TikTok Shop - Data Analyst, Governance & Experience, EMEA

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 (., 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.
  
  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.