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- Tasks: Lead strategic analysis of complex datasets and develop impactful data products.
- Company: Market-leading client with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: 4+ years in Data Analysis, strong SQL and Python skills required.
- Other info: Engage with cross-functional teams and drive innovative data solutions.
The predicted salary is between 36000 - 60000 £ per year.
Profectus have partnered with a market leading client hiring a Senior Data Analyst. The role will be on a hybrid basis, 2 days on-site in Newbury per week required.
You’ll be responsible for leading the strategic analysis and interpretation of complex datasets. Your work will directly inform the development of data products that influence key business and research outcomes. This is a cross-functional role with direct interaction across data engineering, product teams, and stakeholders, both technical and non-technical.
You’ll play a vital part in building repeatable, scalable analytical solutions, providing actionable insights, and supporting innovation in a data-first environment.
Key Responsibilities:
- Conduct detailed technical analysis of structured and unstructured data to assess structure, quality, and usability.
- Translate complex business requirements into robust data solutions and modelling frameworks.
- Collaborate with internal stakeholders and clients to gather requirements and deliver high-impact data insights.
- Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle.
- Drive Agile ways of working – contributing to backlog refinement, defining outcomes, and supporting user acceptance testing.
- Support delivery of data products through collaborative work with engineering and architecture teams.
Essential Experience & Skills:
- Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role.
- Strong experience in SQL (writing and optimising complex queries).
- Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy).
- Experience working with large datasets, and advanced data modelling techniques.
- Ability to engage with stakeholders and translate their needs into actionable data solutions.
- Solid understanding of data structures, schemas, and normalisation principles.
- Skilled in creating impactful data visualisations and dashboards.
- Familiarity with data quality and governance principles.
Desirable (or trainable) Experience:
- Tools such as Power BI, Alteryx, Azure Synapse, or Azure Fabric.
- Data modelling methodologies such as 3NF, Kimball, or Data Vault.
If this sounds like an interesting position to you, please apply with an up-to-date CV for immediate consideration.
Senior Data Analyst employer: Profectus Recruitment
Contact Detail:
Profectus Recruitment 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 on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've tackled complex datasets and delivered insights.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask about the next steps in the hiring process.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals like you, and applying directly through us can give you a better chance of standing out!
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 experience with SQL, Python, and any relevant data modelling techniques. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've conducted detailed analysis or created impactful data visualisations. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's necessary. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Profectus Recruitment
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you overcame them. This will show your expertise and ability to handle complex data.
✨Brush Up on SQL and Python
Since the role requires strong SQL and Python skills, make sure you're comfortable writing and optimising queries. Practise coding problems or data manipulation tasks using libraries like Pandas and NumPy. Being able to demonstrate your technical prowess will set you apart.
✨Prepare for Stakeholder Engagement
Think about how you've previously engaged with both technical and non-technical stakeholders. Prepare examples of how you translated their needs into actionable insights. This will highlight your communication skills and ability to collaborate effectively.
✨Showcase Your Visualisation Skills
Be ready to discuss how you've created impactful data visualisations in the past. If possible, bring along a portfolio or examples of dashboards you've built. This will demonstrate your ability to present data in a clear and engaging way, which is crucial for this role.