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UX Researcher - Global E-Commerce - LATAM Market (US)

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Skills

Required

  • UX research
  • Marketing Research
  • usability studies
  • remote/in lab
  • focus groups

Preferred

  • SQL
  • Python
  • SPSS

Responsibilities

  • Work closely with cross-functional leads to deeply understand the needs of e-Commerce consumers, merchants, and influencers in the Latin America market and other global markets;
  • Collaborate with stakeholders to identify the key research questions that will help shape the e-Commerce product strategy in different markets;
  • Identify and create the best research methods based on the question, timeline, and resourcing;
  • Design and implement research, synthesize findings into practical and impactful insights to help stakeholders make decisions;
  • Measure and track how product changes affect user behaviors and attitudes over time across different markets, reveal the key reasons with solid data rationale;
  • Initiate foundational research and gather insights from relevant industries to help stakeholders explore the possible solutions to challenging long-term product questions.

Requirements

  • Minimum 1 year of experience in UX research.
  • Bachelor's degree or above in Psychology, Statistics, Sociology, Marketing Research, Economics, International Trade, or other related fields.
  • Experience and/or knowledge in both qualitative and quantitative research methods, such as: usability studies (remote/in lab), focus groups, interviews, concept tests, diary studies, surveys, data analysis, A/B testing, etc. Be able to conduct interviews/design questionnaires in the US.

Preferred

  • Prior experience in the E-commerce/tech industry.
  • Ability to work independently with limited supervision and take initiative to solve problems and learn new things; travel to Latin America for 2 to 3 weeks per quarter for business purposes.
  • Ability to manage multiple projects at the same time in a fast-paced environment.
  • Great written and spoken communication skills to influence product partners and major company decisions.
  • Ability to analyze large sample data with statistical tools, such as SQL, Python, R, SPSS.