About This Role
This role involves optimizing clients' digital journeys through behavioral analysis, A/B testing, personalization, and e-merchandising. The CRO Specialist will join the Data Marketing practice to strengthen the CRO, Experiment & E-merchandising stream, working on conversion performance and contributing to stream development.
Responsibilities
- Analyze user journeys and conversion funnels using audience measurement tools
- Utilize behavioral data (heatmaps, session replays, zone analyses) to understand usage patterns
- Identify friction points and opportunities for improving user experience
- Transform navigation and behavioral analyses into actionable recommendations
- Build and prioritize the optimization roadmap (hypotheses, expected impact, effort)
- Design A/B tests: hypothesis, protocol, success criteria
- Lead presentations and workshops with business, product, and UX teams
- Monitor the implementation of optimizations and measure their results
- Share CRO best practices and empower teams to become autonomous
- Contribute to defining conversion indicators and their measurement framework
- Build and maintain monitoring dashboards
- Contribute to the work of Elevate's CRO, Experiment & E-merchandising stream (methods, feedback, pre-sales)
Requirements
- Master's degree from a business school, engineering school, or specialized master's in digital marketing, data, or statistics
- Significant experience in Web Analytics and CRO, in a consulting firm, agency, or advertiser
- 3 to 5 years of experience
- Analytical mindset and ability to transform data into concrete recommendations
- Autonomy and results-orientation
- Strong interpersonal skills with business, product, and UX stakeholders
- Mastery of Web Analytics fundamentals: tagging plan, KPIs, funnel analysis
- Mastery of at least one audience measurement tool: GA4, Adobe Analytics, or Piano Analytics
- Experience with a UX analysis tool: Contentsquare, Hotjar, or equivalent
- Experience with an A/B testing tool (AB Tasty, Kameleoon, Optimizely) and associated statistical basics (significance, sample size)
Nice to have:
- Knowledge of SQL and a dataviz tool (Looker Studio, Tableau)
Benefits
- Flexible remote work policy based on choice
- Offices in Paris
- Supplementary health insurance with Alan
- Swile card for restaurant vouchers (€10 per day)
- Reimbursement of 50% of public transport costs
- Employee savings plan with Epsor
