34382-Senior Associate, QC Metrics & Analytics-Dublin

Purpose:

This job specification outlines the general responsibilities associated with the role of Senior Associate responsible for QC Metrics and Analytics support.

The role will be responsible for providing Metrics reporting and analysis to provide visibility into business processes and implement digital analytics solutions to drive value.

Additionally, the role may involve carrying out additional work functions that are not described in this specification but are associated with their role.

Responsibilities:

• Analysing and reporting of QC Business process key performance Indicators
• Generation of reports required for method tracking and trending and across multiple testing platforms in line with current GMP procedures
• 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.
• Championing adaptation of digital technology solutions within a QC lab environment
• 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.
• Provide support as required for design, build and validation activities related to LIMS downstream reporting application business reports.

Requirements:

• Hold a third level qualification in science discipline with 2-5 years’ experience within a Quality control laboratory
• Familiarity with common laboratory operations systems, such as LIMS and LMES
• Excellent Organisational Skills and Time Management.
• Initiative to explore alternate technology and approaches to solving problems
• Strong communication skills with the ability to explain complex topics to diverse audiences.
• High degree of initiative, self-motivation, and ability to work in direct lab teams with a focus on achieving team goals.
• Ability to identify and manage competing priorities.
• Proficiency in programming languages, with emphasis on SQL, Python, and/or R is an advantage
• Experience with data visualisation tools or packages, such as Spotfire, Power BI or Tableau is an advantage
• Experience with advanced statistical/analytical techniques and machine learning algorithms an advantage is an advantage