What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
Value & Margin Optimization Drive profitability through product, channel, and COGS optimization, maintaining updated business cases to reflect evolving cost and value drivers. Support lifecycle extension strategies, including reformulations, market expansions, and strategic divestments to enhance long-term product value.
If you would like to contribute to this diverse and ambitious team, we look forward to receiving your application! What makes your day with us special: Support and Develop Country-Specific Commercial Strategies Support senior sales management in the development, implementation and steering of country-specific strategies for both acquisitions and existing business.
Together, the team ensures sustainable regulatory compliance across key markets and supports the successful lifecycle management of our products by working closely with health authorities, regional partners and internal stakeholders worldwide.
Proactively manage CMO communication, resolve issues, and ensure smooth coordination, timely vendor selection, and successful implementation. Support technology transfer processes and oversee cross-functional coordination for introducing new CDMOs (Contract Development and Manufacturing Organizations).
Within this setup, the Western Europe team is a dynamic international group of 18 colleagues, consisting of a Director, two Heads of, Sales & Alliance Managers and Sales Support Coordinators. Together, the team drives sustainable commercial growth across key markets and collaborates closely with regional distributors and internal stakeholders worldwide.
Within this setup, the Asia Pacific team is a dynamic international group of 11 colleagues, consisting of a Director, one Head of, Sales & Alliance Managers and Sales Support Coordinators. Together, the team drives sustainable commercial growth across key markets and collaborates closely with regional distributors and internal stakeholders worldwide.
Within this setup, the Middle East and Africa team is a dynamic international group of 10 colleagues, consisting of a Director, one Head of, Sales & Alliance Managers and Sales Support Coordinators. Together, the team drives sustainable commercial growth across key markets and collaborates closely with regional distributors and internal stakeholders worldwide.
What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.