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- Tasks: Enhance data modelling and governance while collaborating with product and content teams.
- Company: Leading life sciences data solutions provider in Greater London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a transformative team driving data-driven innovation in the biopharma sector.
- Qualifications: Relevant degree, 5+ years in biopharma intelligence, and strong SQL skills.
- Other info: Be part of a dynamic environment focused on operational efficiency and client engagement.
The predicted salary is between 48000 - 72000 £ per year.
A life sciences data solutions provider in Greater London is seeking a Senior Analyst to enhance data modeling and governance. This role involves collaboration with product and content teams and is crucial for operational efficiency and data strategy.
Candidates should have:
- A relevant degree
- Over 5 years of experience in biopharma intelligence
- Excellent SQL skills
The position supports transformative programs, emphasizing data-driven innovation and client engagement.
Senior Ontology & Taxonomy Analyst — AI Data Strategy employer: Norstella
Contact Detail:
Norstella Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ontology & Taxonomy Analyst — AI Data Strategy
✨Tip Number 1
Network like a pro! Reach out to folks in the life sciences and biopharma sectors. LinkedIn is your best mate here—connect with people who work at companies you're interested in and engage with their content.
✨Tip Number 2
Show off your SQL skills! Prepare for interviews by brushing up on your SQL knowledge. You might get asked to solve real-world problems, so practice those queries and data manipulation techniques.
✨Tip Number 3
Tailor your approach! When you apply through our website, make sure to highlight your experience in biopharma intelligence and how it aligns with the role. Customise your pitch to show why you're the perfect fit for enhancing data modelling and governance.
✨Tip Number 4
Prepare for collaborative discussions! Since this role involves working with product and content teams, think about examples from your past where you've successfully collaborated. Be ready to share how you can contribute to operational efficiency and data strategy.
We think you need these skills to ace Senior Ontology & Taxonomy Analyst — AI Data Strategy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in biopharma intelligence and data modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven innovation and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Collaboration Skills: Since this role involves working closely with product and content teams, make sure to mention any past experiences where you’ve successfully collaborated. We love seeing teamwork in action!
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’s super easy!
How to prepare for a job interview at Norstella
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data modelling and governance. Be prepared to discuss specific examples from your past experience in biopharma intelligence, as this will show your depth of understanding and how you can contribute to their data strategy.
✨Showcase Your SQL Skills
Since excellent SQL skills are a must for this role, be ready to demonstrate your proficiency. You might be asked to solve a problem or explain how you've used SQL in previous projects, so practice some common queries and be confident in your abilities.
✨Collaboration is Key
This position involves working closely with product and content teams, so highlight your teamwork experience. Prepare examples of how you've successfully collaborated in the past, focusing on communication and problem-solving skills that led to operational efficiency.
✨Emphasise Data-Driven Innovation
The role supports transformative programmes, so be ready to discuss how you've driven innovation through data in your previous roles. Think about specific projects where your insights led to significant improvements or client engagement, and be prepared to share those stories.
