Data Analyst, MPO

TikTok; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

TikTok is seeking a data analytics focused professional in Singapore to drive performance data analysis, build insightful dashboards, and collaborate with product strategy and operations teams to translate business needs into data solutions.

The role involves partnering with the investigation and product teams, analyzing growth factors, and establishing data-driven processes to monitor and improve operations. A strong statistical and SQL/tooling foundation is required.

Qualifications

• Bachelor's degree or above in statistics, mathematics, or computer science.
• At least 2 years of data analytics experience with statistical fundamentals.
• Strong ability to learn and understand business lines and data relations.
• Proficient in at least one database operation (Hive/MySQL) and analytics tools (Excel/Tableau).

Responsibilities

• Responsible for data analytics on the performance side
• Analyze factors affecting product improvement and growth and plan actions
• Collaborate with investigation/product teams to align and implement actions
• Translate business logic into a data analytics framework and dashboards
• Decompose problems across business lines, product, and R&D to improve operations
• Use data to quantify metrics and monitor business conditions

Skills

Data analytics

Statistical analysis

Business understanding

Quantitative analysis

Education

Bachelor's degree in statistics/mathematics/computer science

Tools

Hive

MySQL

Tableau

Excel

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.

• 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 for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

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.