Analytics Engineer

Posted 22 Days Ago
Be an Early Applicant
El Ceybo, Paimas, Ayabaca, Piura, PER
In-Office
Mid level
Healthtech • Biotech
The Role
Build analytics-ready data models, semantic layers and automated pipelines in Snowflake/dbt. Create trusted datasets and KPIs, enable Power BI reporting and self-service analytics, improve data quality, governance and automation, and collaborate with engineers and stakeholders to support AI-enabled analytics.
Summary Generated by Built In

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.

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 instead that you create a profile where you can upload your CV. Setting up a profile also lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Register here to get started.

Beware of Job Scams: Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as Siemens Healthineers recruiters/employees.  These scammers may attempt to collect your confidential personal or financial information.  If you are concerned that an offer of employment with Siemens Healthineers might be a scam or that the recruiter is not legitimate, please verify by searching for the posting on the Siemens Healthineers career site.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees, or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes. As an equal opportunity employer, we welcome applications from individuals with disabilities.

Skills Required

  • Experience in Analytics Engineering, Data Engineering, BI Development or similar data-focused role
  • Strong SQL skills
  • Hands-on experience with Snowflake
  • Experience with dbt
  • 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

Varian Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Varian and has not been reviewed or approved by Varian.

  • Healthcare Strength Health coverage is described as comprehensive with multiple U.S. medical plan options, virtual care, and targeted support programs for complex needs. Feedback suggests this breadth contributes meaningfully to overall benefits satisfaction.
  • Retirement Support A 401(k) savings plan with company contributions and a defined vesting schedule is part of the package. Investment guidance and a brokerage window reinforce long‑term financial planning support.
  • Flexible Benefits A global framework with Varian‑specific country overviews and site‑dependent perks indicates adaptable offerings by location. U.S. materials highlight choice among HRA/HSA designs and regional HMOs where available.

Varian Insights

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The Company
HQ: Palo Alto, CA
10,000 Employees

What We Do

At Varian, a Siemens Healthineers company, we envision a world without fear of cancer. For more than 70 years, we have developed, built and delivered innovative cancer care technologies and solutions for our clinical partners around the globe to help them treat millions of patients each year. With an Intelligent Cancer Care approach, we are harnessing advanced technologies like artificial intelligence, machine learning and data analytics to enhance cancer treatment and expand access to care. Our 10,000 employees across 70 locations keep the patient and our clinical partners at the center of our thinking as we power new victories in cancer care. Because, for cancer patients everywhere, their fight is our fight.

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