Research & Insights Analyst
Zenni Optical · United States · 3 mo ago
RemoteRemoteResearch$109k–$136k/yrFull-time
About the role
Zenni’s Research Team is looking for a Research & Insights Analyst to be the team’s dedicated analytical specialist. You will own the quantitative methods, statistical rigor, and data-driven insights that inform decision-making across the organization — from audience strategy to product development and marketing. This role reports to the Sr. Director, Product Marketing & Research and partners cross-functionally with Data Engineering, AI/ML, Marketing, Product, Brand, Merchandising, CRM, and the Executive Team.
Responsibilities
- Conduct quantitative consumer research, e.g., design surveys, AB testing, develop sampling strategies, and conduct statistical analyses that drive strategic decisions
- Own audience segmentation and persona development, including data modeling, behavioral clustering, and ongoing validation
- Conduct pricing, revenue, and product performance analytics to highlight opportunities for growth
- Translate and present complex data into clear, actionable insights and recommendations for both technical and non-technical stakeholders
- Serve as the team’s methodological authority on all quantitative research, ensuring rigor, validity, and reproducibility
- Collaborate with Data Engineering, AI/ML, Paid Marketing and Finance to connect research insights with internal datasets to identify research topics
- Contribute to the team’s research roadmap and support cross-functional ad hoc requests
Qualifications
- Basic Qualifications: 4–7 years of experience in quantitative research, consumer insights, market research, or applied analytics; strong foundation in statistical methods; proficiency with survey platforms and statistical tools; ability to communicate quantitative findings clearly to non-technical audiences; Bachelor’s degree in a quantitative discipline; Master’s or PhD preferred
- Preferred Qualifications: Experience with audience segmentation or persona development at scale; familiarity with pricing research methodologies; background in e-commerce, DTC, retail, or consumer products; experience with digital analytics platforms; Bay Area-based candidates are preferred!