Analyst CDI Clinic Staffing & Productivity

Goal of function:

To support the CDI workforce & productivity optimization efforts by reviewing and monitoring CDI clinics’ performance in relevant KPIs as well as conducting comprehensive data quality checks and analyses.

Main tasks:

• Monitor staffing levels, clinic workforce costs and productivity in our CDI clinic network and detect & escalate deviations
• Perform data quality checks and address issues on all country reported, relevant Staffing & Productivity KPI’s for Balanced Scorecard, Operational Review Dashboard
• Deep dive into specific reports and data sets on clinic schedules, shift duration & labour utilization and highlight outliers
• Support harmonization of staffing blueprints within CDI
• Support country users of Workforce Management Suite (WMS) in regular use of reports and efficiency management functionalities
  
  
  

Key Expectations & Responsibilities

• Analytical and Structured Thinking: Must be highly analytical, enjoy working with data, structured in approach, and practical in execution.
• Excel Proficiency: Advanced skills in Excel and comfort with handling large datasets are crucial.
• Fast Learning Curve: While specific domain knowledge can be taught, the person should be a quick learner.
• Autonomous but Coordinated: Will work under supervisor but expected to operate quite independently.
• Strong Communication: Needs to communicate effectively, with diplomacy and assertiveness, especially when interacting with country teams.
• Problem-Solving & Curiosity: Should be able to investigate and understand discrepancies in reports, such as unusual productivity figures.
• Tolerance to Routine: The work involves repetitive data patterns; the ideal candidate must not be averse to routine.
• Consultant-like Attitude: Assertiveness without conflict; capable of presenting insights in a calm, persuasive manner.
• Language & Location: Strong English required.
  
  
  

Ideal Background

• 2–3 years’ experience in shared service centers or similar environments (e.g., controlling, reporting, or financial data analysis).
• Exposure to large Excel files and complex datasets.
  
  
  

Recruitment is live now – don’t wait, apply today!

Fresenius Medical Care – develop your career where your work matters.