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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 daily rate, flexible working arrangements, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for digital products.
- Qualifications: Strong data analysis skills and experience with structured and unstructured datasets.
- Other info: Collaborative environment with exposure to cutting-edge data technologies.
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 employer: Fuse Group
Contact Detail:
Fuse Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨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! If you can, work on personal projects or contribute to open-source data initiatives. This not only sharpens your skills but also gives you something tangible to discuss during 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 your passion for data!
✨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
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 you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: In your application, don’t just list your skills—show us how you’ve used them! Talk about your experience with structured and unstructured datasets, and give examples of how you've tackled data quality issues. This will help us see your practical knowledge.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate straightforward communication, especially when it comes to defining data requirements and specifications.
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 get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter team!
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 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 Interaction
Since the role involves working closely with stakeholders, think of examples where you've successfully collaborated with others to define data requirements. Practice articulating how you translate business needs into clear data specifications, as this is crucial for the position.
✨Showcase Your Technical Skills
Brush up on your knowledge of data pipelines, ETL processes, and APIs. Be ready to discuss any relevant tools or systems you've used, such as LIMS, ERP, or CRM systems. This will help you stand out as someone who can hit the ground running in a complex data environment.