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Data Analyst - Manufacturing & Digital Enablement

ID da vaga
501864
Publicado desde
09-Apr-2026
Área de trabalho
Engineering
Empresa
Siemens HC Ltd. MR Magnet Technology
Nível de experiência
Profissional Experiente
Anúncio da vaga
Tempo Integral
Modo de trabalho
Apenas escritório/presencial
Tipo de contrato
Permanente
Localização
  • Bicester - - Reino Unido
  • Oxford - - Reino Unido
Data Analyst – Manufacturing & Digital Enablement

At Siemens Healthineers, we pioneer breakthroughs in healthcare. Our technologies support clinicians and care teams around the world to make confident decisions and deliver better outcomes for patients. Behind this mission sits a strong operational backbone, where data, insight and digital capability play a vital role in shaping how we work today and how we build the factory of the future.

We are now looking for a Data Analyst to join our manufacturing enablement environment. This is a hands‑on role for someone who enjoys being close to operations, building trusted data foundations, and turning practical insights into real improvements on the shop floor.

About the role:

This role sits at the intersection of manufacturing processes and data analytics. You will focus on how operational data is captured, structured and used across manufacturing and supply chain activities. Rather than working purely with existing datasets, you will help shape how data is collected in the first place — from systems, sensors and physical tools — and ensure it is reliable, meaningful and trusted.

You will work as an individual contributor, collaborating closely with manufacturing, enablement and IT teams. Your work will help establish the foundations for future digital transformation initiatives, including advanced analytics and automation.

What you’ll be doing:

  • Designing and implementing data collection approaches across manufacturing and supply chain environments, including system‑based and physical data sources
  • Deploying and integrating analytics solutions such as dashboards, KPIs and monitoring tools into day‑to‑day operational workflows
  • Configuring, validating and maintaining data pipelines to ensure accuracy, consistency and availability of operational data
  • Supporting the deployment of performance dashboards covering areas such as productivity, quality, yield, scrap and schedule adherence
  • Working directly with end users on the shop floor and in enablement teams to support adoption, training and effective use of data tools
  • Acting as a first point of contact for troubleshooting data and analytics issues, escalating where required
  • Maintaining clear documentation for data flows, KPI definitions and user guidance
  • Performing root‑cause analysis on data‑related operational issues and translating findings into practical recommendations
  • Gathering feedback from users and continuously improving solutions to better support operational decision‑making
  • Supporting standardisation of KPIs and reporting across sites and contributing to continuous improvement initiatives

What skills and experience you’ll bring:

  • Experience working with data and analytics in a manufacturing, industrial or supply chain environment
  • Hands‑on experience with business intelligence and visualisation tools such as Power BI
  • Familiarity with data integration and pipeline concepts, including tools and platforms such as Azure, SQL, APIs and SAP data structures
  • An understanding of how operational data is generated on the shop floor and how it can be used to improve performance
  • The ability to translate complex data into clear, practical insights for a range of stakeholders
  • Strong communication and collaboration skills, with confidence working across technical and non‑technical teams
  • A structured, curious and improvement‑focused mindset
  • A degree or equivalent experience in Data Analytics, Industrial Engineering, Supply Chain or a related discipline

What’s on offer:

  • Competitive base salary
  • 26 days annual leave with the option to buy up to 10 and sell up to 5
  • Up to 10% matched pension contributions
  • BUPA Private Medical insurance
  • Bonus & Share Save Scheme
  • Free to use on‑site gym
  • 2 paid volunteering days a year

Who we are:

We are a team of more than 73,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision‑making and treatment pathways.

How we work:

When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Siemens Healthineers are proud to be a Disability Confident Committed employer. If you require any adjustments at any stage of the recruitment process, please let us know.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalised job alerts that will keep you posted about new opportunities.

To all recruitment agencies:

Siemens Healthineers’ recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information and therefore recommend you refrain from any such practices. Your adherence to our policies is appreciated.