BI Analyst, Trust & Safety — Analytics & Automation

TikTok; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

TikTok is seeking a Business Intelligence Analyst in Trust & Safety to turn complex data into actionable insights. You will partner with cross-functional teams to translate requirements into scalable analytics and automation.

The role emphasizes building data workflows, reporting tools, data governance, and exploring AI-enabled solutions to improve efficiency and data accessibility, while maintaining high data quality in moderation contexts.

Qualifications

• 5+ years in data automation or analytics roles.
• Strong stakeholder management and communication.
• Proficient in Excel automation and data pipelines.
• Proficient in Python and SQL; familiar with Tableau/Power BI.
• Knowledge of relational databases/data warehousing (BigQuery/Snowflake).
• Experience with data quality, validation, governance.

Responsibilities

• Translate business needs into scalable analytics and automation.
• Develop and maintain scalable data workflows.
• Collaborate with operations, engineering, and platform teams.
• Build, design, and monitor reporting tools surfacing key metrics.
• Create technical documentation, data definitions, and user docs.
• Evaluate emerging analytics and AI technologies to improve efficiency.
• Ensure data quality, validation, and governance across automated reporting.

Skills

SQL

Python

Data analytics

Excel automation

Data visualization

Stakeholder management

Documentation

Automation

BigQuery

Snowflake

Education

Bachelor's degree in MIS/CS/Analytics

Tools

Tableau

Power BI

RPA

BigQuery

Snowflake

Job description

TikTok is seeking a Business Intelligence Analyst in Trust & Safety to turn complex data into actionable insights. You will partner with cross-functional teams to translate requirements into scalable analytics and automation.

The role emphasizes building data workflows, reporting tools, data governance, and exploring AI-enabled solutions to improve efficiency and data accessibility, while maintaining high data quality in moderation contexts.