TikTok Shop - Special Project Expert, Integrated Marketing (Singapore,...

Responsibilities

• 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.

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


• Strong problem solving and analysis skills, ability to solve complex and diverse business problems (commercial, operational, organizational) and synthesize findings into structured communication documents.


• Advanced analytical skills; ability to gather data and structure it in a meaningful way for analysis and modeling, create reports and influence decision making.

Advanced spreadsheet skills needed for the role

• Strong stakeholder management skills, ability to manage and work together with multiple stakeholders, both from strategy and operational side.


• Self-starter with the ability to work independently, multitask, adapting to changing priorities.

Results and detail oriented, with strong commercial / business acumen

• Able to work under pressure and tight timeline

Preferred Qualifications:

• E-commerce and/or strategy consulting experience is preferred


• Knowledge of SQL is highly preferred