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For Companies At a Glance
- Tasks: Manage data systems and analyse complex data sets to deliver insights using Power BI.
- Company: Leading company in the lift industry with a focus on innovation.
- Benefits: Ongoing training, comprehensive insurance coverage, and commitment to employee well-being.
- Why this job: Make a real impact by transforming data into actionable insights for finance.
- Qualifications: Bachelor’s degree and 5-7 years of experience in data analysis or business intelligence.
- Other info: Join a dynamic team dedicated to professional growth and development.
The predicted salary is between 36000 - 60000 £ per year.
A leading company in the lift industry is seeking a Data Analyst to support its Finance Division located in Ashford. This role involves managing data systems, analysing complex data sets, and delivering actionable insights via Power BI dashboards.
The ideal candidate will have:
- A Bachelor’s degree
- 5-7 years of experience in data analysis or business intelligence
This position offers ongoing training and comprehensive insurance coverage as part of a commitment to employee well-being.
Data Analyst - Power BI for Finance Insights in Ashford employer: KLEEMANN UK
Contact Detail:
KLEEMANN UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Power BI for Finance Insights in Ashford
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the finance sector, especially those who work with data analysis. They can provide insider info and might even refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any relevant projects. This visual evidence of your capabilities can really set you apart during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios. Be ready to discuss how you've tackled complex data sets in the past and how you can bring actionable insights to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Analyst - Power BI for Finance Insights in Ashford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our Finance Division. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role involves managing data systems and analysing complex data sets, make sure to mention any specific tools or technologies you’ve worked with. We’re particularly interested in your experience with Power BI, so highlight that!
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 don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at KLEEMANN UK
✨Know Your Power BI Inside Out
Make sure you’re well-versed in Power BI, as it’s a key part of the role. Brush up on your skills by creating sample dashboards and be ready to discuss your previous projects where you used Power BI to deliver insights.
✨Understand the Finance Sector
Since this position is within the Finance Division, take some time to familiarise yourself with financial data analysis. Be prepared to talk about how data can drive financial decisions and improve business outcomes.
✨Prepare for Technical Questions
Expect technical questions related to data management and analysis. Review common data analysis techniques and be ready to explain your thought process when tackling complex data sets.
✨Showcase Your Problem-Solving Skills
During the interview, highlight specific examples where you’ve turned data into actionable insights. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your analytical thinking.
