Workspace Trust & Safety Data Engineer

Google LLC; Singapore; À distance; SGD 70 000 - 110 000; Plein temps

Résumé du poste

Google LLC in Singapore seeks a Workspace Trust and Safety Engineering Analyst to extract insights from Workspace log data, identify abuse trends, and support anti-abuse protections. You will collaborate with Engineering, PMs, Data Scientists, and partners to quantify risks and inform product improvements.

The role emphasizes hands-on data analysis, scalable workflows, and clear communication to stakeholders.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
• 2 years of experience in manipulating data sets using SQL or other programming or scripting languages.

Responsabilités

• Extract, transform, and analyze Google Workspace log data using advanced investigative methods to solve abuse challenges, investigate escalations to uncover vulnerabilities and tactics used by bad actors.
• Lead comprehensive analysis to deliver insights on abuse trends, directly contributing to the design and improvement of anti-abuse product protections.
• Partner with Engineering, Product Managers (PMs), Program Managers (PgMs), Data Scientists, and external groups to qualify, quantify, and understand complex abuse tests while co‑developing company‑wide counter‑abuse strategies and improvements.
• Establish foundational frameworks to streamline Workspace Trust and Safety escalations, and quantify the impact of anti-abuse teams to build internal and external awareness of best practices.

Connaissances

Data analysis

Project management

SQL

Formation

Bachelor's degree

Description du poste

Google LLC in Singapore seeks a Workspace Trust and Safety Engineering Analyst to extract insights from Workspace log data, identify abuse trends, and support anti-abuse protections. You will collaborate with Engineering, PMs, Data Scientists, and partners to quantify risks and inform product improvements.

The role emphasizes hands-on data analysis, scalable workflows, and clear communication to stakeholders.