Data Analyst

Fresenius Medical Care; Staffolo; In loco; EUR 35.000 - 50.000; Tempo pieno

Descrizione del lavoro

A global leader in kidney care is seeking a Data Analyst to support clinical data initiatives in the EMEA region. This role involves conducting data analysis and developing reports to aid clinical decision-making. The ideal candidate will have a Bachelor's degree in a relevant field and proficiency in SQL, with strong analytical and communication skills. This opportunity offers a chance to work with a diverse team dedicated to improving patient care.

Competenze

• Strong analytical mindset with attention to detail.
• Proficient in SQL for data extraction and manipulation.
• Ability to present findings to non-technical stakeholders.

Mansioni

• Conduct data extractions using SQL queries.
• Address data access challenges with proposed solutions.
• Develop reports to support Global Clinical Quality initiatives.

Conoscenze

Analytical mindset

SQL proficiency

Problem-solving

Attention to detail

Communication skills

Formazione

Bachelor’s degree in relevant field

Strumenti

Python

R

SAS

Power BI

Descrizione del lavoro

Overview

At Fresenius Medical Care, we are the global leader in kidney care, dedicated to improving the lives of patients living with chronic kidney disease. Our mission is to deliver high-quality, innovative products, services, and care that support patients throughout their entire healthcare journey. Guided by our vision “Creating a future worth living. For patients. Worldwide. Every day.” — we operate with purpose and compassion, supported by a diverse team of over 125,000 employees around the world.

PURPOSE AND SCOPE:

As Data Analyst at the Renal Research Institute (RRI), Fresenius Medical Care, this role will be pivotal to supporting clinical data initiatives for the Europe, Middle East, Africa (EMEA) region. Working alongside the analytics teams within RRI and the Global Medical Office (GMO), the ideal candidate will assist with data driven decisions in the organization. Key responsibilities also include supporting GMO/RRI analytics team with data to advance clinical decision-making, data science efforts, research, and real-world evidence efforts. This role will also act as a cross-functional liaison between the RRI analytics team and the Information Technology Services (ITS) team to ensure continuity, quality, and integrity of data within the data warehouse.

PRINCIPAL DUTIES AND RESPONSIBILITIES

• Conduct data extractions from complex databases using SQL queries.
• Work with stakeholders to gain a deep understanding of the data, data entry processes, and data infrastructure.
• Address complex data access and extraction challenges by proposing and implementing solutions at the warehouse level when appropriate.
• Conduct clinical data analysis and provide interpretation to support business and clinical decisions across the EMEA and other regions.
• Develop, maintain, and optimize reports to support Global Clinical Quality initiatives.
• Collaborate with senior GMO executives on high-impact projects, including Hemodiafiltration (HDF) expansion and other strategic initiatives.
• Support translation of complex data insights into clear and actionable recommendations for global stakeholders.
• Work closely with business intelligence and data management teams in GMO and ITS to optimize data workflows, ensure data integrity and investigate data issues.
• Other duties as assigned.

EDUCATION AND REQUIRED CREDENTIALS

• Bachelor’s degree in a relevant field (e.g., Data Science, Public Health, Statistics, Computer Science, or related discipline), or an equivalent combination of education and experience.

EXPERIENCE AND SKILLS

• Strong analytical mindset with high precision, attention to detail, and a natural aptitude for data analysis and problem-solving.
• Ability to explore and interpret datasets, apply basic descriptive statistical concepts.
• Proficiency in SQL for data extraction, manipulation, and transformation.
• Nice to have working knowledge of Python and/or R and/or SAS for data analysis, scripting, and automation.
• Proven commitment to data quality, integrity, and structured validation methods.
• Verbal and written communication skills, with the ability to present technical findings to non-technical stakeholders.
• Good working knowledge of English, with the ability to communicate effectively in an international, English-speaking work environment.
• Comfortable working independently and collaboratively across time zones and multicultural environments.
• Quick learner with adaptability to new tools, technologies, and evolving data environments.
• Bonus: Familiarity with ETL processes, version control systems (e.g., Git), data privacy standards (e.g., GDPR), or experience with clinical/healthcare datasets; Familiarity with Power BI or similar BI tools (e.g., Tableau, Qlik); experience with MDX or DAX is a plus.