Media Efficiency & Commercial Mix Modelling (CMM)

• Support, further develop and implement the CMM program for the EUNA region (e.g., data onboarding, first point of contact for countries and internal stakeholders).
• Consolidate CMM results, derive overarching insights, ensure broad distribution of learnings, and advise teams based on the findings.
• Design, develop and roll out media reporting (dashboards) aligned with the Beiersdorf media KPI framework to measure media effectiveness.
• Standardize media and digital reporting as well as the underlying data infrastructure to enable data‑driven campaign optimisation in close collaboration with the media team.
• Ensure and continuously monitor a high level of data quality.

Reporting & Insights

• Analyse and connect market research, consumer and media data to identify behavioural patterns, category usage dynamics and target-group opportunities using advanced data science methods.
• Develop business review presentations for the region in close collaboration with the EUNA marketing team.
• Translate analytical results into clear action recommendations tailored to the respective audience.
• Conduct trend analysis and stay up to date with industry developments to improve the quality and relevance of insights.
• Act as analytical business partner for the regional marketing and media teams, e.g., by contributing to quarterly communication reviews with actionable insights.

• 5+ years of experience in media data, media analytics or a related field, with strong expertise in digital media, performance measurement, reporting and web analytics.
• Experience in building, managing and maintaining internal and external partnerships; comfortable working in matrixed organisations.
• Strategic and entrepreneurial mindset with a proactive, growth-oriented attitude.
• High executional drive: able to translate data and media strategies into concepts, roadmaps and operational plans; reliably delivers on time and in full.
• Excellent analytical skills with the ability to create clarity in complex environments and translate complexity into stakeholder‑appropriate insights and narratives.
• Strong communication and presentation skills with the ability to synthesise insights and influence stakeholders effectively.
• Analytical, data‑driven and hands‑on working style with strong conceptual and practical abilities.
• Experience with media, market or consumer panels (e.g., Nielsen, GfK, Kantar) and media platform data is a plus.
• Exposure to data engineering or integration topics; experience with dashboards, visualisations or predictive modelling is a plus.
• Proactive, agile and learner‑oriented mindset with curiosity for new methodologies and future‑focused solutions.
• Fluent in English.