Senior Business Intelligence & Automation Analyst

TikTok; Singapore; On-site; SGD 110,000 - 170,000; Full time

Job summary

TikTok is seeking a seasoned Business Intelligence Analyst in Singapore to empower data-driven decision-making. You will own and manage operational metrics, develop robust reporting systems, and provide analytical insights to improve Trust & Safety operations globally.

Responsibilities include partnering with stakeholders, building scalable data workflows, and maintaining data quality and governance across automated reporting.

Qualifications

• 5+ years of hands-on experience in data automation, analytics, or a related analyst role.
• Strong stakeholder management and communication skills, with the ability to translate business needs into scalable data solutions.
• Proficient in Excel automation, data pipeline development, and scripting for automation tasks.
• Proficient in Python and SQL for data analysis, automation, and scalable data workflows; familiarity with data visualization tools.

Responsibilities

• Partner with cross-functional stakeholders to gather, prioritize, and translate business requirements into scalable analytics and automation solutions.
• Develop and maintain scalable data workflows (e.g. Scheduled SQL queries, Python scripts or RPA bots).
• Collaborate with operations, engineering, and platform teams to improve data flow between platforms.
• Build, design, and monitor reporting tools that surface key metrics and operational insights.

Skills

Data automation

SQL

Python

Excel automation

Data visualization

Stakeholder management

Relational databases

Education

Bachelor's degree in MIS/CS/Business Analytics

Tools

Tableau

Power BI

BigQuery

Snowflake

Job description

TikTok is seeking a seasoned Business Intelligence Analyst in Singapore to empower data-driven decision-making. You will own and manage operational metrics, develop robust reporting systems, and provide analytical insights to improve Trust & Safety operations globally.

Responsibilities include partnering with stakeholders, building scalable data workflows, and maintaining data quality and governance across automated reporting.