and/or R along with experience with data visualisation tools or
packages, such as Spotfire, Power BI or Tableau?
If interested, forward your CV to * or call
Karen on + *- * for a
confidential chat.
BIOTECH QC DATA ANALYTICS SUPPORT - DUBLIN
JOB DESCRIPTION
Our client is a leading international Biotechnology company with a
state of the art aseptic manufacturing facility in Dun Laoighaire,
South Dublin.
The plant is one of the most dynamic in Ireland and is currently
undergoing rapid expansion and capital investment.
This is an excellent opportunity to get experience on Ireland&#**Apply
on the website**;s leading aseptic manufacturing plant.
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.
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.
REQUIREMENTS
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 an advantage.
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.
PACKAGE
Contract Hourly rate € * - €**Apply on the
website** per hour
We need : English (Good)
Type: Permanent
Payment: EUR 25 - 35 Per Hour
Category: Construction
