Marketing Analyst, New Business and M&A

New

JobgetherMarketing analytics

Listing location: Germany; Workplace type: Remote; Structured job location: GermanyFull-TimeMiddle

Salary not disclosed

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Job Details

Languages: Communicate professionally in English. Applications and related communication must be submitted in English.
Experience: At least three years of experience in data analysis, business intelligence, or analytics, with a strong focus on marketing performance.
Required Skills: SQLMicrosoft Power BIGoogle AnalyticsTableau

Hold a bachelor's degree in a relevant field.
Have at least three years of experience in data analysis, business intelligence, or analytics focused on marketing performance.
Demonstrate experience evaluating paid advertising campaigns, including Google Ads and other paid media platforms.
Have hands-on experience with tracking systems, attribution models, data pipelines, and marketing reporting infrastructure.
Bring technical knowledge of Google Analytics, Google Ads, and related data integrations.
Have experience developing dashboards and reports with Tableau, Power BI, Qlik, or comparable analytics platforms.
Have strong SQL skills.
Apply probability, statistics, exploratory data analysis, hypothesis testing, root cause analysis, forecasting, and predictive modeling.
Have practical experience using generative AI tools such as ChatGPT, Claude, or Gemini for analysis, workflow automation, or reporting.
Connect analytical findings with marketing strategy, financial performance, and operational outcomes.
Communicate complex analytical concepts and data limitations clearly in English.
Work effectively with globally distributed teams and manage multiple projects independently.

Build and maintain data systems connecting advertising activity, lead acquisition, engagement, and revenue.
Integrate acquired companies’ marketing data infrastructure, tracking, attribution, reporting, and measurement.
Evaluate paid acquisition channels and campaigns using CAC, ROAS, LTV, funnel conversion, and payback metrics.
Use SQL, statistical analysis, predictive modeling, and hypothesis testing to identify performance drivers and forecast outcomes.
Create dashboards and performance reports using business intelligence tools.
Define consistent performance metrics across businesses.
Translate analysis into practical recommendations for marketing efficiency and financial performance.
Collaborate with business analysts, marketing leaders, and operational stakeholders on business objectives.
Use generative AI tools to accelerate analysis and automate reporting workflows.
Develop repeatable processes and playbooks for integrating marketing data from acquired companies.

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