Data Understanding Specialist - Indonesian Market - Kuala Lumpur

TikTok; Kuala Lumpur; On-site; MYR 60,000 - 80,000; Full time

Job summary

A global social media platform is looking for a motivated individual for their Global Monetization Integrity team in Kuala Lumpur. The role focuses on project readiness, data integrity, and process optimization, requiring proficiency in both Indonesian and English. Candidates should have a background in data/business analytics, excellent communication skills, and be self-starters ready to tackle challenges. Experience in project management and technical skills in Excel, SQL, and scripting are preferred.

Qualifications

• 1 year of full-time working experience with data/business analytics education.
• Proficiency in Indonesian Language and English.
• Excellent verbal and written communication skills.

Responsibilities

• Cooperate with Piller DUS on project support and requirements.
• Monitor the quality of project outputs against KPIs.
• Identify and address operational challenges or inefficiencies.

Skills

Data interpretation and analysis

Communication skills

Problem solving

Learning agility

Project management

Education

Data/business analytics education

Tools

Excel

SQL

Python

R

Job description

Overview

The Global Monetization Integrity team ensures TikTok users have a safe experience while viewing advertisements. They work closely with advertisers to create ad policies, manage content review processes, and more. As we continue to add advertising on TikTok, this team is critical in assuring a joyful and creative ads experience for the community.

Responsibilities

1. Project Readiness, Delivery & Reporting:

• Cooperate with Piller DUS on project support and requirements.
• Provide project specific insights, RCA and business metrics (cooperate with XFN’s where required, delegated).

Template application, selection: Work with FA’s and DCC on the use, application and criteria for Labeling Template use (TCS; JIMU/LP; Neeko).

• SOP Creation / Iteration: Align with RD, BP on requirements, adhere to SOP template; maintain and update SOP during project lifecycle mapping to any change in requirements or RCA feedback.
• Queue Creation + Injection: Create Live and where required Practice, Test and 2RQA Queues across TCS and LP. Liaise with FA for support; RD to own complex Queue injections; DUS to support uploading and injection of pre-identified data sets.
• Creation of GDS: Help create, maintain and iterate the Golden Data Set; CS Exam creation linked to GDS.

2. Training and Quality Adherence and Integrity:

• Train, Host or Record SOP review and application; distribute to internal BD teams.
• Monitor the quality of project outputs against KPIs and quality standards, taking corrective actions as necessary to maintain high standards of data accuracy and integrity.
• Queue Health Check: Perform periodic reviews and audits of ongoing projects to identify potential issues or areas for improvement, implementing solutions to enhance project outcomes.

3. Process Optimization and Problem Resolution:

• Identify and address operational challenges or inefficiencies, recommending and implementing process improvements to enhance project flow and compliance with best practices.
• Assist in the training and development of DUS team members to ensure they are equipped to meet project demands and quality expectations.

Qualifications

Minimum qualifications:

• 1 year of full-time working experience with data/business analytics education/experience – internships highly valued. Please indicate your graduation date (month + year) and notice period (if any) clearly in your resume.
• Proficiency in Indonesian Language and English; English Language will be the primary language for internal communication.
• Proficiency in data interpretation and analysis; interest in AI and Machine Learning concepts, particularly in the field of data annotation.
• Excellent verbal and written communication skills for clear and effective communication with both requestors and labelers.
• Demonstrates learning agility with strong problem solving skills.
• Self‑starter who is driven to deliver impactful outcomes.

Preferred qualifications:

• Experience in project management with organizational skills to manage multiple tasks concurrently, preferably in a data environment.
• Strong technical skills in Excel, SQL and scripting languages (Python, R) are a plus.