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Senior Quantitative User Researcher
Design Team | San Francisco, CA
Dropbox is looking for people with quantitative research skills to work with multidisciplinary teams (product, design, marketing, engineering, analytics) to find insights and answer questions about users. In this role, on Team Insights with qualitative researchers, you’ll discover and validate insights through data and stories in a way that generates empathy and understanding. Further, you will support our team’s continued quest to develop mix-method research approaches to innovate on common research practices.
Responsibilities
- Independently design and manage quantitative research projects from start to finish.
- Survey design and data analysis.
- Experiment design and analysis.
- Develop nimble and robust research approaches and tailor them to the needs of our fast paced research projects and experiments (growth, churn, engagement, discovering use cases, investigating and exploring, tracking metrics, and similar).
- Collaborate with: Product and Design, Qualitative Researchers, Vendors and Partners, Marketing, User Operations, Analytics, Data Science teams.
- Leverage existing behavioral use data, prior research, other data to inform research.
- Ask questions, propose new methods and vendors, to improve our research approaches.
- Mentor and train other researchers.
- Support multiple projects at any time.
- Be flexible in accommodating teams’ work plans and schedules.
- Help teams, across the company, better understand (and develop empathy for) our customers and users.
Requirements
- 5+ years of experience with both quantitative and qualitative research methods, ideally in an integrated way for web and mobile and desktop products.
- Degree in Statistics, Economics, Social Science, Computer Science, HCI, or have other relevant training and experience in research and data analysis methods.
- Research experience including experiment and survey design and analysis, behavioral data analysis and other quantitative techniques for different markets and industries.
- Experience with data and analysis tools (SQL, Hive, SPSS, SAS, R, or others).
- Experience with large scale datasets.
- Experimented with new research methodologies.
- Demonstrated ability to communicate research or analysis findings/insights to any team.
- Enjoy working in a fast paced environment, innovating and improvising research to fit the need, answer the questions, discover the insights, without sacrificing quality.
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