Data Engineer - Insights & Analytics for Commercial Operations

Data Engineer - Insights & Analytics for Commercial Operations

This role is crucial in enhancing customer experiences by designing, developing, deploying, and maintaining advanced data systems. Responsibilities include data modeling, acquisition, transformation, and governance using state-of-the-art technologies and practices. Collaborating with users and product owners to refine requirements and employing agile methodologies ensures the delivery of outstanding digital solutions.

Your Role:

• Perform advanced analytics, data mapping, and reporting to support initiatives and commercial operations projects.
• Ensure timely delivery of high-quality analysis and reports.
• Engage with business stakeholders to understand their challenges and translate them into actionable analytics solutions.
• Stay updated on the latest insights and analytics developments; implement machine learning and AI solutions in key use cases.
• Analyze multiple business flows and data models, ensuring the application of relevant analytics methodologies and standards.
• Develop and support Insights & Analytics solutions, including maintaining existing EI CommOps business-owned reports.

You're the Right Fit If:

• You have successfully integrated and deployed AI technologies, including machine learning models and Large Language Models (LLMs), into production environments, demonstrating significant business impact.
• You possess a solid foundation in Python, which is crucial for developing and optimizing analytics solutions in our projects.
• You have at least 6 years of relevant experience in roles such as Business Analytics Specialist, Data Analyst, or Business Process Expert, with a strong understanding of commercial processes.
• You have expertise in designing, building, and maintaining scalable ETL pipelines to support data transformation and structuring for business intelligence.
• You are proficient in one or two key commercial data domains (e.g., OIT, Sales, Services, SSOP, Pricing,...).
• You exhibit a problem-solving mindset with experience in root cause analysis and lean principles.
• You are eager to work with global teams.
• You demonstrate excellent analytical thinking and the ability to interpret large volumes of information, synthesise insights, and effectively communicate analyses and proposals to various audiences, including senior management.
• You hold a Bachelor’s degree in Computer Science, Information Management, Data Science, Statistics, or a related field; a Master’s degree is preferred.
• Your have proven technical skills in PowerBI, Azure DataBricks, Advanced Excel + Macros; experience with Salesforce and SAP is preferred.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. This is an office based role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.