70,000 to €90,000 (including bonus)+ Holiday + Benefit
Excellent opportunity to join a start-up in the entertainment and gaming sector, changing the way users consume content.
This company produces a platform that allows mobile games to be accessed by users while inspiring their loyalty through innovative features.
In this role, you will play a key role in building a reliable foundation for user acquisition data and help the UA team achieve company goals. This role involves validating and analyzing the results of user acquisition efforts and providing valuable insights to improve performance. This is a great opportunity for a data analyst to lead deep data analysis, identify growth opportunities, and ensure data accuracy.
The ideal candidate will be experienced in fast-paced B2C environments, ideally within the mobile apps sector. You will have experience using SQL and Python, data visualization tools including Looker, Metabase, and Tableau, and an in-depth understanding of digital marketing strategies. Technical knowledge of iOS and Android marketing analysis is also required to tailor strategies for both platforms.
This is a fantastic opportunity to own projects and work with a high degree of autonomy, creating the long-term strategy for the product.
The Role :
- Measure the performance of marketing campaigns, build ad hoc custom reports, and analyze anomalies and trends.
- Develop the SKAN measurement approach for Google, Facebook, and TikTok.
- Manage user LTV prediction tools, ensuring the LTV model's reliability and data accuracy.
- Research and revise the CPE targeting strategy for UA channels, and design the event implementation flow within our apps.
- Develop UA alerts and reports automation.
- Design and manage UA spend and revenue planning tools, and assist in setting goals for the UA team.
- Manage MMP tools (Adjust) and provide technical support and troubleshooting for the marketing team, specifically related to app attribution, event tracking, and callback implementations.
The Person :
- You have a Bachelor's degree in Marketing, Business, Statistics, Data Science, or a related field.
- 3+ years of experience in a similar role.
- You are proficient with data analysis tools and programming languages such as SQL, Python, and data visualization tools (Looker, Metabase, Tableau).
- You possess strong knowledge of app attribution tools used in mobile advertising and experience with major mobile marketing channels like Meta, Applovin, Google Ads, Unity, and other networks/DSPs.
- You have experience setting up and managing event tracking in mobile apps, especially with SKAN, Firebase, etc.
- You have an in-depth understanding of digital marketing strategies, including down funnel analysis, and technical knowledge of iOS and Android marketing analysis to tailor strategies for both platforms.