TikTok Shop - E-commerce Affiliate Strategist, Home & Living (London)
Location: London
Employment Type: Regular
Job Code: A68938A
Responsibilities
- In charge of the growth of affiliate sales for the Home and Living categories.
- Ideate and launch affiliate projects for Home and Living categories to drive growth in creator led sales on the platform. This includes collaborating with the affiliate management team to incubate creators focused on H&L content and partnering with agencies to drive content up.
- Provide strategic recommendations by addressing key "where to play" and "how to win" questions, and design development roadmaps with clear milestones, performance targets, and resource plans.
- Conduct in depth analysis of creator data to identify trends, opportunities, and actionable insights. Perform both routine and ad hoc analyses to support business decisions - including merchandise tiering, creator matchmaking funnel optimisation, and other core growth drivers.
- Implement scaled creator operations strategy by using platform tools.
- Build and monitor the operational index; facilitate periodical business reviews and reports.
Qualifications
Minimum Qualifications
- Analytical, data driven, structured thinking and goal oriented; ability to articulate thesis and strategies independently.
- Quick learner, proactive and resilient. Ability to cope well under pressure and thrive in ambiguous environments.
- Strong attention to detail with the ability to make fast decisions; effective and creative problem solving skills.
- Ability to set priorities, multi task and work independently.
- Strong written and oral communication skills.
- A commercial mindset with a passion for delivering against stretching performance goals.
Preferred Qualifications
- Experience in social commerce or e commerce operations/strategy.
- Ability to influence others and be a resourceful problem solver.
- Experience working in a technology company or e commerce creator agency, preferably in operations role.
- Ability and desire to solve complex problems with data and quantitative analytical experience.