At a Glance
- 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.
- Other info: Engage with cross-functional teams and drive innovative data solutions.
- 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.
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 in Liverpool employer: Profectus Recruitment
Profectus is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Data Analyst role based in Newbury. With a hybrid working model, employees enjoy the flexibility of remote work while still engaging directly with cross-functional teams to drive impactful data solutions. The company prioritises employee growth through continuous learning opportunities and encourages a data-first approach that empowers analysts to make significant contributions to business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field and let them know you're on the lookout for a Senior Data Analyst role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL and Python skills. Be ready to showcase your ability to handle complex datasets and translate business needs into actionable insights. Practice common interview questions related to data analysis to boost your confidence.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you, and tailor your approach to each one. Show them why you’re the perfect fit for their team!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to remind them of your enthusiasm and fit for the Senior Data Analyst position.
We think you need these skills to ace Senior Data Analyst in Liverpool
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 match 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.
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point.
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 see what you bring to the table!
How to prepare for a job interview at Profectus Recruitment
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific datasets you've worked with. Be prepared to explain how you assessed their structure, quality, and usability, as this will show your analytical prowess.
✨Master SQL and Python
Brush up on your SQL skills, especially writing and optimising complex queries. Also, make sure you're comfortable discussing your experience with Python libraries like Pandas and NumPy, as these are crucial for the role.
✨Engage with Stakeholders
Think of examples where you've successfully collaborated with both technical and non-technical stakeholders. Be ready to share how you translated their needs into actionable data solutions, as this demonstrates your communication skills.
✨Showcase Your Visualisation Skills
Prepare to discuss how you've created impactful data visualisations and dashboards in the past. If you have experience with tools like Power BI or Alteryx, mention those too, as they could give you an edge in the interview.
