AI Data Analyst

In this role, you will have the opportunity to:

• Cross-functional Collaboration: Collaborate with data stewards, OpCo stakeholders, IT professionals, data engineers, and data scientists to assess data requirements, address quality concerns, and achieve consensus on AI use-case specifications.
• Pipeline & Model Support: Work closely with engineering teams to validate data during pipeline development and model training, ensuring adherence to quality standards and documenting data lineage and rules.
• Documentation & Enablement: Maintain clear documentation of analytics requirements, data standards, and best practices to support scalable, well-governed data preparation for AI projects
• Data Quality & Governance: Conduct data profiling, cleansing, validation, and root cause analysis to ensure supply chain master data is accurate, complete, consistent, and time, supporting AI and advanced analytics initiatives.
• Communication & Remediation: Translate data quality issues into business impact for non-technical stakeholders and recommend remediation strategies or workarounds when needed.
  
  

The essential requirements of the job include:

• Effective collaboration with technical teams and business stakeholders across different operating companies.
• Strong ability to interpret business goals and analytics requirements, translating them into clear, actionable data quality criteria and plan
• Proven experience working in data quality, data management, or analytics roles, ideally within supply chain, manufacturing, or a related domain.
• Demonstrated experience in managing supply chain data domains such as Material Master, Vendor Master, and Customer Master records.
• Strong understanding of data quality concepts, profiling techniques, and root cause analysis.
  
  

It would be a plus if you also possess previous experience in:

• Understanding of data requirements and data preparation methodologies specifically for Artificial Intelligence and Machine Learning applications or any large-scale data initiatives.
• Navigating data management complexities within a decentralized or federated organizational structure involving multiple business units or operating companies.
  
  

Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.