Senior Marketing Data AnalystDepartment: Data
Employment Type: Full Time
Location: Barcelona
Reporting To: Rory O'Driscoll
DescriptionAre you passionate about working at the intersection of marketing and data analysis? Ready to drive impactful decisions through robust data insights? Would you like to join a company whose mission revolves around data-driven strategies?
We are a team of seasoned professionals, including data engineers, DataOps experts, data scientists, and fellow data analysts located across Europe. Join us and help bring AirHelp to the next level of data maturity.
What you'll do: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. Ideally, you'll bring with you:(Disclaimer: We understand that you may not tick every box. But if you are excited about the idea of joining AirHelp, we'd love to hear from you anyway).
Degree in quantitative sciences (mathematics, engineering, statistics, physics) or equivalent.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.Knowledge of SQL-like languages.Experience in developing appealing visualizations in commercial BI tools (Looker, Tableau, or similar).Willingness to cover end-to-end the data lifecycle, from raw data to insights.Fluency in English (both written and spoken).
Nice to have: Knowledge of Python for data analysis (NumPy, Pandas, Matplotlib, etc.).Knowledge of data modeling and best practices related to analytical databases. Perks and benefits:Internal training programs and knowledge-sharing events.Personalized progression plan.Access to mindfulness and wellbeing platform (Mindgram).Language classes.Flexible benefits: gym membership, personal education, childcare, public transportation or leisure travel subsidy.Health insurance.Lunch vouchers.MacBook Air.Unlimited, free use of AirHelp's services.Work from anywhere for 4 weeks a year.Annual travel allowance.Team days.Events and parties.
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