Purpose and Responsibilities
The role provides data analytics support to drive decision making, offering foundational capabilities for business process visibility and advanced analytics implementation.
Main Responsibilities:
* Foster a culture of data analytics and visualization through best practices sharing and training QC staff.
* Support self-service reporting model development and advancement.
* Develop practical data-driven solutions based on business needs.
* Implement data analytics solutions for continuous improvement projects in laboratory operations.
* Contribute to cross-functional analytics projects and build relationships with key stakeholders.
* Create Spotfire and Tableau reports, develop report validation protocols, and perform User Acceptance Testing.
* Participate in SharePoint and Microsoft teams development activities and liaise with IT teams for troubleshooting.
* Write SQL queries and provide routine data pull request support.
* Perform ad hoc data mining and analysis, exploring new digital tools and techniques for operational enhancement.
* Develop predictive models and assist in creating innovative data and analytics solutions.
Key Skills:
* Data analytics, computer science, or related field third-level qualification.
* Proficiency in programming languages (SQL, Python, R).
* Data visualization tools (Spotfire, Power BI, Tableau) experience.
* Laboratory operations systems (LIMS, LMES) familiarity an advantage.
* Advanced statistical/analytical techniques and machine learning algorithms experience an advantage.