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Data Analyst
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$77,837 / year median in Florida
+19% projected growth
Job Description
Job Description Help for Job Description. Opens a new window.
Data Engineer Location:
Eindhoven, Netherlands Salary:
€60,000 This is an opportunity for a Data Engineer to join a growing organisation operating within the healthcare sector, helping to build data products that support better decision-making and improve outcomes at scale. You will work on modern cloud-based data platforms, collaborate with cross-functional teams, and play a key role in shaping a data-driven environment. The Company They are an innovative healthcare-focused organisation using data and technology to deliver meaningful impact across their services and operations. With a strong investment in data and analytics, they are continuing to expand their platform capabilities to support future growth. The business promotes collaboration, continuous learning, and the adoption of modern engineering practices. You will join a team where your work can directly contribute to improving processes and outcomes within a highly meaningful sector.The Role You will:
- Design, build, and maintain scalable data pipelines and ETL processes
- Develop and optimise cloud-based data solutions to support analytics and reporting
- Work closely with data analysts, data scientists, and business stakeholders to understand data requirements
- Ensure data quality, reliability, and governance across the data platform
- Support the migration and modernisation of data infrastructure where required
- Monitor and improve the performance of data workflows and systems
- Contribute to best practices in data engineering, automation, and documentation