Marketing Data Analyst/Scientist (SEM Focus)

About the role

Ferryscanner is looking for an experienced Marketing Data Analyst/Scientist to turn complex data into actionable insights that drive paid-search performance and smarter marketing investment decisions.

Key responsibilities

• Analyse SEM and paid-search performance across campaigns, markets, products and other dimensions.
• Partner with SEM Specialists to identify trends, inefficiencies and optimisation opportunities.
• Extract, transform and analyse large datasets using SQL and BigQuery.
• Combine GA4 data with advertising and business data to understand customer behaviour.
• Build and maintain dashboards and reports that provide clear visibility into key SEM KPIs.
• Develop forecasts and analytical models to support budget planning.
• Investigate performance fluctuations and pinpoint drivers behind metric changes.
• Support experimentation, performance testing and translate analysis into actionable recommendations.

Required profile

• At least 4 years of experience as a Data Analyst, Marketing Analyst or similar role, preferably in a performance-driven, product-led, travel or consumer-tech environment.
• Strong SQL skills with hands-on experience analysing large datasets.
• Good understanding of SEM/PPC, paid acquisition and digital-marketing metrics.
• Experience analysing Google Ads or other paid-search data and working with Google Analytics 4.
• Proven ability to build dashboards and reports using Looker Studio, Power BI, Tableau or equivalent.

Required skills

• SQL
• BigQuery
• Google Analytics 4 (GA4)
• Looker Studio
• Power BI
• Tableau

What we offer

• Opportunity to shape and scale Ferryscanner’s data platform and AI foundations.
• High-impact role with direct influence on SEM performance and marketing investment.
• Collaborative, cross-functional environment spanning Engineering, Product, Analytics and Business teams.
• International team, continuous learning and exposure to cutting-edge data and AI technologies.
• Hybrid working model and additional annual leave days.