Senior Marketing Data Analyst
ZyngaSocial and company
Barcelona, SpainSenior
Kleiner Perkins
Andreessen Horowitz
Benchmark
Union Square Ventures
Foundry Group
Avalon Ventures
Data & AI
About the role
TL;DR
Analyze marketing performance, build data pipelines, and create tools to drive data-driven decisions.
- •We are looking for a Senior Marketing Data Analyst to join our Marketing Analytics team.
- •You will be responsible for designing and driving high-impact analytics solutions, from developing advanced statistical frameworks to building data pipelines and creating interactive tools.
- •Key Responsibilities Partner closely with marketing and cross-functional teams to identify growth opportunities and shape strategic initiatives.
- •Lead analytical deep dives to surface insights and translate them into actionable recommendations.
- •Visualize and communicate analytical findings clearly to enable data-driven decision-making.
- •Apply statistical methodologies to evaluate performance and account for uncertainties.
- •Proactively explore and prototype opportunities using AI-driven automation.
- •Requirements Demonstrated experience with predictive modeling, statistics, experimental design, optimization, and data visualization.
- •Understanding of marketing metrics and KPIs, with experience in campaign optimization, LTV modeling, and incrementality analysis.
- •Proficiency in SQL and Python with hands-on experience in Redshift, Databricks, PySpark, and Airflow.
- •Strong analytical and problem-solving skills.
- •Strong communication skills to explain complex data in simple, actionable terms.
- •BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred.
Required skills
SQLPythonRedshiftDatabricksSparkAirflowMarketing Analytics
Domain expertise
gamingmartech
Benefits & perks
Hybrid working model, 25 days of annual leave, Private medical insurance, Disability and life insurance, Company phone/tablet, Free language lessons, Spotify Premium, Social events and parties, Employee stock purchase plan, Professional development budget, Gym facilities, Free breakfast, lunch, and coffee, Onsite physiotherapist, Onsite hairdresser
Tech stack
SQLPythonRedshiftDatabricksSparkAirflowExcelPowerPointGoogle AnalyticsGA4Looker Studio