Informacje o stanowisku

Are you ready to make a significant impact in the world of data analytics and data management? We are seeking a talented Senior Data Analyst to become a vital part of our dynamic Data Assets, Analytics, and AI Platform at Bayer Consumer Health. In this role, you will play a pivotal role in building and maintaining our core data assets across various domains, ensuring their completeness, semantics and quality. You will work closely with data owners, product managers, data engineers, data architects, data stewards, data governors and data scientist to enable our data analytics solutions, enhance the strategic value of our data assets and enable cutting-edge AI solutions and support data-driven decision-making.

If you’re passionate about transforming data into actionable insights and eager to collaborate with a forward-thinking team, we want to hear from you!

• Masters degree in Statistics, Computer Science, Data Management, Data Science or a related field.
• 5+ years of experience as a Data Analyst or Data Steward, preferably within the consumer-packaged goods, FMCG, pharmaceutical or healthcare industry.
• Strong knowledge of data management principles, data quality frameworks, and metadata management practices and tools.
• Understanding of data lineage and data cataloging concepts.
• Business acumen in the area of consumer analysis.
• Familiarity with Google Analytics, Google Media and Meta Media.
• Experience with data manipulation and analysis using Azure Databricks, SQL and Python.
• Familiarity with relational databases (PostgreSQL, MSSQL) and data modelling.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong understanding about data compliance & security standards such as data privacy regulations (GPDR, HIPAA), EU AI Act, management of confidential data, and experience with measures to mitigate data risks.
• Strong communication skills, with the ability to present complex data in a clear and understandable manner.
• Interest and experience with AI tools supporting data analysis and stewardship is a plus.
• Experience with preparing data for AI solutions (e.g. traditional machine learning models, AI Agents) is a plus.
• Experience in IT product management is a plus.
• Ability to work collaboratively in a team-oriented environment.
• Fluent in English, both written and spoken.

Are you ready to make a significant impact in the world of data analytics and data management? We are seeking a talented Senior Data Analyst to become a vital part of our dynamic Data Assets, Analytics, and AI Platform at Bayer Consumer Health. In this role, you will play a pivotal role in building and maintaining our core data assets across various domains, ensuring their completeness, semantics and quality. You will work closely with data owners, product managers, data engineers, data architects, data stewards, data governors and data scientist to enable our data analytics solutions, enhance the strategic value of our data assets and enable cutting-edge AI solutions and support data-driven decision-making.

If you’re passionate about transforming data into actionable insights and eager to collaborate with a forward-thinking team, we want to hear from you!

,[Lead the squad responsible for the development and operations of the consumer data asset, consisting of other data analysts, data engineers, data architect and data stewards., Develop the strategy and roadmap of collecting and utilizing analytical data in Bayer Consumer Health in the consumer space. Coordinate the operationalization and implementation of this roadmap., Own the quality and completeness of consumer data for the purpose of consumption in analytics, advance analytics and Agentic AI use cases., Serve as a liaison between technical teams and business stakeholders to ensure data assets meet both business requirements and technical standards., Co-develop data strategy and governance frameworks., Proactively identify new datasets from across the organization and collaborate with data architects and data engineers to integrate them into the consumer data asset, Define transformation logic and enrich data to create valuable KPIs and features in the consumption layer., Develop and maintain clear semantics and metadata for data assets, ensuring that all data is well-documented and easily understandable., Ensure data quality, availability, and completeness through implementation of quality checks, validation processes, and continuous monitoring in collaboration with data architects and data engineers., Serve as the primary point of contact for users of data assets, providing guidance and support to help them understand and utilize the data effectively., Analyze complex datasets to extract actionable insights that streamline the development of analytics and AI solutions., Become a go-to expert for consumer data. Requirements: SQL, Python, Data analysis, Data pipelines, Data management, Databricks, MS SQL, PostgreSQL Additionally: Private healthcare, Free parking, Modern office, Bike parking.

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