Quantitative Researcher, Longitudinal Programs

3 weeks ago

Canada Uiuxtrend Full time

As a Quantitative Researcher, you will partner with product, design, marketing, and Go-To-Market teams to lead, and run research programs that drive customer insights for the Stripe product and lifecycle experiences. We’re looking for a researcher with deep data sense to help us instrument sentiment programs and weave data together to give deeper insight into the Stripe experience.

[elementor-template id="6192"] Responsibilities
  • Conduct quantitative research studies in partnership with other researchers using methods such as survey research and behavioral/log data analysis that deepen our understanding of the user experience and drive product strategy
  • Help build the research systems, platforms, and reporting to scale Research measurement programs
  • Lead longitudinal sentiment programs (CSAT, dev sentiment, etc) and disseminate research insights to evolve and enhance Stripe’s understanding of user needs and identify innovative opportunities to meet those needs
  • Build close partnerships with Product, Engineering, Data Science, and Marketing leaders to build the infrastructure for ongoing tracking and ad-hoc survey research
  • Prioritize research needs and approaches across multiple work streams to work on the right project, scale, and scope at the right time and ensure impact by delivering actionable insights
[elementor-template id="6192"] Minimum Requirements
  • Has 3+ years of relevant research experience working on digital experiences and generating actionable insights that drive impact
  • Has a desire to do hands-on research, support research data infrastructure, build reporting and dashboards, and work on an early-stage team, from planning and sampling to analysis and insights delivery
  • Can conduct complex quantitative research at scale and demonstrate the use of a variety of research methods (longitudinal programs, A/B testing, trigger-based automated surveys)
  • Has experience working with large-scale data
  • Proficiency in SQL and comfortable programming in R or Python. Have experience analyzing complex data and building statistical models
  • Can distill research findings into clear, and compelling data-backed presentations, data visualizations, and/or infographics
[elementor-template id="6192"] Preferred Qualifications
  • You’re a mixed-methods researcher with strength in quantitative research
  • Technical background or experience with developer-focused research
  • Experience building or scaling research platforms, systems, or programs in a complex corporate setting
  • Ability to tell compelling stories with data and are skilled in explaining your work, process, and decisions to cross-functional stakeholders. You crave feedback to help you produce your best work
  • Relentless user focus and solving for their needs and wants. You put users first and have experience driving impact from insights
  • Can balance working with urgency and focus with methodological rigor and adapt as needed
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