Responsibilities
- Extract and analyse web behavior data from multiple platforms (Adobe Analytics, Adobe Target, GA4, ContentSquare, Qualtrics, Adoreboard, among others).
- Identify user problems, trends, and anomalies to generate actionable insights and experiment hypotheses.
- Study how analytics tags / events are implemented in various areas of a website to identify measurement gaps and produce relevant recommendations.
- Consult with product teams to recommend digital measurement for upcoming product features.
- Collaborate with cross-functional teams to translate data findings into strategic recommendations.
- Design dashboards and reports to communicate insights to technical and non-technical stakeholders.
- Plan and document experiments end-to-end, including: targeted pages & audiences, metrics, design briefs, development briefs, content brief, QA brief, analytics briefs, test duration etc.
- Work with multi-disciplined teams (designers, developers, QA testers...) on the end-to-end implementation of experiments in Adobe Target.
- Be an expert in Adobe Target, with knowledge about audiences, pages, KPIs and advanced features (ML recommendations, Automated personalisation, Visitor profile attributes, Profile scripts...)
- Use Adobe Analytics and ContentSquare to report on experiment performance and provide clear recommendations and learnings.
- Plan and conduct workshops with stakeholders, for example to ideate solutions to user problems
Requirements
- 6-8 years in web analytics and or CRO roles
- Proficiency with Optimisation platforms (Adobe Target, Optimizely, AB tasty, Kameleoon etc)
- Proficiency with web analytics platforms (Adobe Analytics, GA4, ContentSquare, Hotjar, Qualtrics, Similarweb, Fullstory...)
- Familiarity with how Tag Management platforms work (Google Tag Manager, Adobe Launch, Tealium...)
- Hands-on experience designing dashboards (e.g. Looker Studio, Adobe Analytics, PowerBI...)
- Strong data literacy, ability to communicate compelling stories with data.
- Analytical rigour and awareness of risk in data interpretation, especially in the context of A/B testing.
- An interest in working with product teams on shaping remarkable digital experiences
- Familiarity with agile development and collaborative delivery across distributed teams.
- Strong problem-solving skills and ability to translate business goals into measurable optimisation activities.
- Comfortable working in a large, complex international organisation.
- Ability to coach and guide junior analysts.
- Excellent communication skills in English and Spanish.
Nice to Have
- Experienced in Agile methodologies and consulting
Benefits
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
Work Arrangement
Hybrid
Team
Structure: large Data practice spanning all European markets, with teams of experts across fields such as data engineering, AI, web analytics, experimentation, data strategy, martech and more.
Additional Information
- Willingness to travel quarterly to Brussels for workshops and collaboration sessions.
