3 weeks ago

Lead Analytics & CRO

Travix

Amsterdam

3 weeks ago

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Travix is seeking a Lead Analytics & CRO to lead a team of 3-4 specialists in Amsterdam. The role focuses on data analytics, user experience, and business strategy to maximize customer lifetime value through experimentation and optimization. Requires at least 8 years of ecommerce experience and strong technical skills in analytics and experimentation tools.

HybridFull-timeSeniorGA4GTM

Lead Analytics & CRO

Apply

HybridFull-timeSeniorGA4

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid work where each team aligns on their minimum number of days in office

Experience Required

8 years

Employment Type

Full-time

Experience Level

Minimum 8 years of relevant experience

Core Qualifications

Technical (Must-have)

GA4GTMBigQuerySQLOptimizelyUMM’sData analysisData visualizationExperimentationUX principlesConversion optimizationOnsite personalizationStatistical methodologiesMachine Learning

Soft Skills

LeadershipCollaborationCommunicationCommercial fluencyStakeholder managementGrowth mindsetEmpathyWritten communication

Key Responsibilities

•Lead a team of 3-4 specialists with high visibility and commercial impact, fostering a collaborative culture and actively developing the technical and professional growth of your analysts
•Partner with commercial and product teams democratizing data and pro-actively support them in further optimization to attract, convert, retain and maximize the value of existing customers.
•Serve as the point of contact for the delivery of analytics and insights. Develop and maintain measurement plans, dashboards, and reports.
•Analyze the full user journey to identify friction points and define hands-on improvements that drive measurable conversion and margin uplift.
•Together with the UX team you amplify your findings with qualitative research to understand the "why" behind the "what"
•Create detailed analysis of customer behavior with recommendations for optimization.
•Own the experimentation process end-to-end. From ideation, to hypothesis, prioritization, execution, evaluation and iteration / implementation.
•Build and manage a best in class experimentation stack, onboarding of new tools, help the team, our experimentation program and web analytics to evolve and become more mature; onboarding frameworks, maturity roadmaps, documentation standards and build a test-library.
•Translate technical and statistical work; experiment results, behavioral analyses, correlation studies into recommendations different audiences can act on, from raw stats to executive-ready summaries. Create a structured path from descriptive to prescriptive.

AnalyticsCROTravelEcommerceExperimentationData ScienceUXLeadershipAmsterdamFull-time

Core Qualifications

Technical (Must-have)

GA4GTMBigQuerySQLOptimizelyUMM’sData analysisData visualizationExperimentationUX principlesConversion optimizationOnsite personalizationStatistical methodologiesMachine Learning

Soft Skills

LeadershipCollaborationCommunicationCommercial fluencyStakeholder managementGrowth mindsetEmpathyWritten communication

Key Responsibilities

•Lead a team of 3-4 specialists with high visibility and commercial impact, fostering a collaborative culture and actively developing the technical and professional growth of your analysts

•Partner with commercial and product teams democratizing data and pro-actively support them in further optimization to attract, convert, retain and maximize the value of existing customers.

•Serve as the point of contact for the delivery of analytics and insights. Develop and maintain measurement plans, dashboards, and reports.

•Analyze the full user journey to identify friction points and define hands-on improvements that drive measurable conversion and margin uplift.

•Together with the UX team you amplify your findings with qualitative research to understand the "why" behind the "what"

•Create detailed analysis of customer behavior with recommendations for optimization.

•Own the experimentation process end-to-end. From ideation, to hypothesis, prioritization, execution, evaluation and iteration / implementation.

•Build and manage a best in class experimentation stack, onboarding of new tools, help the team, our experimentation program and web analytics to evolve and become more mature; onboarding frameworks, maturity roadmaps, documentation standards and build a test-library.

•Translate technical and statistical work; experiment results, behavioral analyses, correlation studies into recommendations different audiences can act on, from raw stats to executive-ready summaries. Create a structured path from descriptive to prescriptive.