Data Analyst - Post Market Surveillance

Job title:
Data Analyst - Post Market Surveillance

Your role:

• Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.

  
  
  

• Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.

  
  
  

• Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Palentir, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.

  
  
  

• Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.

  
  
  

• Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.

  
  
  

• Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.

  
  
  

• Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.

  
  
  

You're the right fit if: (4 x bullets max)
1. Experience- Minimum 5 years of experience in areas such as Data Analytics, Data Modeling.
2. Skills- Data Analytics, Modeling, Power BI, SQL, Python
3. Education- Any Engineering
4. Anything else.

• Data Analysis & Interpretation

  
  
  

• Data Harmonization & Processing

  
  
  

• Data Modeling

  
  
  

• Data Quality Assurance

  
  
  

• Statistical Methods

  
  
  

• Statistical Programming Software

  
  
  

• Business Intelligence Tools

  
  
  

• Data Mining

  
  
  

• Machine Learning Engineering Fundamentals

  
  
  

• Research & Analysis

  
  
  

• Structured Query Language (SQL)

  
  
  

• Regulatory Compliance

  
  
  

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.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite 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 culture of impact with care here.