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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical skills and a solid understanding of marketing performance metrics, including attribution and marketing mix modeling. Proficient in using AI tools for data analysis and reporting, with the ability to communicate insights effectively in both German and English.
Highest-signal resume keywords
Data AnalysisAttribution ModelingMarketing Mix ModelingFluent In German And EnglishAI Tools Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAttribution ModelingMarketing Mix ModelingSQLPythonExcelGoogle SheetsPerformance MarketingBI ToolsAI Project Management
Soft Skills
Eagerness To LearnResponsibilityClient CommunicationCritical ThinkingProblem Solving
Tools & Technologies
Google AdsMetaTikTokSnapAI Tools
Industry Keywords
Customer SuccessAccount ManagementCross-Channel PerformanceMarketing Analytics
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Complete a 12-month traineeship at the intersection of marketing, analytics and AI
- Analyze cross-channel performance data from Google Ads, Meta, TikTok, Snap and other platforms
- Master attribution, marketing mix modeling and incrementality, and explain them to clients
- Prepare, interpret and present platform budget optimizations
- Use AI tools daily for analysis, reporting and client meeting preparation
- Understand client needs, challenge assumptions with data and turn insights into recommendations in German and English
- Progress from supporting first clients to independently owning clients and projects
- Spend time in marketing, sales and product, including a sprint with the Founder & CEO
- Move into a permanent Customer Success & Account Management role after one year
Requirements
What you’ll need- At the start of your career, eager, willing to take responsibility and learn fast
- Enthusiasm for AI and analytics; willingness to work with AI every day
- Completed or soon-to-be-completed degree in business, data science, marketing or a related field
- Comfortable working with numbers and data, for example in Excel or Google Sheets
- Fluent in German and English
- Italian is a plus
- Own AI projects are a plus
- Internship in performance marketing is a plus
- First experience with Claude, SQL, Python or BI tools is a plus
Benefits
Comp & perks- 3-month probation period
- 42 hours/week
- 25 days of annual leave
- Permanent contract from day one
- Fixed salary increase and equity in Nexoya (ESOP) once you complete the traineeship
- Personal learning budget, for example for Google Ads or Meta certifications
- Personal expert buddy
- Regular development talks
- Flexibility to work from home 3 days/week
- Twice-a-year company Strategy Days travel
- Office a few minutes’ walk from Zurich main station