Online Marketing Analytics Manager (AI)

TL;DR

Online Marketing Analytics Manager (AI): Leading online marketing analytics and reporting for a global travel subscription platform with an accent on data-driven strategy, predictive modeling, experimentation, and intelligent automation. Focus on translating complex business questions into actionable insights, applying statistical methods and AI to marketing problems, and mentoring an analytics team.

Location: Barcelona, Spain; hybrid home-office model

Company

hirify.global operates a global travel subscription platform powered by proprietary AI and a portfolio of travel brands.

What you will do

• Define and execute the analytics and reporting strategy for online marketing campaigns.
• Drive the adoption of AI, predictive modeling, and intelligent automation across the marketing analytics ecosystem.
• Design, track, and analyze experiments to develop a continuous test-and-learn agenda.
• Lead, coach, and develop a team of marketing analysts.
• Extract, manipulate, and model data from diverse sources using SQL, Python, or R.
• Report campaign performance and strategic insights to senior management while collaborating with stakeholders.

Requirements

• Degree in statistics, mathematics, physics, computer science, engineering, or another quantitative or technical field.
• Professional experience in digital marketing analytics, including experience mentoring or managing analysts.
• Strong SQL skills and experience with Python, R, or similar programming languages for data manipulation and statistical analysis.
• Experience building dashboards with Looker Studio, Tableau, Power BI, or similar data visualization tools.
• Knowledge of statistical techniques, confidence intervals, hypothesis testing, and A/B testing.
• Fluent English in written and verbal communication required.

Nice to have

• Experience with digital marketing and marketing/ad-tech ecosystems, including tracking, conversion funnels, and marketing KPIs.
• Familiarity with agile or lean frameworks.
• Exposure to Marketing Mix Modeling, causal inference, or multi-touch attribution.
• Experience applying machine learning or AI to marketing problems such as customer lifetime value, churn prediction, or automated insights.

Culture & Benefits

• Full-time employment with a competitive compensation and benefits package, performance-based bonuses, flexible benefits, discounts, and partnerships.
• Hybrid home-office work focused on outcomes, with flexibility supporting work-life balance.
• Relocation support and premium role-based equipment options.
• Learning and development through Coursera, workshops, technical training, leadership development, onboarding, and personalized career paths.
• Agile, diverse, open, and collaborative environment with employee events, communities, and office refreshments.