Data Analyst - Project Implementation

Unilabs, a leading diagnostic provider across Europe, is seeking a detail-oriented and analytical Data Analyst - Project Implementation to join our Operations Excellence team, for 6-9 months. In this role, you will play a crucial part in supporting the successful implementation of various projects by analyzing data and providing insights that drive decision-making processes. You will work closely with project managers and cross-functional teams to ensure that data-related aspects of project implementations are handled efficiently and effectively.

The ideal candidate will have a combination of data quality/analysis and project support, with technical skills in Power BI and Power Query and a focus on supporting standardization and data integrity in global rollouts, and solid communication skills.

Responsibilities

• Carry out data validation, data standardization, assisting with the technical implementation of global projects
• Ensuring the accuracy, consistency, and alignment of data with established standards, supporting the successful rollout of standardized processes.
• Analyze project-relevant data to identify trends, opportunities, and potential issues.
• Support project implementation teams by providing accurate and timely data insights.
• Develop and maintain dashboards and reports to monitor project performance.
• Collaborate with stakeholders to define project requirements and objectives.
• Ensure the quality and integrity of data throughout the project lifecycle.
• Participate in meetings and presentations to communicate findings and recommendations.

Requirements

• Bachelor's degree in Data Science, Statistics, Business Analysis, or a related field.
• Proven experience as a Data Analyst or in a similar role.
• Strong proficiency in data analysis tools and software (e.g., Excel, SQL, BI tools).
• Experience with Power Query and Power BI for data handling and transformation.
• Comfortable working in multinational or cross-functional environments.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and ability to work with complex datasets.
• Effective communication skills to present findings clearly to diverse audiences.
• Experience in a project management or implementation environment is a plus.
• Fluency in English is mandatory; additional language skills are advantageous.