Collaborate with Performance Marketing team to deliver personalized content and to manage tracking and measurement of campaigns across multiple platforms.
Analyze campaign performance data to provide actionable insights and recommendations for optimization.
Implement and maintain in-house attribution models to unveil the impact of various touchpoints in the customer journey.
Monitor and detect digital marketing ad fraud and take proactive measures to prevent fraudulent activity.
Develop and maintain dashboards and reports to visualize key performance metrics and communicate findings to stakeholders.
Conduct in-depth data analysis using SQL to uncover trends, patterns, and opportunities.
Work closely with cross-functional teams to ensure data integrity and consistency.
Stay up-to-date with industry trends and best practices in digital marketing analytics and fraud prevention.
Qualifications:
Proven experience (5+ years) in Digital Marketing Analytics or similar areas.
Over 3 years experience working with SQL at an intermediate/advanced level. Intermediate level Python programming is a plus.
Solid understanding of marketing measurement techniques and experience in building attribution models.
Experience in analyzing digital marketing ad fraud and working with fraud prevention tools provided by MMPs, such as Appsflyer Protect360.
Good understanding of digital advertising platforms, including but not limited to Meta, Google, Apple Search Ads, TikTok, Snapchat, and Twitter.
Strong analytical and problem-solving abilities.
Effective communication skills and the ability to present complex data in a clear and actionable manner.
Excellent data visualization skills using tools like Looker, Tableau, or similar.
Detail-oriented with a commitment to data accuracy and quality.
