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.
Knowledge and Experience:* Bachelor’s degree in Data Science, Statistics, Computer Science, or equivalent.
3\+ years of relavant experience required* 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.