At a Glance
- Tasks: Analyse data to drive business decisions and create impactful reports.
- Company: Dynamic enterprise in Nottingham with a hybrid work model.
- Benefits: Permanent role with competitive salary and opportunities for growth.
- Other info: Join a collaborative team focused on innovation and data-driven success.
- Why this job: Be the bridge between business and tech, making a real difference.
- Qualifications: Experience in data analysis and strong communication skills required.
The predicted salary is between 40000 - 50000 £ per year.
We are looking for a highly analytical and business-focused Business Data Analyst to support data-driven transformation initiatives within a complex enterprise environment. In this role, you will bridge the gap between business and technology, working closely with stakeholders to translate requirements into actionable insights, scalable solutions, and high-quality data-driven outcomes. You will play a key role in enabling better decision-making through robust analysis, reporting, and collaboration across cross-functional teams.
Key Responsibilities:
- Collaborate with business stakeholders, product owners, and technical teams to gather, analyse, and document business and data requirements.
- Translate complex requirements into functional specifications, user stories, data mappings, and reporting definitions.
- Perform data analysis, profiling, validation, and reconciliation to ensure data accuracy and integrity.
- Support the design and delivery of analytics solutions and enterprise data platforms.
- Work closely with data engineers, architects, and QA teams to support data integration, testing, and UAT activities.
- Develop and maintain dashboards and reports using tools such as Power BI, Tableau, or similar platforms.
- Conduct gap analysis, root cause analysis, and trend analysis to provide actionable business insights.
- Contribute to data governance, data quality, and data lineage initiatives.
- Ensure alignment with enterprise data architecture, standards, and best practices.
What We’re Looking For:
- Extensive experience working as a Business Data Analyst in enterprise environments.
- Strong expertise in data analytics, business intelligence, and data-driven transformation programmes.
- Proven ability to translate business needs into technical and analytical solutions.
- Hands-on experience with SQL, Excel, and data analysis techniques.
- Experience working with cloud-based data platforms such as Microsoft Azure, Databricks, and modern data warehouses.
- Strong understanding of data warehousing, ETL/ELT processes, and data governance frameworks.
- Experience building insightful dashboards and reports to support decision-making.
- Excellent communication, stakeholder management, and documentation skills.
- Ability to operate effectively in cross-functional, Agile delivery environments.
Key Skills:
- Business Analysis & Data Analysis
- Business Case Development
- Business Process Modelling & Reengineering
- SQL & Data Profiling
- Power BI / Tableau / Reporting Tools
- Data Warehousing & ETL/ELT
- Data Governance & Data Quality
Business Data Analyst in Derby employer: UST
Join a forward-thinking organisation in Nottingham that champions data-driven transformation and fosters a collaborative work culture. As a Business Data Analyst, you will benefit from a hybrid working model, allowing for flexibility while engaging with cross-functional teams to drive impactful insights. With a strong emphasis on employee growth and development, this company offers numerous opportunities for professional advancement in a supportive environment that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in Derby
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like UST!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Data Analyst in Derby
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at UST, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at UST
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with UST’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
