Data Analyst

Mission/Positions Headline:

Leverage advanced analytical data methods, models, and algorithms using visualization tools and data warehouses with a business-oriented mindset to enrich and analyze data. This role has a strategic focus on the uplift of scalable business process modelling from Zone-level to Headquarters-level, while solving business-specific, scalable questions, improving transparency, and addressing reporting issues to generate new business opportunities enabled by data-driven insights.

Areas of Responsibility:

• Collect, process, and clean data from various sources in the IT ecosystem and prepare it for analysis.
• Analyze large datasets to identify trends, patterns, and insights that inform company planning and strategies for data processing.
• Use statistical tools and techniques, including predictive models in business intelligence software, to perform analysis, in turn enabling business decisions.
• Create aesthetic visualizations and reports that clearly communicate complex data comprehensibly.
• Collaborate with cross-functional teams, including Marketing, Sales, Order-to-Cash, Service Operations, and IT data engineers and architects, to support strategic objectives.
• Ensure data integrity and accuracy in all analytical activities and provide feedback to data governance functions.
• Use data insights to facilitate the standardization and reinforcement of global processes to align with intended process workflows, respecting software template design.
• Present findings and recommendations to senior management to aid decision-making.
• Identify further data requirements, integrate such data, and maintain data quality and accessibility in collaboration with data architects.
  
  

• Bachelor’s degree in Data Science, Statistics, Computer Science, or equivalent.
  
  

• Proven experience and familiarity with data warehouses, databases, and visualization software.
• SQL and Python coding experience, with strong knowledge of databases and data warehousing.
• Siemens Healthineers specific experience in OTC and FI processes is highly desirable. Otherwise, experience in a healthcare business or another relevant industry.
• Excellent verbal and written communication skills, with strong project management skills.
• Certifications in analytics are preferable.
• Strong practical knowledge of data visualization tools and analytical techniques.