At a Glance
- Tasks: Analyse data and collaborate with teams to drive business insights and solutions.
- Company: Dynamic enterprise focused on data-driven transformation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Join a forward-thinking team with excellent career advancement opportunities.
- Why this job: Make a real impact by bridging business and technology in a collaborative environment.
- 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
Analityk Analityk Business Data Analyst (Remote) in Nottingham employer: UST
Join a forward-thinking company that values analytical expertise and fosters a collaborative work culture in Nottingham. As a Business Data Analyst, you will benefit from a hybrid working model that promotes work-life balance, alongside opportunities for professional growth through continuous learning and development initiatives. With a focus on data-driven transformation, you'll be part of a dynamic team that empowers you to make impactful contributions while enjoying the unique advantages of working in a vibrant city.
StudySmarter Expert Advice🤫
We think this is how you could land Analityk Analityk Business Data Analyst (Remote) in Nottingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UST!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analityk Analityk Business Data Analyst (Remote) at UST.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UST.
✨Apply Directly through Our Website
When you find a suitable opening like Analityk Analityk Business Data Analyst (Remote) at UST, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analityk Analityk Business Data Analyst (Remote) in Nottingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UST, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UST
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UST!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
