ABOUT WEVO

WEVO is a fast-growing, venture-backed startup located in Boston. Our platform leverages high-volume user feedback and human-augmented AI to deliver deep insights, enabling UX, product, and marketing teams to craft superior experiences efficiently. With major new clients on board, we're expanding our team to meet growth targets and support upcoming funding.

Be part of a world-class research team within a rapidly growing tech startup, where your contributions will have a significant impact. If you are passionate about research and eager to apply your skills in a dynamic environment, we want to hear from you. While WEVO is based in Boston, MA, this role can be performed from anywhere, offering the flexibility to work from your preferred location.

JOB SUMMARY

As a Part-Time UX Research Analyst at WEVO, you’ll analyze a mix of qualitative and quantitative data to deliver high-quality insights. This flexible role lets you apply your research skills, directly impacting clients' customer experience strategies.

RESPONSIBILITIES

  • Data Cleaning: Conducting quality checks on data to ensure it meets established standards and is suitable for analysis.
  • Derive Insights: Analyze quantitative, qualitative data, and demographic/firmographic data, applying your research experience to connect data points, offering nuanced insights and actionable findings for our customers to address their study goals.
  • Communication: Use your strong written communication skills to effectively convey the story behind the data, ensuring insights are accessible and impactful.

SKILLS AND QUALIFICATIONS

  • Experience: Previous experience in UX research, usability testing, or related fields is required.
  • Research Expertise: Strong working knowledge of consumer experience research, qualitative data analysis, as well as research methodologies, with a track record of generating insights from diverse data types.
  • Clear and Compelling Writing: Demonstrated ability to produce clear, concise, and compelling research reports and content.
  • Data Synthesis: Skilled in integrating and synthesizing data from multiple sources and in the ability to derive common themes, in order to draw comprehensive insights.
  • Independent and Self-Motivated: Proactive and self-directed, capable of identifying needs and taking initiative without extensive oversight.