Overview:
An exiting opportunity for an experienced QC Data Analyst to join a leading Bio-pharmaceutical company in South Dublin. The role will be responsible for providing data analytics support to enable data-driven decision making, building foundational capability to provide visibility into business processes and implementation of advanced analytics solutions to drive value.
Key Responsibilities:
- Fostering a culture of data analytics and data visualisation through sharing of best practices and training of QC staff.
- Support the definition and advancement of a self service reporting model.
- Understanding business needs and developing practical data-driven solutions to meet those needs.
- Identify, manage and implement data analytics solutions for continuous improvement projects related to laboratory operations.
- Support to cross functional analytics projects. Building relationships with key business stakeholders, defining user requirements.
- Spotfire and Tableau reports development and maintenance.
- Development and execution of report validation protocols.
- User Acceptance Testing.
- Development activities in SharePoint and Microsoft teams.
- Liaise with IT teams for troubleshooting activities.
- Write SQL queries and provide support for routine data pull request tickets
- Performing ad hoc data mining and analysis.
- Exploring and evaluating new digital tools and techniques to advance operational capabilities
- Predictive Model Development. Assist in the development of a wide-range of innovative data and analytics solutions, from descriptive to machine learning based. Creating analytical models and visualisations that make business and process data actionable.
- Provide support as required for design, build and validation activities related to LIMS downstream reporting application business reports.
Knowledge and Experience:
- Hold a third level qualification in data analytics, computer science or related field.
- Proficiency in programming languages, with emphasis on SQL, Python, and/or R
- Experience with data visualisation tools or packages, such as Spotfire, Power BI or Tableau.
- Familiarity with common laboratory operations systems, such as LIMS and LMES desired.
- Experience with advanced statistical/analytical techniques and machine learning algorithms an advantage.
- Excellent Organisational Skills and Time Management.
- Strong Communication Skills.
- Ability to work under minimal supervision.
- Ability to identify and manage competing priorities.
Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative.
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