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- Tasks: Lead data analytics projects to optimise supply chain performance and drive digital transformation.
- Company: Join Varian Medical Systems, a Siemens Healthineers company, in a diverse and innovative environment.
- Benefits: Enjoy competitive pay, health insurance, retirement plans, and flexible working options.
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Degree in Computer Science, Supply Chain, or Data Analytics with relevant experience.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 60000 - 84000 £ per year.
Join us in pioneering breakthroughs in healthcare. Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.
Varian Medical Systems, a Siemens Healthineers company, is seeking a highly analytical, technically skilled, and results-oriented Project Manager with a Data Analytics emphasis to lead strategic data initiatives within Varian’s Supply Chain Plan & Materials organization. In this role, you will drive high-impact analytics, digital transformation, and process-improvement projects that enhance supply chain visibility, planning accuracy, operational efficiency, and overall performance.
You will partner closely with cross-functional teams to convert complex data into actionable insights, streamline core planning and materials workflows, and embed a culture of data-driven decision-making across SCM Plan & Materials. Preference is for a candidate who can be onsite 2 days/week at a Varian location.
What You Will Do- Lead cross-functional analytics and process improvement initiatives to optimize planning, purchasing, material flow, and overall supply chain performance.
- Analyze complex supply chain challenges using SAP data (MM, PP, MRP) and other enterprise systems to identify operational gaps, risks, and opportunities.
- Design, automate, and optimize data pipelines and reporting workflows to improve data accuracy, consistency, and timeliness across planning and procurement activities.
- Develop dynamic dashboards and visualizations (Power BI, Qlik Sense, etc.) to communicate performance trends, forecast accuracy, inventory health, material availability, and supplier performance.
- Collaborate with Material Master Data, Supply Chain, Operations, Procurement, Finance, and IT partners to ensure analytics initiatives align with business objectives and digital transformation strategies.
- Establish and maintain strong data governance practices across SAP and analytics platforms to support reliable, real-time decision-making.
- Champion analytics adoption and data literacy, enabling planners, buyers, and leaders to leverage insights in daily operations and strategic planning.
- Drive continuous improvement, documenting processes, standardizing data workflows, and implementing scalable solutions that enhance supply chain visibility and responsiveness.
- Bachelors degree in: Computer Science, Supply Chain, Data Analytics, or related field and 3+ years of experience OR Masters degree and 1+ years of experience.
- Proven experience in project management and data analytics within a supply chain, operations, or manufacturing environment.
- Advanced SAP expertise in planning and purchasing processes, including MRP, BOM management, source list/Info Records, and production planning (MM, PP, related modules).
- Track record of leading analytics and process optimization projects from concept through execution, delivering measurable improvements in performance.
- Strong analytical and problem-solving capabilities, with the ability to translate data into actionable insights and process enhancements.
- Proficiency with data visualization and analytics tools (Power BI, Qlik Sense) and data analysis languages/tools (SQL, VBA, Python, or R).
- High attention to detail and strong commitment to data quality, accuracy, and governance.
- Exceptional communication, collaboration, and stakeholder management skills, with demonstrated ability to influence across all organizational levels.
- Experience in supply chain analytics, including forecasting, inventory optimization, and supplier performance measurement.
- Experience with SAP analytics and data integration technologies (BW, HANA, or Snowflake-based data platforms).
- Knowledge of Lean, Six Sigma, Agile, or other continuous improvement/digital transformation methodologies.
- Experience developing and deploying machine learning or AI models to support predictive and prescriptive analytics.
Project Manager - Data Analytics (Supply Chain) in Oxford employer: Siemens Healthineers
Contact Detail:
Siemens Healthineers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Manager - Data Analytics (Supply Chain) in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Varian or similar companies. A friendly chat can open doors and give you insights that might just help you land that Project Manager role.
✨Tip Number 2
Prepare for the interview by diving deep into data analytics and supply chain trends. Brush up on your SAP knowledge and be ready to discuss how you've tackled complex challenges in the past. Show us your analytical prowess!
✨Tip Number 3
Don’t forget to showcase your soft skills! Communication and collaboration are key in this role. Think of examples where you’ve successfully worked with cross-functional teams to drive results. We want to see how you can influence and inspire others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our mission to pioneer breakthroughs in healthcare. Let’s make it happen together!
We think you need these skills to ace Project Manager - Data Analytics (Supply Chain) in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Project Manager role. Highlight your data analytics expertise and any relevant project management experience in supply chain settings.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about healthcare and how your background makes you a great fit for our team. Be sure to mention specific projects or achievements that showcase your analytical skills.
Showcase Your Technical Skills: Don’t forget to include your proficiency with tools like SAP, Power BI, and any programming languages you know. We love seeing candidates who can turn complex data into actionable insights!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Siemens Healthineers
✨Know Your Data Inside Out
As a Project Manager with a focus on Data Analytics, it's crucial to be well-versed in the data you'll be working with. Familiarise yourself with SAP data structures and how they relate to supply chain processes. This will not only help you answer technical questions but also demonstrate your analytical skills.
✨Showcase Your Project Management Skills
Prepare to discuss specific projects you've led that involved data analytics and process improvement. Use the STAR method (Situation, Task, Action, Result) to structure your responses, highlighting measurable outcomes. This will show your ability to drive high-impact initiatives effectively.
✨Demonstrate Your Collaborative Spirit
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with different departments. Emphasise your communication and stakeholder management skills, as these are key to fostering a culture of data-driven decision-making.
✨Prepare for Technical Questions
Brush up on your knowledge of data visualisation tools like Power BI and Qlik Sense, as well as programming languages such as SQL or Python. Be prepared to discuss how you've used these tools to create dashboards or automate reporting workflows, showcasing your technical prowess.