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Quantitative UX Researcher, (Insurance)

Design | Remote | Full Time

Job Description

JOB TYPE: Freelance, Contract Position - No agencies (See notes below)

LOCATION: Remote (TimeZone: BST, CST, EST)

HOURLY RANGE: Our client is looking to pay $120/hr- $150/hr USD / HR

ESTIMATED DURATION: 40Hrs/Week - Long Term, 6-month project, Contract to Hire


  • Quant case study

  • Comfortability w/ building relationships w/ different business units


Braintrust ( is a user-controlled talent network, where you keep 100% of what you earn and actually get to own the platform. We've been onboarding some big clients and specifically need a Quantitative UX Researcher for our client.  


Key Responsibilities

  • Work closely with UX, product, and business partners to align on specific and measurable KPIs, identify gaps, and establish processes for gathering the required data
  • Manage the collection, analysis, and reporting of data from multiple sources (e.g., intercept surveys, usage data, customer service feedback, etc.)
  • Use statistical modeling and analysis to identify trends and investigate issues
  • Build dashboard views and create visualizations that effectively summarize key insights
  • Leverage hard data to tell compelling stories in a clear, concise, and actionable manner to leaders
  • Collaborate with UX Research teammates who focus on qualitative research as well as experts in experimental design, behavioral science, data science, and other roles to conduct and share research
  • Act as a thought leader in quantitative UX research, identifying new opportunities to leverage quantitative insights while advocating for the people you study

Job Qualifications

Education and Experience 

  • 7 or more years of relevant experience within quantitative UX research or product analytics
  • Proven ability to translate data and customer feedback into actionable insights and opportunities
  • Experience synthesizing data from multiple sources to inform experience strategy and business decisions
  • Demonstrated expertise working with large data sets, multivariate statistics, and experimental design
  • Practical experience using tools like Excel, R, or Python, to perform and interpret basic statistical analyses
  • Bachelor’s degree or higher in the following is a plus: Human Factors, Human Computer Interaction (HCI), Data Science, Experimental Psychology, Information Science, Social Science, Economics, or related field

Functional Skills

  • Proficient in planning and executing all aspects of end-to-end quantitative research studies
  • Able to understand user behavior and extract meaningful patterns from large data sets
  • Creative problem solver who can develop novel ways to approach research questions when faced with challenging constraints
  • Strong interpersonal skills, with ability to quickly build rapport, establish credibility, and work collaboratively with peers, managers and stakeholders across disciplines and levels
  • Excellent communication, organization, and presentation skills
  • Able to train peers and broader team members in proper research techniques
  • Experience with analytics and survey software (e.g., Adobe Analytics, Qualtrics, etc.)
  • Comfort with programming languages used to manipulate data (e.g., SQL, Python)
  • Organized and able to manage personal, team and project timetables


Qualified candidates will be invited to do a screening interview with the Braintrust staff. We will answer your questions about the project, and our platform.  If we determine it is the right fit for both parties, we'll invite you to join the platform and create a profile to apply directly for this project.  

C2C Candidates: This role is not available to C2C candidates working with an agency. If you are a professional contractor who has created an LLC/corp around their consulting practice, this is well aligned with Braintrust and we’d welcome your application.  

Braintrust values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.