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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 collaboration and innovation.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for growth.
- Why this job: Make an impact by turning data into actionable business strategies.
- Qualifications: Strong analytical skills and experience with data visualisation tools.
- Other info: Dynamic team environment with plenty of learning opportunities.
The predicted salary is between 30000 - 50000 £ 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 employer: E-Solutions
Contact Detail:
E-Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Business Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend industry events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and visualisations. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analytics and business strategy. Be ready to discuss how you've used data to drive decisions and improve processes in past roles.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive job listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Data-Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and business strategy. We want to see how you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
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.
Showcase Your Technical Skills: Mention any tools you’ve used like Power BI, Tableau, or Excel. We’re keen to know how you’ve applied these in real-world scenarios, so give us some examples that demonstrate your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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 that led to actionable insights.
✨Showcase Your Analytical Skills
Be ready to discuss specific datasets you've worked with. Highlight how you collected, cleaned, and analysed data to identify trends. If possible, bring a portfolio of your work to demonstrate your analytical capabilities.
✨Communicate Clearly
Since this role involves collaboration with cross-functional teams, practice explaining complex data concepts in simple terms. Be prepared to discuss how you’ve communicated findings to non-technical stakeholders in the past.
