TikTok Shop - Marketing Analytics & Special Project, Integrated Marketing (Singapore, E-commerce)

Responsibilities

About our team
Our SEA Integrated Marketing & Communication team is a dynamic group of creative minds, strategists, and marketing enthusiasts who are passionate about redefining the way people shop online. As a pivotal part of E-commerce Business, we work tirelessly to showcase the innovative potential of our platform, bridging the gap between users and their favorite contents & products. The team's core responsibility is to craft and execute integrated marketing and communications & campaign strategies that resonate with our diverse audience across SEA. We build brand awareness, drive user engagement, and enhance the overall shopping experience.

Responsibilities:
Own and evolve the performance calibration methodology - from GMV target setting to scenario-level distribution and traffic attribution - while building and maintaining the attribution foundation required for long-term automation and operational efficiency.

Responsibilities:
1) Calibration Model Ownership & Structural Decomposition
- Own the complete calibration framework for performance planning and target setting across campaigns.
- Develop structured decomposition from GMV → scenario → channel → traffic → conversion → value.
- Build underlying attribution logic where not yet existing, ensuring clarity on what drives performance and under which conditions.
- Validate calibration logic through retro-analysis, variance explanation, and performance tracing.
- Expand calibration precision over time - shifting from estimate-based to measurable driver-based modeling.
- Evolve methodology to support automation and system-based computation instead of manual modeling.

2) Attribution Framework Building, Maintenance & Automation Evolution
- Establish and standardize attribution definitions, tagging logic, and measurement methodology.
- Where gaps exist (data collection, granularity, tagging), work with DS/Infra to build foundational attribution components.
- Maintain and continuously refine attribution quality to ensure data reliability over time.
- Manage the lifecycle of attribution evolution:
- Define - attribution logic, taxonomy, measurement
- Build - dashboards, tagging systems, structured data pipelines
- Maintain - consistency, updates, correctness, documentation
- Automate - shift recurring attribution workflows to programmed or AI-assisted execution
- Ensure attribution visibility supports forecasting, diagnosis, and scenario optimization.
- Develop long-term automation pathways to reduce manual effort and accelerate insight turnaround.

3) Data Partnership & Analytical Interpretation
- Serve as the liaison between Ops, DS, and xFN in translating business questions into measurable data structures.
- Ensure clarity and consistency in metric definitions, data tagging, and analytical methodology.
- Support internal adoption of data-driven decision-making through structured knowledge sharing

This is not just analysis.
This is system-building.
This is institutional logic ownership.
This is creating the engine behind performance planning.

Qualifications

Minimum Qualifications:
- Bachelor's degree in business, operations or other relevant / quantitative disciplines
- 5+ years of experience in management consulting, operations, strategy or strategy role within a fast-paced technology company, preferably e-commerce