About the job
Unilabs stands as a premier diagnostics provider, dedicated to offering exceptional laboratory, imaging, and pathology services throughout Europe. Our Data & Analytics team is pivotal in fostering data-driven decision-making and driving operational excellence across our expansive network.
We are seeking a highly skilled Senior Data Analyst to convert laboratory and operational data into strategic insights that bolster performance across Unilabs’ pathology operations. In this capacity, you will develop innovative reporting solutions, execute advanced analyses, and facilitate data-driven decisions across various countries.
Key Responsibilities:
- Design, implement, and maintain top-notch Power BI dashboards and reports to guide operational and strategic decisions.
- Collaborate with stakeholders to collect and refine reporting requirements, translating them into effective analytical solutions.
- Work alongside data engineers and IT teams to ensure precise data extraction, transformation, and integration from laboratory and operational systems.
- Perform intricate data analyses using SQL and Excel to uncover trends, anomalies, and opportunities for enhancement.
- Guarantee the accuracy, integrity, and consistency of data across all reporting platforms.
- Propel automation and standardization of performance reporting processes across countries and functions.
- Contribute to ongoing improvements in data quality and reporting efficiency.
- Assist laboratory and operational leaders in monitoring and analyzing KPIs.
- Prepare and present findings and recommendations to stakeholders across Europe.
- Provide support for the Head of Data & Analytics when necessary.
Key Impact Areas:
- Facilitate quicker and more informed decision-making through reliable data insights.
- Enhance laboratory performance and operational efficiency.
- Fortify data governance and consolidate reporting standards across the European network.
Success Metrics:
- Timely, accurate delivery of Power BI dashboards and reports.
- Increased stakeholder satisfaction regarding data accessibility and insights.
- Decreased manual reporting through automation initiatives.
- High levels of data accuracy and consistency across platforms.
- Operational improvements driven by your analyses.

