This role will be focused on supporting local site initiatives while also contributing to global Engineering Data & Analytics programmes. Working closely with Operations, Engineering, Quality, Supply Chain, Technical Services, and site leadership teams, you will transform complex data into meaningful insights that improve performance, support decision making, and accelerate continuous improvement.
The successful candidate will combine strong analytical capability with business understanding, helping teams identify opportunities, quantify performance, solve problems, and measure outcomes through data.
This is an ideal opportunity for someone who enjoys working directly with stakeholders, influencing business decisions, and delivering tangible operational impact.
Main Responsibilities
Deliver Business Insights
Analyse manufacturing, engineering, quality, supply chain, and operational data to identify trends, risks, and opportunities.
Translate complex datasets into clear and actionable insights for technical and non-technical audiences.
Develop meaningful KPIs, metrics, and performance measures that support business objectives.
Support data-driven decision making across multiple functions within the site.
Support Manufacturing & Engineering Operations
Partner with Operations, Engineering, Quality, and Continuous Improvement teams to solve complex business challenges.
Identify performance improvement opportunities through statistical analysis and data exploration.
Investigate process variation, performance gaps, and root causes using structured analytical methodologies.
Measure and track the effectiveness of improvement initiatives and operational programmes.
Develop Analytics Solutions
Design and develop dashboards, reports, visualisations, and self-service analytics solutions.
Work with data engineers and platform teams to ensure data is reliable, accessible, and fit for purpose.
Support the development of advanced analytics capabilities that improve business performance.
Help establish best practices for analytics, reporting, and business intelligence across the site.
Support Global Programmes
Act as the primary analytics representative for global Engineering Data & Analytics projects being deployed to the Kilkenny site.
Ensure global solutions are effectively adopted and local business requirements are represented.
Collaborate with colleagues across Europe and the United States to share insights, best practices, and analytical approaches.
Support standardisation of metrics, reporting, and analytical methodologies across the manufacturing network.
Provide Leadership & Influence
Serve as a trusted advisor to site stakeholders on data and analytics matters.
Present findings and recommendations to engineering teams, site leadership, and global stakeholders.
Mentor junior analysts and help develop analytical capability across the organisation.
Promote a culture of fact-based decision making and continuous improvement.
Qualifications & Experience
Bachelor's degree in Engineering, Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related discipline.
Significant experience in data analytics, business intelligence, operational analytics, or engineering analytics.
Strong analytical and problem-solving skills with experience working with complex datasets.
Advanced SQL skills and experience querying large datasets.
Experience developing automation and analytics solutions using Python or similar scripting/programming tools to streamline processes, integrate data sources, and support data-driven decision making.
Experience creating data visualizations, dashboards, and analytical reporting solutions using a range of tools and technologies (e.g., Power BI, Python, JavaScript, JMP, Tableau, Spotfire, R, or similar platforms).
Ability to communicate insights effectively to both technical and business audiences.
Experience working with cross-functional stakeholders in a fast-paced environment.
Preferred Experience
Experience within Medical Devices, Pharmaceutical, Life Sciences, Manufacturing, or other regulated industries.
Experience supporting manufacturing operations, engineering functions, quality systems, or supply chain processes.
Understanding of statistical analysis techniques and process performance measurement.
Experience working with Databricks, Spark, or modern cloud-based analytics platforms.
Knowledge of Lean Manufacturing, Six Sigma, Operational Excellence, or Continuous Improvement methodologies.
Experience supporting digital transformation or Industry 4.0 initiatives.
What we Offer
Attractive compensation package that includes competitive pay, as well as benefits such as
Family health insurance,
Excellent pension scheme
Life assurance
Career Development
Fantastic new facility
Growing business plus access to many more benefits.
Important Information
Please note that any offer of employment is conditional upon the successful completion of a pre-employment medical examination, including drug and alcohol screening, conducted by a Company-designated medical practitioner.
Connect with us at www.abbott.com and on LinkedIn, Facebook, Instagram, X and YouTube.
Abbott is an equal opportunities employer.
- The base pay for this position is
- N/A
- In specific locations, the pay range may vary from the range posted.
JOB FAMILY
Engineering
DIVISION
ADC Diabetes Care
LOCATION
Ireland > Kilkenny : Kilkenny Business and Technology Park
ADDITIONAL LOCATIONS
WORK SHIFT
Ie - Kkyflx (Ireland)
TRAVEL
Not specified
MEDICAL SURVEILLANCE
Not Applicable
SIGNIFICANT WORK ACTIVITIES
Not Applicable
