17 часов назад
Specialist Business Analyst (Data, Analytics & Digital Automation)
73 580 - 99 549€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Specialist Business Analyst (Data, Analytics & Digital Automation) (Data, Analytics & Digital Automation): Designing and delivering digital, analytics, automation, and AI solutions for manufacturing operations with an accent on requirements engineering, regulated-system validation, and stakeholder collaboration. Focus on structuring use cases, managing Agile backlogs, coordinating testing and releases, and applying data analysis and automation to improve manufacturing performance.
Location: Hybrid role based in Dublin, Ireland, with regular on-site presence required at the Dun Laoghaire manufacturing facility.
Salary: €73,580.25–€99,549.75 per year
Company
develops treatments and is transforming its manufacturing operations through data and analytics, digital automation, and emerging AI capabilities.
What you will do
- Capture demand, clarify requirements, and structure use cases for digital, analytics, and automation initiatives with Manufacturing, Engineering, and Quality teams.
- Create and manage user stories, acceptance criteria, and Agile backlogs.
- Support the solution delivery lifecycle, including testing, validation, documentation, and release coordination.
- Collaborate with developers, data engineers, and data scientists to ensure requirements are implemented accurately.
- Contribute to AI and digital automation use cases using ChatGPT, scripting, and low-code/no-code platforms.
- Support process mapping, data analysis, and continuous improvement initiatives for manufacturing performance.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline, plus 5+ years of experience in Information Systems, Digital, or Data & Analytics roles.
- Strong experience in business analysis, requirements gathering, process mapping, Agile delivery, user stories, backlog management, and sprint support.
- Understanding of SDLC and experience supporting testing and validation activities.
- Experience in regulated environments, including GxP, data integrity, or validation, or willingness to learn.
- Strong communication, stakeholder engagement, analytical, and problem-structuring skills.
- Fluency in written and spoken English is required.
Nice to have
- Experience in pharmaceutical, biotechnology, or manufacturing environments.
- Exposure to data analytics, visualization tools, SQL, or Python.
- Experience with digital automation, scripting, or low-code platforms.
- Interest or experience in AI, machine learning, or Generative AI applied to business problems.
- Familiarity with LEAN, Kaizen, or cross-functional matrix environments.
Culture & Benefits
- Flexible hybrid work arrangements aligned with role and business needs.
- Opportunities for professional learning, growth, and development within a global organisation.
- Collaborative and inclusive working environment.
- Competitive Total Rewards Plan.
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