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: Degree in a technical field and experience with structured data.
The predicted salary is between 35000 - 42000 ÂŁ per year.
The Data Products Specialist plays a key role in shaping and delivering analyticsâready 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 crossâfunctional 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 endâusers 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 2â4 years of experience working with structured data in support of analytics or reporting use cases, or an advanced degree with 0â2 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 crossâfunctional 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 problemâsolving 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 cloudâbased 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, crossâfunctional 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 officeâbased role with 2â3 days onsite. Relocation assistance is not available. This role is based in the RealâWorld & Clinical Data Strategy (RWCDS) team which drives data excellence and analytics to power enhanced decisionâmaking and evidenceâgeneration 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 in Welwyn Garden City employer: F. Hoffmann-La Roche Gruppe
Contact Detail:
F. Hoffmann-La Roche Gruppe Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Product Specialist in Welwyn Garden City
â¨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who work at companies you're interested in. A friendly chat can lead to insider info about job openings and even referrals.
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by practising common questions related to data product roles. Think about how your experience aligns with the job description and be ready to share specific examples.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Product Specialist in Welwyn Garden City
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with data products and analytics. We want to see how your skills align with the role of Data Product Specialist, so donât hold back on showcasing relevant projects!
Showcase Your Technical Skills: Since this role involves SQL and Python, be sure to mention any specific projects or experiences where youâve used these tools. We love seeing practical examples that demonstrate your technical prowess and problem-solving abilities.
Communicate Clearly: Your written communication skills are key! When explaining your experience, use clear and concise language. Remember, weâre looking for someone who can translate complex concepts into understandable terms, so keep it straightforward.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets to us quickly and efficiently. Plus, youâll find all the details you need about the role and our company culture there!
How to prepare for a job interview at F. Hoffmann-La Roche Gruppe
â¨Know Your Data Products
Before the interview, dive deep into understanding data products and their lifecycle. Familiarise yourself with how data is ingested, cleaned, and transformed, as well as the importance of usability and compliance. This will help you articulate your experience and show that you can contribute to shaping analytics-ready data products.
â¨Brush Up on Technical Skills
Make sure you're comfortable with SQL and Python, as these are crucial for the role. Practise writing queries and manipulating data, and be ready to discuss any relevant projects you've worked on. If you have experience with ETL tools or cloud-based systems, be prepared to share specific examples of how you've used them.
â¨Showcase Your Communication Skills
Since this role involves collaborating with various teams, it's essential to demonstrate your ability to communicate complex technical concepts clearly. Prepare to explain a past project where you had to translate user needs into data product requirements, highlighting how you built relationships with stakeholders.
â¨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving and critical thinking skills. Think of scenarios where you've encountered data quality issues or blockers in projects, and be ready to discuss how you approached these challenges. This will showcase your strategic agility and independent thinking.