Marketing Analyst

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Marketing Analyst, New Business and M&A based in Germany.

• Build and maintain marketing data infrastructure: develop and manage end-to-end data systems that connect advertising impressions, clicks, lead acquisition, engagement, and revenue, integrating Google Analytics, Google Ads, and other relevant marketing platforms.
• Integrate newly acquired businesses: rapidly assess and incorporate the marketing data infrastructure of acquired companies, establishing reliable tracking, attribution, reporting, and measurement standards.
• Analyze advertising performance: evaluate paid acquisition channels and campaigns using metrics such as CAC, ROAS, LTV, funnel conversion, and payback periods.
• Develop analytical models and forecasts using SQL, statistical analysis, predictive modeling, and hypothesis testing.
• Create dashboards and performance reports using business intelligence tools such as Tableau, Power BI, or Qlik.
• Define and standardize performance metrics such as LTV, ROAS, CAC across businesses.
• Translate data into business recommendations through descriptive and diagnostic analyses.
• Collaborate across business functions with business analysts, marketing leaders, and operational stakeholders.
• Map marketing processes and data flows, identifying gaps and opportunities.
• Leverage AI and automation tools to accelerate analytical work and automate reporting workflows.
• Build a repeatable M&A analytics framework with standardized processes and playbooks.

• Bachelor's degree in a relevant field; background in mathematics, statistics, science, finance, or engineering is highly valuable; advanced degree or MBA is an advantage.
• At least three years of experience in data analysis, business intelligence, or analytics with a strong focus on marketing performance.
• Demonstrated experience evaluating paid advertising campaigns, including Google Ads and other paid media platforms.
• Hands-on experience building or managing tracking systems, attribution models, data pipelines, and marketing reporting infrastructure.
• Strong technical knowledge of Google Analytics, Google Ads, and related data integrations.
• Experience developing dashboards and reports using Tableau, Power BI, Qlik, or comparable analytics platforms.
• Strong SQL skills required; experience with Python, R, or MATLAB is an advantage.
• Working knowledge of probability, statistics, exploratory data analysis, hypothesis testing, root cause analysis, forecasting, predictive modeling, and performance measurement.
• Practical experience using generative AI tools such as ChatGPT, Claude, or Gemini.

• Global, fully remote environment.