MARKETING ANALYTICS & DATA SCIENCE ANALYST (M/F)

Turn marketing investments into measurable business growth.

At Aircash, marketing is driven by data. Every campaign - whether it's digital advertising, influencer collaborations, cashback promotions, prize contests or Mastercard activations - is an investment. We are looking for someone who can precisely measure the business impact of these investments and help us continuously optimize where and how we spend every euro.

This role sits within the Sales & Marketing division and is responsible for evaluating the effectiveness of marketing campaigns across all Aircash markets. The focus is not on campaign execution, but on understanding what truly drives customer growth and business performance.

Your Responsibilities

• Analyze the effectiveness of all Aircash marketing campaigns, including brand campaigns, user promotions and Aircash Mastercard campaigns
• Measure campaign impact on key business KPIs such as transaction volume, number of transactions, new users, user retention, customer reactivation and revenue
• Distinguish campaign-driven growth from organic growth and quantify the incremental contribution of individual campaigns and channels
• Identify external factors affecting business performance, such as seasonality, holidays, weekends, sporting events and other market dynamics
• Develop analytical models and provide clear recommendations that improve future marketing investment decisions
• Work closely with Sales, Marketing, CRM, BI, Product and Data Science teams, using AI agents where appropriate to accelerate analysis and insight generation

What We're Looking For

• University degree in Mathematics, Engineering, Physics, Computer Science, Statistics or another highly quantitative discipline
• Minimum 3 years of experience in marketing analytics, sales analytics, quantitative modelling or a similar analytical role
• Strong understanding of statistical analysis and mathematical modelling
• Experience analysing marketing and sales performance using both time-domain and frequency-domain analytical techniques
• Practical knowledge of signal-processing methods, including Fast Fourier Transform (FFT), spectrograms and frequency analysis, with the ability to apply these techniques to business and customer behaviour data
• Familiarity with causal inference, incrementality measurement, attribution modelling, A/B testing and forecasting is considered an advantage
• Openness to adopting AI agents and modern analytical tools as part of everyday analytical work
• Ability to communicate complex analytical findings in a clear and business-oriented manner

You'll thrive in this role if you enjoy answering questions such as

• How much of our growth was actually generated by marketing?
• Which campaigns genuinely attracted new users?
• Which activities reactivated dormant customers?
• What proportion of growth was organic?
• Which marketing channel delivered the highest incremental ROI?
• How did external factors such as holidays, sporting events or seasonality influence campaign performance?
• How should future marketing budgets be allocated to maximize business impact?

If you are passionate about mathematics, data, experimentation and uncovering the true drivers of business growth, we'd love to meet you.