Data Analyst/Consumer Data

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice.

Data Analyst/Consumer Data 

For Digital Hub Warsaw, we are looking for:

Data Analyst – Consumer Data

Are you ready to make a significant impact in the world of data analytics and data management? We are seeking a talented 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

Key Tasks & Responsibilities:

• Collaborate with data owners, architects, engineers, stewards, governors, scientists and product managers to understand objectives and requirements for data assets.
• Serve as a liaison between technical teams and business stakeholders to ensure data assets meet both business requirements and technical standards.
• Proactively identify new datasets from across the organization and collaborate with data architects and data engineers to integrate them into the core data assets
• 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.

Qualifications & Competencies:

• Master's degree in Statistics, Computer Science, Data Management, Data Science or a related field.
• 3+ years of experience as a Data Analyst or Data Steward, preferably within the consumer-packaged goods, FMCG, pharmaceutical or healthcare industry.
• Basic 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.
• 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.
• Ability to work collaboratively in a team-oriented environment.
• Fluent in English, both written and spoken.

What do We offer:

• A flexible, hybrid work model
• Great workplace in a new modern office in Warsaw
• Career development, 360° Feedback & Mentoring programme
• Wide access to professional development tools, trainings, & conferences
• Company Bonus & Reward Structure
• VIP Medical Care Package (including Dental & Mental health)
• Holiday allowance ("Wczasy pod gruszą")
• Life & Travel Insurance
• Pension plan
• Co-financed sport card - FitProfit
• Meals Subsidy in Office
• Additional days off
• Budget for Home Office Setup & Maintenance
• Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
• Tailored-made support in relocation to Warsaw when needed
• Please send your CV in English

You feel you do not meet all criteria we are looking for? That doesn't mean you aren't the right fit for the role. Apply with confidence, we value potential over perfection.

WORK LOCATION: WARSAW AL.JEROZOLIMSKIE 158

YOUR APPLICATION

This is your opportunity to tackle the world's biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 

Location: ​​ ​   Poland : Mazowieckie : Warszawa​

​​Division: ​ CH​

Reference Code: ​