Senior Data Analyst

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.

Senior Data Analyst

As a Senior Data Analyst, you will be a part of Bayer's Pharma Data & AI Team with varying assignments according to project needs. You may collaborate with (analytical) data product teams, where the emphasis is on requirement engineering and data modeling, contribute to data visualization teams focused on semantic modeling, or support internal platform teams responsible for observability dashboards and analytics. While some projects will involve defining key metrics and developing scalable visualizations to enable self-service analytics, other assignments may concentrate primarily on data modeling, transforming complex inputs into actionable structures and insights that empower business decisions.

YOUR TASKS AND RESPONSIBILITIES

• Translate user requirements into analytical plans and socialize trustworthy KPIs / metrics with clear ownership and documentation.
• Build curated datasets and analytical models in collaboration with analytics and data engineering teams, ensuring reproducibility and transparency.
• Develop and iterate dashboards in PowerBI and ThoughtSpot with strong data storytelling, guided navigation, and performance best practices.
• Align semantic definitions with business glossaries and maintain certified, well-documented models and dashboards in partnership with data governance teams.
• Define and implement data quality checks and anomaly detection for data products; proactively address drift and source changes with engineering partners.
• Enable self-service analytics through thorough documentation, training, and reusable assets, while tracking adoption and user satisfaction. Activate metadata to inform product iterations.
• Collaborate with cross-functional teams—including data product, source and consumption teams—to gather and refine requirements.
• Lead the development of semantic and data models, curate business glossaries, and establish standards for consistent data interpretation and trust within product teams and domains.

WHO YOU ARE

WHAT DO WE OFFER :

YOUR APPLICATION

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.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

Bayer respects and applies the Whistleblower Act in Poland.

Location :

Poland : Mazowieckie : Warszawa

Division : Enabling Functions

Reference Code : Location :

Poland : Mazowieckie : Warszawa

Division : Enabling Functions

Reference Code : Location :