scale automated defenses. Your analysis will therefore shape the systems that prevent fraud in real time.

3. Lead End-to-End Projects

You will manage entire project lifecycles across Trust & Safety, Product, and Engineering teams. As a result, you’ll define project goals, identify vulnerabilities, and ensure on-time delivery. This requires strong organization skills and the ability to coordinate across regions.

4. Work With Global Teams

Because Google operates in many countries, the role demands effective collaboration with colleagues worldwide. Consequently, you must communicate clearly, handle time-zone differences, and deliver projects according to global standards.

5. Review Sensitive Content

Since some investigations involve potentially sensitive or harmful content, emotional resilience and professional maturity are essential.

DevOps Engineer – Join Our Systems Team in Bengaluru

Minimum Qualifications

You must have:

• Bachelor’s degree or equivalent experience
• At least 2 years of experience in data analysis
• At least 2 years of experience in project management

Preferred Qualifications

You will stand out if you have:

• Experience in digital advertising technology
• Knowledge of metrics, data management, and experiment design
• Experience in fraud detection, risk modeling, or quantitative analysis
• Exposure to AI or ML in industry
• Strong communication and stakeholder management skills
• Ability to work in fast-changing environments

Salary Expectations (India 2025 Estimate)

Google does not list official figures, but industry data suggests:

• Approx. ₹18 – ₹32 LPA for Engineering Analyst roles in Trust & Safety
• Compensation varies based on experience, skills, and interview performance

Perks typically include:

• Health benefits
• Hybrid or flexible working
• Learning opportunities
• Global career paths

Why Consider This Role?

1. High Impact

Your work protects millions of users and ensures a clean ads ecosystem.

2. Cross-Functional Growth

You gain exposure to engineering, product, policy, and research teams.

3. Strong Career Path

This role can lead to positions such as:

• Data Scientist
• Trust & Safety Manager
• Product Analyst
• Fraud and Risk Lead
• Machine Learning Specialist

4. Work on Cutting-Edge Systems

You will work with:

• Large-scale datasets
• ML-driven automation
• Global fraud detection tools
• Policy intelligence systems

This role suits those who enjoy solving data-driven security challenges.