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- Tasks: Design and build data pipelines and dashboards to drive healthcare insights.
- Company: Join Springer Nature, a leader in global medical communications and education.
- Benefits: Enjoy a competitive salary, hybrid work options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Strong SQL skills and experience with Google Cloud Platform are essential.
- Other info: Be part of a diverse team committed to innovation and inclusivity.
The predicted salary is between 45000 - 55000 £ per year.
Location: Chester, Manchester or London (Hybrid)
Full Time, Permanent
Application Deadline: Monday 6th April, 2026
Springer Nature opens the doors to discovery for researchers, educators, clinicians and other professionals. Every day, around the globe, our imprints, books, journals, platforms and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities and today, more than ever, we see it as our responsibility to ensure that fundamental knowledge can be found, verified, understood and used by our communities – enabling them to improve outcomes, make progress, and benefit the generations that follow.
About Springer Health+ (SH) (part of the Springer Nature Group): Springer Health+ is a leading global medical communications and education provider. Working in partnership with pharmaceutical companies and key opinion leaders. At Springer Health+, we see beyond the data – we see the people behind every breakthrough. We do more than help experts across the medical community keep up with science; we help them move it forward, making healthcare smarter and more human.
The Analytics Developer role is a unique opportunity to shape the future of data-driven decision-making in a global medical communications and education agency. As healthcare clients increasingly demand sophisticated insights and real-time performance metrics, this position sits at the heart of our digital transformation toward advanced analytics across our business.
Reporting to our Analytics Manager you will be instrumental in building the technical backbone that powers our analytics capabilities—developing scalable data pipelines, creating visually impactful dashboards, and ensuring compliance with stringent data governance standards. Your work will directly influence decision making in product development, optimization of internal production workflows, and enhance the value we deliver to clients through new data insights products we are developing.
Job Role:
- Design, build and maintain ETL pipelines
- Develop and build data models that are optimised for efficiency and analysis
- Produce visually appealing and functional dashboards for Independent Medical Education activities and MedComms
- Work with external developers to advise on tracking and data requirements
- Implement automated data retention and compliance processes
- Provide cost-effective recommendations on technical infrastructure and data architecture
Skills, Experience, Qualifications:
Essential:
- Advanced working knowledge of SQL (BigQuery) & Google Cloud Platform (GCP) tools
- Proficient in at least one scripting language - JS/Python/R
- Ability to build and maintain scalable analytics pipelines within GCP
- Working knowledge of Web Analytics (preferably GA4)
- Ability to create clear and impactful visual representations of complex data
- Hands-on experience with Google Cloud data stack and dashboarding tools
- Working with stakeholders to understand reporting requirements and delivering complex analytics solutions under tight timelines
Desired Skills:
- Familiarity with data governance and compliance requirements
- Experience creating dashboards in Looker (Data) Studio
- Previous experience in analytics development or analytics engineering roles
Springer Nature is a Disability Confident Committed Employer and we encourage applications from candidates with disabilities. If you consider yourself to have a disability or learning difficulty and wish to submit your application in an alternative format or would like to discuss reasonable adjustments during the application and interview process, please get in touch either by phone on +44 (0)207 014 4020 or by email emeacareers@springernature.com so we can make any necessary arrangements. At Springer Nature we value and celebrate the diversity of our people. We recognise the many benefits of a diverse workforce and strive for an inclusive workplace that empowers all our colleagues to thrive. Our search for the best talent fully encompasses and embraces these values and principles.
Analytics Engineer: Data Pipelines & Dashboards (Hybrid) employer: Springer Nature
Contact Detail:
Springer Nature Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Data Pipelines & Dashboards (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and dashboards. This is your chance to demonstrate what you can do, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and GCP knowledge. Be ready to discuss your past projects and how you've tackled challenges in analytics development. Practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate—get your application in today!
We think you need these skills to ace Analytics Engineer: Data Pipelines & Dashboards (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Developer role. Highlight your experience with SQL, GCP, and any relevant scripting languages. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our mission at Springer Health+. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any relevant projects, don’t hesitate to showcase them! Whether it's building dashboards or developing data pipelines, we love seeing real examples of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands and stands out to us!
How to prepare for a job interview at Springer Nature
✨Know Your Tech Stack
Make sure you brush up on your SQL, Google Cloud Platform, and any scripting languages like Python or JavaScript. Be ready to discuss how you've used these tools in past projects, especially when it comes to building data pipelines and dashboards.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex analytics challenges. Think about specific situations where you had to meet tight deadlines or work with stakeholders to deliver impactful insights. This will demonstrate your ability to think critically and adapt under pressure.
✨Visuals Matter
Since the role involves creating visually appealing dashboards, be prepared to discuss your approach to data visualisation. Bring examples of your previous work, and explain how you ensure clarity and impact in your designs. This will show that you understand the importance of effective communication through visuals.
✨Understand the Company’s Mission
Familiarise yourself with Springer Nature's goals and values, especially their focus on healthcare and education. Being able to articulate how your skills align with their mission will set you apart and show that you're genuinely interested in contributing to their success.