Analytical Expert, Analytics Acceleration - Frankfurt Am Main, Deutschland - Fresenius Medical Care
Beschreibung
Works closely with a team of analytical accelerators to resolve business challenges.Partners with other Data and Analytics teams for FME General and Administration Business functions G&A such as Finance, Procurement, Compliance and Care Enablement to define complex data-related requirements that bring strategic priorities to life for Fresenius.
Your assignments:
- Drive assigned engagements of Analytics Accelerators, funnels and prioritizes next needs with Business Partners
- Translates of analytics ideas to project/program/product definition and scoping with Data and Analytics CoE Functions
- Manages business input on data & analytical quests.
- Ensures rapid responses, delivery and/or first solutions / assessments (data labs / mínimal viable products)
- Manages transition to full scale implementations if needed.
- Aligns framed problem statements, shapes a solution, and champions change with business counterparts and executives.
- Ensures business use cases and outcomes, data sources and management concepts, and analytical approaches and options; the ability to translate among the languages used by executives, business, IT, and other stakeholders.
Your profile:
- Professional experience in IT and data driven Environments.
- Professional experience in global and complex project / agile Environment, Project Management experience
- Strong business domain knowledge and data expertise in two or more of Care Enablement or G&A business domains
- Agile / Project Engagement Mgmt. (Scrum / PRINCE2) background
- Experience in working methodologically in a datacentric business environment (Business & Data Analysis)
- Solid understanding of the sources of value from data analytics across core business domains and to define paths realizing that value.
- Strong communication skills and ability to break down complex information into relevant and digestible points.
- Teamplayer attitude and goal orientation to drive the endtoend implementation of use cases under time pressure.
- Experience and solid skills in 34 out of the following set:
- Data Visualization
- Data Engineering
- Business Process Analysis
- Programming, SQL preferred.
- Statistics
- AI/ML Design
- Product Management
- Degree in Economics, (Business) Informatics, Mathematics or Statistics (BSc., MBA or PhD) or technical apprenticeship supplemented with appropriate professional experience in a comparable role.
- Service and result oriented working style.
- Strong analytical thinking and attention to details
- Emphatic and Big Picture Thinking
- Selfdriven, high degree of independence, strong selfmotivation
- Very good communication skills (oral and written)
- Professional experience in international environments
- Professional experience in international environments
- Occasional willingness to travel (few trips per year, typically less than 1 week duration)
- Business level proficiency in English, German is desirable.
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