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Open nowFirst seen 3 hours ago

Business Intelligence Analyst, Trust & Safety

TikTok4,265 open roles

Where
Singapore
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Your applicationOpen nowBusiness Intelligence Analyst, Trust & SafetyTikTok · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on TikTok's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. TikTok postings stay open a median of 6 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.6%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 34.0%30 days
This job: first seen 3 hours ago

TikTok median: 6 days open

The posting

The Business Intelligence Team empowers data-driven decision-making within our organization. We are committed to delivering meaningful insights that drive continuous improvement and optimize performance across all operational areas. The Business Intelligence Team owns and manages operational metrics and develops robust reporting systems and analytical insights to ensure accuracy, actionability, and timeliness of information. Our focus is on fostering collaboration, innovation, and efficiency for Trust & Safety (T&S) global functioning.

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 systems integration and data flow between platforms (e.g. workflow tools and databases). - Build, design, and monitor reporting tools that surface key metrics and operational insights. These may include data related to efficiency and quality performance in moderation teams. - Develop and maintain technical documentation, data definitions, and user documentation to support scalable analytics solutions. - Evaluate emerging analytics, automation, and AI technologies to improve operational efficiency, scalability, and data accessibility. - Ensure data quality, validation, and governance standards across automated reporting and AI-assisted workflows to support accurate, reliable decision-making.

Minimum 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 and technical concepts into actionable business insights. - 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, e.g., Tableau, Power BI, etc. - Understanding of relational databases and/or data warehousing concepts (e.g. BigQuery, Snowflake). - Proven analytical problem-solving skills with a keen eye for detail and process optimization. - Experience applying data quality, validation, and governance best practices to ensure accurate, reliable, and trustworthy analytics.

Preferred Qualifications: - A Bachelor's degree or higher in Management Information Systems, Computer Science, Business Analytics, Statistics or related subjects is preferred. - Comfortable with ambiguity; able to thrive with minimal oversight and process, while keeping leadership informed on progress against deadlines. - Experience working in Trust and Safety scaled operations, with an understanding of content moderation workflows or workflow management systems. - Strong organizational skills and the ability to manage multiple projects simultaneously in a fast-paced environment. - Proactive and self-motivated, with a strong attention to detail and a commitment to delivering high-quality work. - Experience identifying opportunities to leverage AI-assisted tools and automation to improve reporting, operational workflows, and productivity.

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