At a Glance
- Tasks: Shape and deliver a modern data strategy, improving reporting processes and analytics.
- Company: Established Ipswich-based business investing in data capabilities.
- Benefits: Competitive salary, opportunities for professional growth, and a dynamic work environment.
- Other info: Join a forward-thinking team focused on automation and self-service analytics.
- Why this job: Make a real impact by transforming data usage and driving innovation.
- Qualifications: Strong SQL, Python skills, and experience with BI tools and data modelling.
The predicted salary is between 45000 - 55000 £ per year.
A successful and established Ipswich based business is looking to appoint a Senior BI / Data Analyst as part of a wider modernisation of its data and reporting capability. An excellent opportunity to work in an organisation investing heavily in how it uses data across the business. The role will play a key part in shaping and delivering a modern data strategy, bringing together on-premise and cloud-based data sources into a more unified, reliable and scalable environment. This is not just a reporting role. The business is looking for someone curious, analytical and commercially aware, who can challenge existing approaches, reduce manual effort, improve scalability and help shape how data is used across the organisation.
A big focus will be to help the business move away from manual and legacy reporting towards more automated, self-service analytics and reusable datasets. The position will suit you if you enjoy working with complex datasets, improving reporting processes, building robust data models and helping stakeholders make better decisions through clear, meaningful insight.
To be successful it is likely that you will have:
- Strong SQL skills
- Python experience
- Power BI or similar BI / visualisation tools
- Data modelling experience
- Strong understanding of metrics, reporting accuracy and data quality
- Confident stakeholder engagement skills
- Exposure to Databricks
Senior Data / BI Analyst in Suffolk employer: RaptorTech Recruitment Ltd
Join a forward-thinking Ipswich-based company that prioritises innovation and employee development. As a Senior Data / BI Analyst, you will be part of a dynamic team dedicated to modernising data strategies, with ample opportunities for professional growth in a supportive work culture that values curiosity and analytical thinking. Enjoy the benefits of working in an organisation that is committed to investing in its people and technology, fostering a collaborative environment where your insights can drive meaningful change.
Contact Details:
RaptorTech Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data / BI Analyst in Suffolk
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data/BI Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving SQL, Python, and Power BI. We want to see how you’ve tackled complex datasets and improved reporting processes – this is your chance to shine!
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder engagement skills. We recommend practising how you’d explain complex data insights to non-technical folks. Being able to communicate clearly can set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for curious and analytical minds to join us. Make sure your application reflects your passion for modernising data strategies and improving scalability – we want to hear your ideas!
We think you need these skills to ace Senior Data / BI Analyst in Suffolk
Some tips for your application 🫡
Show Your Curiosity:When writing your application, let us see your curiosity shine through! Share examples of how you've challenged existing data approaches in the past and what innovative solutions you've implemented. We love candidates who think outside the box!
Highlight Your Technical Skills:Make sure to showcase your strong SQL skills and any experience with Python or BI tools like Power BI. We want to know how you've used these skills to improve reporting processes or build robust data models. Be specific about your achievements!
Engage with Stakeholders:Since this role involves stakeholder engagement, include examples of how you've effectively communicated insights to non-technical audiences. We appreciate candidates who can bridge the gap between data and decision-making, so share your experiences!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at RaptorTech Recruitment Ltd
✨Know Your Data Tools Inside Out
Make sure you brush up on your SQL, Python, and Power BI skills before the interview. Be ready to discuss specific projects where you've used these tools to solve problems or improve processes. This will show that you're not just familiar with them, but that you can apply them effectively in a real-world context.
✨Showcase Your Analytical Mindset
Prepare examples of how you've challenged existing data approaches in previous roles. Think about times when you identified inefficiencies or proposed new methods for data analysis. This will demonstrate your curiosity and analytical skills, which are crucial for this role.
✨Engage Stakeholders Like a Pro
Since stakeholder engagement is key, think of instances where you've successfully communicated complex data insights to non-technical audiences. Practice explaining your thought process clearly and concisely, as this will highlight your ability to make data accessible and actionable for others.
✨Emphasise Your Vision for Modern Data Strategies
Be prepared to discuss your thoughts on modernising data strategies, especially around automation and self-service analytics. Share ideas on how you would approach integrating on-premise and cloud-based data sources, as this aligns perfectly with what the business is looking for.
