Senior Data Analyst

Abbott; Ireland; On-site; EUR 60,000 - 90,000; Full time

Job summary

Abbott in Kilkenny is seeking a Senior Data Analyst to join the Engineering Data & Analytics team. You will transform complex data into insights, influence business decisions, and drive continuous improvement at the site.

Work closely with Operations, Engineering, Quality, and Global teams to deliver dashboards, KPIs, and analytics solutions that improve performance and enable data-driven decisions.

Qualifications

• 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.

Responsibilities

• Deliver Business Insights by analyzing data across manufacturing, engineering, quality, supply chain, and operations.
• Support Manufacturing & Engineering Operations with data-driven improvements and KPI tracking.
• Develop Analytics Solutions through dashboards, reports, and self-service analytics.
• Support Global Programmes by aligning local analytics with global projects and sharing best practices.
• Provide Leadership & Influence by guiding site stakeholders and mentoring junior analysts.

Skills

Advanced SQL

Python

Data analytics

Problem solving

Stakeholder communication

Education

Bachelor's degree in Engineering or related discipline

Job description

JOB DESCRIPTION:

Abbott in Ireland

Abbott has maintained a strong presence in Ireland since 1946 and celebrates its 80th anniversary in the country in 2026. The company supports the Irish healthcare sector with a broad portfolio spanning diagnostics, diabetes care, medical devices and nutritional products. Today, Abbott employs more than 6,500 people across ten sites located in Dublin, Donegal, Clonmel, Cootehill, Galway, Kilkenny, Longford and Sligo.

About Abbott

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

Abbott Diabetes Care Kilkenny

Abbott Diabetes Care has opened a new site, in Kilkenny, that is at the forefront of Diabetes care with the latest technology, to manufacture Freestyle blood glucose test strips and Freestyle Sensors for use in diabetes management. Among Abbott Diabetes Care leading brands are the Freestyle Precision, Freestyle Lite and Freestyle Libre systems.

Main purpose of the role

We are seeking an experienced Senior Data Analyst to join our Engineering Data & Analytics team at our Kilkenny manufacturing facility. 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 o