• Proven experience in a similar role in a fast-paced environment
• Degree in quantitative sciences (mathematics, engineering, statistics, physics, or similar fields) or an equivalent
• Proven experience in analyzing and reporting marketing campaigns across various channels (paid search, social media, SEO, email, and affiliate marketing)
• Understanding of digital marketing technologies, such as Google Analytics, Google Marketing Platforms, ad managers (Bing, Google, Facebook, Twitter, TikTok), and CRM platforms
• Strong knowledge in SQL-like languages
• Good experience in developing appealing visualizations in commercial BI tools (Looker, Tableau, or similar)
• Proactivity and willingness to cover end-to-end the data lifecycle, from raw data to insights
• Strong analytical skills with experience in data-driven decision-making
• Excellent spoken and written English

Desirable

• Reporting To: Rory O'Driscoll
• You will be working with a seasoned and highly motivated, multicultural team of data engineers, DataOps, data scientists, and data analysts spread across Europe
• You will have the challenge of supporting business needs in a fast-changing environment and helping AirHelp reach the next level of data maturity
• You will tightly work with the marketing team on developing relevant data models and generating valuable insights to boost our product portfolio
• You will also be in charge of conducting advanced analysis through storytelling, developing appealing visualizations, and creating dashboards for relevant business stakeholders in the area
• Collaborate with marketing teams to identify opportunities for optimization and growth, and develop data-driven strategies to improve performance
• Collect, analyze, and interpret data related to marketing campaigns, website traffic, customer behavior, customer journey, conversion funnel performance, and other relevant marketing analysis
• Support marketing budget allocation through a deep understanding of marketing mix models, multi-touchpoint attribution, etc
• Partner with data engineers to redesign, implement, and monitor data models and data pipelines
• Develop and maintain marketing dashboards and visualizations to communicate key insights and recommend a course of action to the marketing team