Analytics Engineer

## Analytics Engineer Apply remote type:
Remote locations:
CEY BO:
MAD MAtime type:
Full time posted on:
Posted Todayjob requisition :
R-29354

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  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.
** 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.

To find out more about Healthineers’ specific businesses, please visit our company page here.

As an equal opportunity employer, we welcome applications from individuals with disabilities.
** Data Privacy**:
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. We ask…