Senior Marketing Analyst, Marketing Analytics

What you will be doing

• Act as an analytical partner to the Head of Marketing and Performance Marketing leads, challenging plans and shaping data-backed channel mix and budget decisions, including evaluation of customer acquisition cost, customer spending forecast, and finding an optimal mix of marketing channels;
• Own the mobile attribution framework across paid and organic channels, including setup, maintenance and quality control in tools like AppsFlyer, Adjust, etc.
• Design, run and analyse experiments to measure incrementality, including holdout tests, geo experiments and conversion lift studies, and translate results into clear, actionable recommendations.
• Generate hypothesis, conduct research and A/B tests, and present your findings clearly and compellingly to highlight the importance of your insights
• Measure the impact of offline and upper-funnel campaigns (OOH, TV, radio, etc.) on app installs, sign-ups, branded search and other performance metrics using appropriate analytical approaches.
• Support and monitor existing performance marketing metrics, identify areas for improvement, and develop new metrics that inform decision-making across the organization.
• Develop data visualizations and reports that are informative and easily understood by business and product teams.
• Own the necessary data flows in collaboration with the Data Engineering team, from defining requirements to validating data quality.

What you will need

• Minimum of 3 years of work experience as a data/marketing analyst.
• Deep hands-on experience with mobile attribution tools such as AppsFlyer, Adjust or similar, and troubleshooting.
• Solid understanding of iOS and Android attribution flows, including SKAN, ATT consent, deferred deep links and in-app event tracking.
• Proficiency in SQL and relational databases.
• Proficiency in data visualization tools, particularly Tableau.
• Proficiency in digital marketing platforms from Meta and Google;
• Knowledge of Python (Pandas, Numpy, Statsmodels, Matplotlib, etc.) is a plus.
• Experience in designing and conducting A/B tests is a plus.
• Experience with LTV forecasting and cohort-based revenue modelling is a strong plus.
• Strong quantitative skills and a structured approach to problem-solving. Ability to analyze issues, identify root causes, and recommend solutions.
• Fluent English level

Job Benefits

• We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
• A working environment that gives you autonomy and responsibility from day one.
• You should be comfortable with the idea that the quality of your work will influence the shape of your career.
• Participation in the company’s employee stock options program.