Senior Marketing Data Analyst(m/w/x)

Beschreibung

In this role, you will take charge of marketing analytics, ensuring accurate performance measurement and insightful reporting. Your work will directly influence marketing efficiency and decision-making across various channels and teams.

Anforderungen

• •7+ years of experience in marketing or growth analytics for consumer apps or digital products, ideally subscription-based
• •Deep hands-on expertise in marketing measurement, including attribution models, incrementality, MMM concepts, cohort-based LTV analysis, and experimentation
• •Strong understanding of app and web tracking, including limitations, discrepancies, and common pitfalls
• •Advanced SQL skills and extensive experience working with marketing platforms and BI tools
• •Experience with MMPs such as Adjust or AppsFlyer
• •Experience working with CRM data and tools, including lifecycle and retention analysis
• •Strong statistical intuition and data storytelling skills
• •Comfortable operating autonomously and influencing senior stakeholders
• •Business-minded and outcome-oriented
• •Excellent communication skills in English
• •Experience in mobile subscription or freemium app environments
• •Proficiency in Python, R, or similar analytical environments
• •Experience working with modern data warehouses such as Snowflake or BigQuery
• •Exposure to building analytics foundations or scaling marketing analytics in fast-growing organizations

Aufgaben

• •Own performance and CRM analytics across channels
• •Ensure consistent implementation and reporting of marketing performance metrics
• •Build and maintain attribution frameworks and support predictive models
• •Identify and address inconsistencies in tracking and conversion logic
• •Design and evaluate experiments to measure channel incrementality
• •Partner with teams to shape testing roadmaps and interpret results
• •Build and evolve dashboards that inform decision-making
• •Translate complex analyses into actionable recommendations
• •Support planning and forecasting with various teams
• •Establish an insight-driven decision culture within the organization
• •Define best practices for marketing data pipelines and standards
• •Identify gaps in tooling and data quality, proposing solutions

Tools & Technologien

Benefits