Senior Marketing Data Analyst (Marketing Analytics)

TL;DR

Senior Marketing Data Analyst (Marketing Analytics): Designing and implementing scalable data models and pipelines to optimize multi-channel marketing ROI with an accent on data visualization and attribution modeling. Focus on building automated self-service analytics, evaluating platform performance, and delivering strategic insights to C-level management.

Location: Munich, Germany

Company

hirify.global is a leading online marketplace on a mission to revolutionize how marketing decisions are driven through data and analytics.

What you will do

• Design and implement scalable data models and pipelines within the Data Lake to manage multi-channel marketing data.
• Build and maintain dashboards to monitor demand, user acquisition, and marketing efficiency using visualization best practices.
• Empower marketing teams with self-service analytics by curating reliable data sources and automated solutions.
• Collaborate with online, app, and offline marketing teams to optimize media planning, budget allocation, and acquisition.
• Evaluate performance across platforms such as Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo.
• Lead exploratory projects including KPI development, A/B testing, incrementality studies, and attribution modeling.

Requirements

• 4+ years of experience in marketing analytics, ideally within B2C/B2B online marketplaces.
• Proficiency in SQL and hands-on experience with Airflow, dbt, and cloud platforms (BigQuery, Redshift, or Snowflake).
• Strong experience with BI tools like Tableau, QuickSight, or PowerBI.
• Deep understanding of Google Analytics, MMPs (Adjust, AppsFlyer), and major ad platforms.
• Proven ability to translate complex data into actionable recommendations for C-level stakeholders.
• Excellent verbal and written English skills.

Nice to have

• Experience with web/app marketing attribution, budget planning, or forecasting models.
• Experience with Amazon QuickSight, Google Search Console, or Google Tag Manager.

Culture & Benefits

• AI-first mindset: Integration of AI tools into daily workflows to increase speed, quality, and depth of analytics.
• High-impact role with direct exposure to senior and top management.
• Collaborative environment within a multi-level organization.