About The Position

The Senior Marketing Analyst will work with our marketing team and help us evaluate marketing efficiency and find the best way to acquire new and reactivate existing users. You'll collaborate closely with Analysts, Marketing, and Product teams.

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.
  • Strong quantitative skills and a structured approach to problem-solving.
  • Ability to analyze issues, identify root causes, and recommend solutions.
  • Fluent English level.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • Relocation and Employment
  • Remote work from anywhere in the world
  • Individual relocation plan
  • Option to choose a country for registration (Armenia, Georgia, Serbia, Poland, Spain)
  • Flexible working hours
  • Autonomy and responsibility from day one
  • Participation in the company’s employee stock options program
  • Inclusive, high-performing workplace
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