Data and Analytics Specialist II

Location: Clonmel IE-TA, Ireland | N/A

Department: Data Science & Business Intelligence

Work Location: onsite

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

Advancing possibilities for a brighter tomorrow

We are seeking a Data and Analytics Specialist II on a permanent basis to join our team.

Job Purpose:

Supports Digitalisation Programmes by building governed data pipelines, curated datasets and analytics that connect manufacturing and enterprise systems. The role converts stakeholder requirements into scalable reports, metrics and digital workflows that improve data integrity, traceability and timely decision-making. Working across business functions, quality, cybersecurity and compliance teams, the Data Engineer enables reusable supply-chain capabilities, operational efficiency and trusted insight across global operations.

Key Responsibilities:

• Design, build and maintain ETL/ELT pipelines across MES, SAP, historians, equipment and enterprise sources.
• Assess data quality; implement automated validation, monitoring, lineage and audit controls.
• Develop reusable semantic layers, analytics and visualisations supporting Constellation supply-chain use cases.
• Optimise batch and streaming performance and maintain scalable, documented data processes.
• Partner with business, quality, cybersecurity and compliance teams to deliver secure, traceable solutions.

Education & Experience:

Education & Certifications

• Honours bachelor’s degree (level 8) or higher in Computer Science, Engineering, Data Analytics or a related discipline, or equivalent experience.
• Practical knowledge of SQL, Python, orchestration, data lakes/warehouses, integrations, reporting and data visualisation.
• Understanding of descriptive and diagnostic analytics; exposure to predictive analytics is advantageous.

Experience

• Typically 3–5+ years of relevant experience in data engineering, data analytics, software development or manufacturing systems.
• Demonstrated experience designing, building and supporting production-grade ETL/ELT pipelines, curated datasets and data integrations using SQL, Python and modern orchestration tools.
• Experience integrating data from enterprise and operational systems such as SAP, MES, equipment, historians, APIs, data lakes or cloud platforms.
• Practical experience implementing data-quality checks, monitoring, metadata, lineage, access controls and documented support processes.
• Able to investigate defined complex technical problems, assess options, communicate recommendations and deliver agreed outcomes with appropriate guidance.
• Proven ability to manage priorities, document work, meet deadlines and contribute effectively both independently and within multidisciplinary teams.

Core Competencies

• ETL/ELT pipeline development, SQL, Python and API integration
• Data warehousing, semantic modelling, reporting and visualisation
• Cloud and data platforms such as Azure, AWS, Snowflake and Spark
• Data quality, performance optimisation, automation and monitoring
• Requirements gathering, stakeholder collaboration and clear communication
• Basic analytics/ML tooling, including Pandas, scikit-learn, Keras or PyTorch

Key Standards & Practices (as applicable)

• Boston Scientific Quality Policy and documented quality processes, with commitment to patient safety and product quality
• Data governance, master data, quality, metadata, lineage and controlled access
• Privacy-by-design, GDPR, ISO/IEC 27001, NIST CSF and IEC 62443, as applicable
• ISA-95, ISA-88, OPC UA and MQTT/Sparkplug for industrial integration, where applicable
• Governed, documented and reusable delivery aligned with Constellation architecture and compliance requirements

A good working knowledge of Boston Scientific systems a distinct advantage.
The successful candidate must be a self-starter with the ability to work on own initiative, while possessing strong team player characteristics.

As a leader in medical science for more than 40 years, we are committed to solving the challenges that matter most – united by a deep caring for human life. Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives, create value for our customers, and support our employees and the communities in which we operate. Now more than ever, we have a responsibility to apply those values to everything we do – as a global business and as a global corporate citizen.

So, choosing a career with Boston Scientific isn’t just business, it’s personal. And if you’re a natural problem-solver with the imagination, determination, and spirit to make a meaningful difference to people worldwide, we encourage you to apply and look forward to connecting with you!

To search and apply for open positions, visit: https://bostonscientific.eightfold.ai/careers

At Boston Scientific, we recognise that nurturing a diverse and inclusive workplace helps us be more innovative. It is essential in advancing science for life and improving patient health. We stand for inclusion, equality, and opportunity for all. By embracing the richness of our unique backgrounds and perspectives, we create a better, more rewarding place for our employees to work and reflect the patients, customers, and communities we serve. Boston Scientific is proud to be an equal opportunity and affirmative action employer. Boston Scientific is committed to providing reasonable accommodations for applicants and employees with a disability. Should you require a reasonable accommodation during the recruitment process, please email TalentAcquisitionIre@bsci.com