TikTok Shop - Data Analyst, Governance & Experience, EMEA

Responsibilities

The Data Science team for the TikTokShop EMEA Governance and Experience team are dedicated to data insight and data solutions for governance and experience, helping to ensure a safe and trustworthy marketplace for our buyers, sellers and creators.

About the role:
- Drive new insights, identify opportunities and help craft solutions through data.
- Measure and monitor customer experience key metrics, such as NPS, CPO and PARR etc.;
- Translate complex data insights into actionable strategies and recommendations for senior management.
- Establish customer experience metrics systems, effectively discovering related problems and providing solutions to the business.
- Design a/b experiments for effective improvement and ROI calculation, conducting analysis to optimize strategies.
- Conduct deep analysis of seller and customer experience, to explore more opportunities in repurchase, retention and conversion;
- Improve data accessibility for GNE governance and experience teams; increase data understanding, improve dashboard availability and insight.
- Cross-functional Collaboration: Collaborate effectively with other departments (e.g., marketing, sales, product development) to ensure alignment on strategic goals, data-driven initiatives, route cause analysis and create action plans.
- Leverage data intelligence systems to evolve, making the E-Commerce ecosystem better and better.

Qualifications

Minimum Qualifications:
- Bachelor Degree or above in a Science, Engineering or similar. Engaged in data statistics, analysis, modeling related working areas after graduation.
- Proficient in SQL, with awareness of Python or R for data analysis.
- Strong verbal and written communication skills in English, with the ability to create documentation and communication globally with cross-functional partners.
- Strong willingness to learn, with curiosity to pick up domain knowledge in new areas quickly.
- Proven ability to work in a fast paced environment, adapting and overcoming challenges.

Preferred Qualifications:
- Previous EMEA e-commerce experience recommended but not required.
- Global business or analytical experience to operate effectively as part of an international team: Cross-cultural cooperation will be critical, as part of global GNE Data Science, Strategy, and Insight teams.
- Masters/MBA in Mathematics, Statistics, Computer Science is preferred.