Siemens Healthineers
Analytics Engineer

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Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.
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.
Analytics Engineer
Customer Service Data Team | Crawley, UK or Madrid, Spain
Help shape the future of data, analytics and AI
We're looking for an Analytics Engineer to join our Customer Service Data team and help transform data into trusted insights that drive business decisions.
In this role, you'll bridge the gap between data engineering and analytics, building scalable data models, semantic layers and automated data pipelines that power reporting, dashboards and next-generation AI solutions. You'll work with modern technologies including Snowflake, Power BI, dbt and AI-enabled analytics platforms to create a single source of truth for our business.
What you'll do
- Design and develop analytics-ready data models and semantic layers in Snowflake.
- Build scalable data transformations and automated data quality processes.
- Create trusted datasets and standardised KPIs that support consistent reporting.
- Partner with Data Engineers, BI Developers and business stakeholders to deliver meaningful insights.
- Drive data governance, documentation and business-friendly data definitions.
- Support self-service analytics and AI-powered reporting capabilities.
- Improve data reliability, performance and automation across the analytics ecosystem.
What you'll bring
- Experience in Analytics Engineering, Data Engineering, BI Development or a similar data-focused role.
- Strong SQL skills and hands-on experience with Snowflake.
- Experience building semantic models and analytics solutions in Power BI.
- Understanding of data warehousing concepts, including fact and dimension modelling.
- Experience developing and maintaining data pipelines, transformations and testing frameworks.
- Familiarity with version control and modern data development practices.
- Interest in AI, automation and advanced analytics.
- Strong communication and collaboration skills.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Why join us?
This is an opportunity to work on high-impact data initiatives that support a global healthcare business. You'll play a key role in building the foundations for advanced analytics, self-service reporting and AI-driven decision-making while working with modern cloud technologies and a highly collaborative team.
If you're passionate about turning data into insight and shaping the future of analytics, we'd love to hear from you.
Who we are
We are a team of more than 72,000 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.


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