At a Glance
- Tasks: Transform data into insights that drive business decisions and support healthcare initiatives.
- Company: Join Siemens Healthineers, a leader in medical technology with a diverse global team.
- Benefits: Flexible work environment, professional growth opportunities, and a chance to make a real impact.
- Other info: Be part of a mission-driven team dedicated to pioneering breakthroughs in healthcare.
- Why this job: Shape the future of analytics and AI in a collaborative and innovative setting.
- Qualifications: Experience in data-focused roles, strong SQL skills, and familiarity with modern data practices.
The predicted salary is between 45000 - 60000 £ per year.
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.
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.
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.
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.
Analytics Engineer in Crawley employer: Siemens Healthineers AG
Siemens Healthineers AG is an exceptional employer, offering a dynamic work environment in London where innovation meets patient care. Employees benefit from comprehensive training opportunities, a strong emphasis on teamwork, and a commitment to safety and quality standards. With a focus on professional growth and a supportive culture, this role as a Proton Therapy Systems Onsite Engineer provides a meaningful chance to contribute to cutting-edge healthcare technology.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer in Crawley
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Siemens Healthineers AG.
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We think you need these skills to ace Analytics Engineer in Crawley
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Siemens Healthineers AG, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Siemens Healthineers AG. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Siemens Healthineers AG
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Siemens Healthineers AG!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
