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For Companies At a Glance
- Tasks: Analyse data and deliver insights to drive business strategy.
- Company: Join a forward-thinking company that values data-driven decisions.
- Benefits: Flexible hours, competitive pay, and opportunities for growth.
- Why this job: Be at the forefront of business strategy and data analytics.
- Qualifications: Strong analytical skills and experience with data visualisation tools.
- Other info: Collaborative environment with a focus on innovation and improvement.
The predicted salary is between 28800 - 48000 £ per year.
The Data Business Analyst will collaborate with cross-functional teams to gather business requirements, analyze data, and deliver actionable insights. This role is ideal for someone who thrives at the intersection of business strategy and data analytics.
Key Responsibilities
- Collect, clean, and analyze large datasets to identify trends and patterns
- Translate business needs into data requirements and analytical solutions
- Develop dashboards, reports, and visualizations using tools like Power BI, Tableau, or Excel
- Collaborate with stakeholders to define KPIs and success metrics
- Conduct gap analysis and recommend process improvements
- Support data governance and ensure data quality and integrity
- Document business processes and data flows
Data-Business Analyst in London employer: E-Solutions
Contact Detail:
E-Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Business Analyst in London
✨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 Data-Business Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and visualisations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Data-Business Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the Data Business Analyst role. We want to see how your background aligns with our needs, so don’t be shy about showcasing your data analysis and business strategy expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analytics and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role, so let your personality come through.
Showcase Your Analytical Skills: In your application, include examples of how you've collected, cleaned, and analysed data in the past. We’re keen to see your problem-solving skills in action, so share any dashboards or reports you’ve created that demonstrate your ability to deliver actionable insights.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at E-Solutions
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like Power BI, Tableau, and Excel. Brush up on your skills and be ready to discuss how you've used these tools in past projects to create dashboards or reports.
✨Understand Business Needs
Prepare to talk about how you translate business requirements into data solutions. Think of examples where you’ve successfully gathered requirements from stakeholders and how you turned those into actionable insights.
✨Showcase Your Analytical Skills
Be ready to discuss specific datasets you’ve worked with. Highlight your experience in cleaning and analysing data, and be prepared to explain how you identified trends and patterns that led to business improvements.
✨Communicate Clearly
Since collaboration is key in this role, practice explaining complex data concepts in simple terms. You might be asked to present a past project, so think about how you can convey your findings effectively to non-technical stakeholders.
