As a Data & Analytics Engineer, you will act as a strategic interface between the HP Commercial business and our IT organizations. This role identifies opportunities, shapes initiatives, translates business needs into technical direction, and ensures successful delivery of data-driven solutions. The ideal candidate blends business acumen, communication skills, and strong technical understanding of data platforms, analytics and AI capabilities.

Tasks and responsibilities

• Be the main point of contact for the current HP EUCAN business application.
• Business partnering - serve as the primary IT contact for data and analytics needs within HP Commercial.
• Perform project management processes related to planning, financials, product enhancements, change management and reporting.
• Partner with IT vendors in delivering product enhancements, managing SLAs, ensuring smooth operations and reliable analytics platform.
• Support business counterparts with IT‑related operational topics and ensure clarity and alignment of expectations.
• Ensure cross-functional alignment and collaboration between internal IT teams.
• Drive the Data & Analytics technological roadmap and align business priorities with platforms capabilities.
• Identify technology gaps, future platform needs and opportunities for innovation.
• Collaborate with IT architects to define high‑level solution designs and ensure compliance with Enterprise Data & Platforms standards.
• Promote the adoption of BI data & analytics ecosystem and data-driven decision-making platforms.

Requirements

• Bachelor's or master's degree in computer science, engineering or mathematics or related field.
• Proven experience in data-related roles preferably supporting and operating business applications related to CRM, Marketing & Sales, Finance systems, or custom apps.
• Good understanding of modern data platforms using tools such as Snowflake, dbt, SnapLogic (or equivalent iPaaS) and cloud services (preferably AWS)
• Knowledge in APIs, data integration patterns, and event‑driven architectures.
• Familiarity with data governance and metadata management, ideally with Collibra; understanding of lineage, stewardship, and data catalog practices.
• Understanding of software engineering fundamentals: Python/SQL, Git, coding standards, automated testing, and production support practices.
• Proven experience of ITIL or similar service management operational frameworks.
• Demonstrated ability to work independently, manage priorities, and proactively drive work forward in a dynamic environment.
• Strong stakeholder management, analytical thinking, and structured problem‑solving skills.
• Nice to have: Working experience in regulated environments (GxP, GDPR, etc.)

#IamBoehringerIngelheim because...

We are continuously working to design the best experience for you. Here are some examples of how we will take care of you:

• Flexible working conditions
• Life and accident insurance
• Health insurance at a competitive price
• Investment in your learning and development
• Gym membership discounts

If you have read this far, what are you waiting for to apply? We want to know more about you!