Globaldev Group

<p>Senior Data Analyst will work on a project in the Pharma industry.</p><h3>Requirements: </h3><ul> <li>Conceptual understanding of Data Vault (Data Vault modeling);</li> <li>Must have at least 5 years of experience with Data Analysis;</li> <li>Must have relevant experience with the Pharma industry;</li> <li>We are not looking for an expert but for a Senior Data Analyst with Data Vault experience or at least an understanding;</li> <li>At least a little experience with Data Vault or conceptually understand Data Vault.</li> </ul><h3>Responsibilities:</h3><ul> <li>Excellent communication skills, capable of articulating complex concepts to diverse audiences, including revenue managers and senior stakeholders;</li> <li>Ensure the Data Vault architecture aligns with business requirements and best practices in the pharma industry;</li> <li>Develop and maintain conceptual, logical, and physical data models;</li> <li>Good understanding of business processes in the Pharma Technical Operations area and pharmaceutical supply chain models.</li> </ul><h3>Proven skills in:</h3><ul> <li>Experience with analyzing data to derive insights, patterns, and trends. They interpret complex data sets and create reports to help inform business decisions; </li> <li>Reporting, visualization, and statistical analysis;</li> <li>Experience with data warehouse, data lake, and enterprise big data platforms.</li> </ul><h3>CV preferences: </h3><ul> <li>Your CV must highlight the relevant experience and skills required for our specific Senior Data Analyst / Data Vault modeling engineer;</li> <li>Your CV must be tailored to the job description to ensure that it effectively highlights your relevant experience and skills; </li> <li>Before sending a CV please add more information about experiences, past projects, responsibilities, and roles in Data Analysis, data warehouse, data lake, enterprise big data platform, Data Vault architecture, Data Vault modeling, reporting, visualization, and statistical analysis, analyzing data to derive insights, patterns, and trends, develop and maintain conceptual, logical, and physical data models in pharma industries. </li> </ul>