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- Tasks: Analyse and catalogue data, assess quality, and define requirements for new systems.
- Company: Join a leading laboratory digitisation programme with a focus on innovation.
- Benefits: Competitive pay of £600 per day, flexible working arrangements, and professional growth.
- Why this job: Make a real impact by shaping analytics-ready data models in a dynamic environment.
- Qualifications: Strong data analysis skills and experience with structured/unstructured datasets.
- Other info: Opportunity to work with cutting-edge technologies and collaborate with stakeholders.
We’re looking for a hands-on Data Lead / Senior Data Analyst to support a major laboratory digitisation programme. This role is ideal for someone who enjoys getting close to the data, understanding how it’s captured, structured, and used to drive analytics and digital products.
What you’ll be doing:
- Analyse and catalogue existing data sources, structures, and storage
- Assess data quality, gaps, duplication, and integrity issues
- Define data requirements, fields, and validation rules for new systems
- Work with stakeholders to shape analytics-ready, structured data models
- Support data cleansing, migration, and transformation activities
- Translate business and product needs into clear data specifications
- Collaborate on data architecture, integration (APIs/ETL), and reporting needs
What we’re looking for:
- Strong hands-on data analysis experience (profiling, structuring, validating data)
- Experience working with structured & unstructured datasets
- Solid understanding of data pipelines, ETL, APIs, or data warehousing
- Comfortable working directly with stakeholders to define data requirements
- Experience in regulated or complex data environments is a plus
Nice to have:
- Exposure to LIMS, ERP, or CRM systems
- Experience supporting analytics or digital product use cases
Senior Data Analyst in London employer: Fuse Group
Contact Detail:
Fuse Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the hunt for a Senior Data Analyst role. You never know who might have the inside scoop on an opportunity or can refer you directly.
✨Tip Number 2
Get your hands dirty with data projects! Whether it's through personal projects or contributing to open-source, showcasing your skills in real-world scenarios can make you stand out. Plus, it gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for those interviews by brushing up on your technical skills. Be ready to talk about your experience with data pipelines, ETL processes, and how you've tackled data quality issues in the past. We want to see that you can walk the walk!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your hands-on data analysis experience and any relevant projects that showcase your skills in profiling, structuring, and validating data.
Showcase Your Skills: In your cover letter, don’t just list your skills—show us how you’ve used them! Talk about specific instances where you’ve worked with structured and unstructured datasets or tackled data quality issues.
Be Clear and Concise: When writing your application, keep it clear and concise. We want to see your passion for data, but we also appreciate brevity. Make sure every word counts and directly relates to the role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Fuse Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis. Be ready to discuss specific projects where you’ve analysed, structured, and validated data. Highlight any challenges you faced and how you overcame them, as this shows your hands-on experience.
✨Understand the Role's Requirements
Familiarise yourself with the job description and the key responsibilities. Be prepared to explain how your skills align with their needs, especially around data quality assessment and defining data requirements. This will demonstrate that you’re not just a fit for the role but also genuinely interested in it.
✨Prepare for Stakeholder Scenarios
Since the role involves working closely with stakeholders, think of examples where you’ve successfully collaborated with others to define data requirements. Practice articulating these scenarios clearly, focusing on your communication skills and how you translated business needs into data specifications.
✨Brush Up on Technical Skills
Make sure you’re comfortable discussing data pipelines, ETL processes, and APIs. If you have experience with LIMS, ERP, or CRM systems, be ready to share how you’ve used these tools in your previous roles. This technical knowledge will set you apart from other candidates.