At a Glance
- Tasks: Enhance finance reporting through automation and create robust reporting models.
- Company: AerFin, a forward-thinking company focused on finance innovation.
- Benefits: Competitive salary, hybrid work model, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact on decision-making processes using Power BI and Excel.
- Qualifications: Experience in finance data analysis and proficiency in Power BI.
The predicted salary is between 35000 - 45000 £ per year.
AerFin is seeking a Finance Data Analyst to enhance their finance reporting through automation and standardization. This role focuses on creating robust reporting models and improving decision-making processes across the business using tools like Power BI and Excel.
The candidate will work collaboratively with finance and IT teams, aiming for self-service insight while ensuring accuracy in financial performance reporting.
The position is hybrid, located in Crawley or Newport, with a competitive benefits package.
Finance Data Analyst - Power BI & Automation (Hybrid) employer: AerFin
Contact Detail:
AerFin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Analyst - Power BI & Automation (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at AerFin on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project using Power BI or Excel that showcases your ability to create robust reporting models. Bring it up in interviews to demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for finance data analysts. We can even do mock interviews together to help you nail your responses.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make an impact in finance reporting.
We think you need these skills to ace Finance Data Analyst - Power BI & Automation (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and automation. We want to see how you've used these tools to enhance reporting and decision-making in previous roles.
Showcase Your Skills: In your cover letter, emphasise your analytical skills and any collaborative projects you've worked on with finance or IT teams. We love seeing how you can work well with others to achieve common goals.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to the team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at AerFin
✨Know Your Tools
Make sure you’re well-versed in Power BI and Excel. Brush up on your skills and be ready to discuss how you've used these tools in past projects. Being able to demonstrate your proficiency will show that you're the right fit for enhancing their finance reporting.
✨Understand the Business
Research AerFin and understand their business model, especially how they use data in finance. Familiarise yourself with their reporting processes and think about how you can contribute to improving them. This knowledge will help you answer questions more effectively and show your genuine interest in the role.
✨Collaboration is Key
Since this role involves working with finance and IT teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and your ability to work in a team setting, as this will be crucial for achieving self-service insights.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in previous roles related to data analysis and automation, and be ready to explain how you approached them. This will showcase your analytical thinking and decision-making abilities.