At a Glance
- Tasks: Shape and deliver analytics-ready data products for impactful insights.
- Company: Join Roche, a leader in data excellence and innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and inclusion.
- Why this job: Make a real difference in healthcare through data-driven decision-making.
- Qualifications: Bachelor’s or Master’s in a technical field with 2-4 years of relevant experience.
The predicted salary is between 35000 - 45000 ÂŁ per year.
The Data Products Specialist plays a key role in shaping and delivering analytics‑ready data products that accelerate evidence generation and insight delivery. Sitting under the Data Product Lead, you will collaborate with engineering, governance, and domain teams to define data product specifications, design data pipelines, and ensure product usability and compliance. You will help translate scientific and operational needs into structured, scalable data products that enable reuse and facilitate insight generation across PD.
This role requires strong experience in data modeling, product thinking, and an understanding of cross‑functional data workflows in R&D. You support the development and maintenance of curated datasets and data marts used for clinical and operational insights. You build proficiency in translating user needs into data product requirements, specifications, and roadmaps. You understand organizational needs and data challenges that drive the need for foundational data products that improve interoperability, reusability, and downstream analysis.
You assist with data ingestion, cleaning, and standardization processes under the guidance of senior colleagues. You participate in implementing and testing transformations to ensure data consistency, traceability, and alignment with business rules. You document data sources, assumptions, and transformations to promote transparency and reuse. You build relationships with business stakeholders and end‑users to advocate for data products, fostering trust and enhancing value. You contribute to troubleshooting data quality issues and collaborating with engineering or product partners to resolve blockers. You contribute to KPIs and usage metrics tracking for continuous improvement.
Who you are:
You hold a Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, Bioinformatics, or a related technical discipline. You have a minimum of 2–4 years of experience working with structured data in support of analytics or reporting use cases, or an advanced degree with 0–2 years of equivalent work experience. You have working knowledge of SQL or Python and familiarity with data versioning or ETL tools. You are able to learn quickly in a cross‑functional environment and contribute to multiple projects in parallel. You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles. You bring excellent strategic agility including problem‑solving and critical thinking skills, and agility that extends beyond the technical domain. You demonstrate respect for cultural differences when interacting with colleagues in the global workplace. You have excellent verbal and written communication skills, specifically in the areas of presentation and writing, with the ability to explain complex technical concepts in clear language.
Preferred:
- Experience in biomedical data use cases and familiarity with basic data modeling concepts.
- Exposure to cloud‑based tools or version control systems (e.g., Git, Airflow, S3).
- Strong communication and documentation skills, including the ability to clearly explain datasets to end users.
- Ability to work within Agile frameworks, including SAFe, to drive iterative development, cross‑functional collaboration, and efficient backlog management.
- Experience applying product management principles to data assets with observed contributions to data product design and implementation across organizational silos.
This is an office‑based role with 2–3 days onsite. Relocation assistance is not available. This role is based in the Real‑World & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decision‑making and evidence‑generation within Roche Product Development.
At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.
Data Product Specialist employer: F. Hoffmann-La Roche Gruppe
Contact Detail:
F. Hoffmann-La Roche Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at Roche or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL or Python. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by understanding Roche's data products and their impact on decision-making. Tailor your responses to highlight how your experience aligns with their needs, especially in data modelling and product thinking.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the team at Roche.
We think you need these skills to ace Data Product Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Product Specialist role. Highlight your experience with data modelling, product thinking, and any relevant projects that showcase your skills in analytics-ready data products.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL or Python! We love seeing candidates who can demonstrate their technical abilities, especially if you have experience with ETL tools or cloud-based systems.
Communicate Clearly: Since this role involves explaining complex concepts, make sure your written application is clear and concise. Use straightforward language to describe your experiences and how they relate to the job requirements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at F. Hoffmann-La Roche Gruppe
✨Know Your Data Inside Out
As a Data Product Specialist, you’ll need to demonstrate your understanding of data modelling and analytics. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools in past projects. Prepare examples that showcase your ability to translate complex data into actionable insights.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Think of specific instances where you’ve successfully worked with engineering or governance teams to deliver data products. Be prepared to discuss how you build relationships and advocate for user needs.
✨Communicate Clearly and Effectively
Strong communication skills are key for this position. Practice explaining technical concepts in simple terms, as you may need to present your ideas to non-technical stakeholders. Consider preparing a brief presentation on a data project you’ve worked on, focusing on how you documented data sources and transformations.
✨Demonstrate Your Problem-Solving Agility
The interviewers will be looking for your strategic agility and problem-solving skills. Prepare to discuss challenges you've faced in data workflows and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses and illustrate your critical thinking abilities.