Data-driven Conversion Rate Optimization leader focusing on experimentation and funnel analysis. Identifying opportunities to increase conversion rates, revenue per visitor across web and mobile platforms.
Responsibilities
Identify user journey improvement opportunities across web and mobile experiences.
Develop clear, data-backed hypotheses and design A/B and multivariate experiments.
Prioritize testing roadmap based on projected impact, effort, and business objectives.
Analyze experiment results using sound statistical methods and clearly communicate insights and recommendations to stakeholders.
Audit end-to-end customer journeys to identify friction points and revenue leakage.
Quantify and diagnose drop-off across key funnel stages including onboarding, product discovery, cart, and checkout.
Conduct competitive and market analysis to inform feature enhancements and journey improvements.
Partner with product and UX to implement optimizations that improve conversion and customer experience.
Develop and maintain dashboards tracking core KPIs including CVR, RPV, AOV, and funnel progression.
Analyze behavioral data, segmentation insights, and qualitative feedback to inform experimentation strategy.
Translate analytical findings into structured, testable initiatives aligned to revenue impact.
Partner closely with Product, Marketing, Design, and Engineering to execute testing initiatives.
Support and promote a culture of experimentation by sharing learnings, best practices, and measurable outcomes across teams.
Requirements
4–8 years of experience in conversion rate optimization, growth, digital product optimization, or related performance marketing roles, ideally within eCommerce or mobile environments.
Strong analytical foundation with hands-on experience designing, launching, and analyzing A/B and multivariate tests.
Demonstrated success improving conversion rate, revenue per visitor, average order value, or other core performance metrics.
Proficiency with experimentation platforms (e.g., Optimizely, VWO, Adobe Target) and analytics tools (e.g., GA4, Amplitude, Mixpanel).
Bachelor’s degree in business, Marketing, Economics, Statistics, Data Science, Computer Science, Engineering, or a related quantitative field required, MBA or master’s degree in Analytics, Statistics, or related field a plus.
Experience optimizing high-traffic eCommerce websites or mobile applications preferred.
Exposure to UX research methodologies and ability to translate insights into testable hypotheses preferred.
Background in statistics, behavioral economics, or data modeling preferred.
Familiarity with personalization strategies, segmentation, and AI-driven optimization techniques preferred.
Benefits
Health, Dental, and Vision Insurance
Life Insurance
Pet Insurance
Mental Health Benefits
401(k) with matching
Excellent Work/Life Balance – Paid Time Off, Sick Days, Paid Holidays, and Floating Holidays
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