Senior Data Analyst

Description

Summary: Unilabs is seeking a Senior Data Analyst to transform laboratory and operational data into actionable insights, enhance performance, and support data-driven decision-making across their European pathology operations. Highlights: 1. Transform laboratory and operational data into actionable insights 2. Develop and maintain high-quality Power BI dashboards and reports 3. Drive automation and standardisation of performance reporting processes **Unilabs** is a leading diagnostics provider committed to delivering high\-quality laboratory, imaging, and pathology services across Europe. Our Data \& Analytics team plays a critical role in enabling data\-driven decision\-making and ensuring operational excellence throughout our network. We are looking for a **Senior Data Analyst** to transform **laboratory and operational data** into actionable insights that enhance performance across Unilabs’ pathology operations. In this role, you will develop reporting solutions, deliver advanced analyses, and support data\-driven decision\-making across multiple countries. **What You’ll Do** * Develop, implement, and maintain high\-quality **Power BI** dashboards and reports to support operational and strategic decisions. * Collaborate with stakeholders to gather and refine reporting requirements and translate them into effective analytical solutions. * Partner with data engineers and IT teams to ensure accurate data extraction, transformation, and integration from laboratory and operational systems. * Conduct complex data analyses using **SQL** and **Excel** to identify trends, anomalies, and improvement opportunities. * Ensure accuracy, integrity, and consistency of data across all reporting platforms. * Drive automation and standardisation of performance reporting processes across countries and functions. * Contribute to continuous improvement in data quality and reporting efficiency. * Support laboratory and operational leaders with KPI monitoring and analysis. * Prepare and present findings and recommendations to stakeholders across Europe. * Provide coverage for the Head of Data \& Analytics when required. **Key Impact Areas** * Enable faster and more informed decision\-making through reliable data insights. * Support improved laboratory performance and operational efficiency. * Strengthen data governance and unify reporting standards across the European network. **What Success Looks Like** * On\-time, accurate delivery of Power BI dashboards and reports. * Improved stakeholder satisfaction with data accessibility and insights. * Reduction of manual reporting through automation initiatives. * High levels of data accuracy and consistency across platforms. * Data\-driven operational improvements resulting from your analyses. **Requirements** * Bachelor’s degree in Data Analytics, Computer Science, Biomedical Sciences, Life Sciences, or a related field. * Minimum **5 years of experience** as a Data Analyst or similar role. * Proven track record with Power BI and SQL in analytical and reporting contexts. * Experience with operational or laboratory data in healthcare or life sciences is an advantage. * Strong communication and problem\-solving skills, with excellent attention to detail. * Experience working in international and multifunctional environments is desirable. **Technical Skills** * Advanced proficiency in **Power BI** (data modelling, DAX, report development, publishing). * Strong **SQL** skills for data extraction and manipulation. * Excellent **Excel** capabilities for analysis and reporting. * Familiarity with data warehousing, ETL processes, and data visualisation best practices. **Behavioural \& Cognitive Skills** * Strong analytical, statistical, and critical thinking abilities. * Excellent stakeholder management and communication skills. * Ability to translate business needs into technical solutions. * Effective collaboration with cross\-functional teams (IT, Data Engineering, Operations). * Proactive, self\-motivated, and solutions\-driven approach. * Fluent in English (spoken and written).