Senior Data Analyst

Abbott Laboratories; Kilkenny; Presencial; EUR 65 000 - 95 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Family health insurance

Life assurance

Fantastic new facility

Growing business benefits

Resumo da oferta

Abbott Laboratories in Kilkenny is seeking a Senior Data Analyst to join the Engineering Data & Analytics team at the Kilkenny manufacturing facility.

You will transform complex data into meaningful insights, develop KPIs, dashboards and self-service analytics, and partner with Operations, Engineering, Quality, Supply Chain and site leadership to drive continuous improvement.

Qualificações

• Bachelor's degree in engineering, data analytics, statistics, mathematics, CS, or related field.
• Significant experience in data analytics, BI, operational/engineering analytics.
• Strong analytical and problem-solving skills with complex datasets.
• Advanced SQL and large dataset querying.
• Experience with Python or similar scripting for automation.
• Ability to communicate insights to technical and business audiences.
• Experience working with cross-functional stakeholders in fast-paced environments.

Responsabilidades

• Deliver data-driven business insights from manufacturing and operations.
• Develop KPIs and metrics to support business objectives.
• Create dashboards, reports, visualisations, and self-service analytics.
• Collaborate with data engineers to ensure reliable data.
• Support global analytics projects at Kilkenny site.
• Mentor junior analysts and promote fact-based decision making.

Conhecimentos

Advanced SQL

Python

Data analytics

Stakeholder communication

Cross-functional collaboration

Formação académica

Bachelor's degree in Engineering/Data Analytics/Statistics/Mathematics/Computer Science/Business Analytics

Ferramentas

Databricks

Spark

Descrição da oferta de emprego

Location Ireland - Kilkenny Category Operations

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 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.

This is for a new position to be located in Kilkenny, Ireland, but working as part of the Engineering Data & Analytics team within ADC's Global Engineering function.

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.
• 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.
• 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,
• Life assurance
• Fantastic new facility
• Growing business plus access to many more benefits.

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.

DIVERSITY & INCLUSION

We strive to provide environments where all employees feel welcome and able to bring their full selves to work. To do this we integrate diversity, equity, and inclusion across Abbott.

SUSTAINABILITY FOR OUR FUTURE

At Abbott, sustainability means managing our efforts so we can help the greatest number of people around the world live fuller lives through better health.

WE'RE RECOGNIZED AROUND THE WORLD

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BEST CORPORATE CITIZENS

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THE WORLD

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JOIN OUR TALENT COMMUNITY

We will notify you about relevant positions, and keep you in mind when we have interesting opportunities.

An Equal Opportunity Employer
Abbott is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Employment decisions are based on qualifications, merit, and business needs.
We provide reasonable workplace accommodations. U.S. residents only: To request accommodation, please call 224-667-0340or email [e-mail] .
Abbott is committed to pay equity and transparency. Compensation is determined using objective, job-related, and gender-neutral criteria in compliance with applicable laws and local regulations.

Job Id

31162593

Location

Ireland - Kilkenny

Medical surveillance

Not Applicable

Division

ADC Diabetes Care

Travel

Not specified