Role Overview
- 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.
Requirements
- 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
Tech Stack
- Android
- iOS
- Numpy
- Pandas
- Python
- SQL
- Tableau
Benefits
Relocation and Employment
**We offer remote work from anywhere in the world (our schedule is based on Dubai time though) and are happy to work out an individual relocation plan for you.**Our employees have the opportunity to choose a country for registration: at the moment those are Armenia, Georgia, Serbia, Poland, Spain.
**What you can expect
- 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.
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow, and meet their goals (whatever they may be).