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

TikTok Pte. Ltd.

Singapore

On-site

SGD 80,000 - 120,000

Full time

Today
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Job summary

A leading tech company in Singapore is seeking an experienced professional to enhance performance calibration and attribution frameworks. The ideal candidate will have over 5 years in management consulting or strategy roles, with advanced analytical skills and a strong business acumen. Join us to create impactful data-driven strategies and be a key part of the E-commerce Business.

Qualifications

  • 5+ years of experience in management consulting, operations, strategy, or strategy role within a technology company.
  • Strong ability to synthesize findings into structured communication documents.
  • Excellent multitasking skills, adapting to changing priorities.

Responsibilities

  • Own and evolve the performance calibration methodology for long-term operational efficiency.
  • Develop and standardize attribution frameworks and measurement methodologies.
  • Serve as the liaison between departments, translating business questions into measurable data structures.

Skills

Problem solving and analysis
Stakeholder management
Advanced analytical skills
Advanced spreadsheet skills
Self-starter attitude

Education

Bachelor’s degree in business, operations, or other relevant disciplines

Tools

SQL
Job description
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. 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.

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
  • 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
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