Data Analyst, MPO

TikTok; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

TikTok is seeking a data analytics specialist to support Monetization Product Operations in Singapore. You will analyze performance data, build dashboards, and deliver insights that drive product improvements and better advertising experiences.

Collaborate with Sales and Product teams to translate business requirements into actionable analytics, monitor key metrics, and help reduce ticket problems through data-driven process enhancements.

Qualifications

• Bachelor's degree or above in statistics, mathematics, or computer science.
• At least 2 years of experience in data analytics.
• Solid understanding of statistics and quantitative analysis.
• Strong ability to connect business needs with data insights.

Responsibilities

• Perform data analytics on performance metrics to drive improvements.
• Identify factors influencing product growth and set actionable goals.
• Collaborate with investigation/product teams to align factors and actions.
• Translate business requirements into a data analytics framework and dashboards.
• Decompose problems across business lines, product, and R&D operations.
• Provide data-driven insights to reduce ticket problems and improve SLA.

Skills

Data analytics

Statistical principles

Quantitative analysis

Business understanding

Learning ability

Education

Bachelor's degree or above in statistics/math/cs

Tools

Hive/MySQL

Excel

Tableau

Job description

Responsibilities

Team Intro

The Monetization Product Operations (MPO) is responsible for Customer Support and Tools & Workflows within Product Strategy & Operations team. Its mission is to provide Best in class advertising experience by ensuring excellence in customer service and streamlining process & tools to ensure smooth operations. The team collaborates with Sales to provide post-sales support and works closely with product team on product improvement through feature requests and management of bugs.

Responsibilities

• Responsible for data analytics on the performance side
• Analyze the factors that affect the improvement and growth of various products, and formulate reasonable goals and plan actions based on business direction
• Cooperate with the investigation team/product team to promote the target alignment and implementation action plan of influencing factors
• Understand business logic and requirements, break down business logic and requirements into an easy-to-use data analytics framework and metric system, produce data dashboards and analysis conclusions, and effectively monitor business situations
• Problem decomposition and attribution should be comprehensively focused on from multiple dimensions such as business lines to product and R & D operations. Through multi-layer data analysis, drill down and disassemble, and finally fall into the business to improve basic problems and self-diagnosis capabilities. Establish an SLA mechanism for product and R & D operations, break down information barriers, reduce problem frequency, and reduce ticket problems
• Through data drill-down analysis, combined with problem classification and attribution, we can break down solvable problems, promote product tool capacity building, ask diagnostic capabilities, and reduce volume direction. Data can be quantified and metrics can be measured

Qualifications

Minimum Qualification(s)

• Bachelor's degree or above, with majors in statistics, mathematics, or computer science as bonus points.
• At least 2 years of experience in data analytics, mastery of basic statistical principles, and proficiency in quantitative analysis.
• Has strong learning ability and business line understanding and judgment, and can explore the connection between business details and data
• Proficient in at least one database operation, such as Hive/MySQL, etc. Familiar with commonly used data analytics methods and proficient in at least one analysis tool, such as Excel/Tableau, etc.

Preferred Qualification(s)

• Background in data analytics, development, and algorithms is preferred. Proficient in using data analytics/mining languages, such as Python/R, is preferred.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs from ourselves the company and customers. We abide.......

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.