Remote Research Assistant Weekend Jobs in Santa Rosa, CA

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.

If based in the Bay Area, this role requires occasional in-office presence.

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

Basic Qualifications 

• 4-7 years of experience in quantitative research, consumer insights, market research, or applied analytics
• Strong foundation in statistical methods (e.g., hypothesis testing, regression, cluster analysis, bootstrapping, effect size measurement)
• Proficiency with survey platforms (e.g., Qualtrics) and statistical tools (e.g., R, Python, SPSS)
• 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 (e.g., conjoint, Van Westendorp)
• Background in e-commerce, DTC, retail, or consumer products
• Experience with digital analytics platforms (e.g., ContentSquare, Google Analytics)
• Bay Area-based candidates are preferred!

• Annual bonus program
• 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
• Life, AD&D, and disability coverage (with optional add-ons)
• 401(k) with up to 4% match
• Comprehensive wellbeing programs (mental, physical, emotional support)
• Lifestyle Spending Account (wellbeing + learning)
• Work-from-home stipend (for eligible roles)
• FTO (Flex Time Off) in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
• Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
• Family forming & fertility support and services through Maven
• Annual Zenni Gift Card - to use towards our products!

In addition to other forms of compensation, such as perks and benefits, the estimated salary range for this role is $108,600 - $135,700 for candidates outside of California. For California-based candidates, the estimated salary range is $119,460 - $149,270. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

(U.S. ONLY) Please note: While we prefer Bay Area-based candidates, we are registered in some, but not all, states. If you are located full-time in one of the following states, we welcome you to apply: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Iowa, Kansas, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Texas, Utah, Virginia.
#LI-REMOTE