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- Tasks: Analyse financial data and create insightful Power BI dashboards.
- Company: Global financial services provider with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the finance sector.
- Qualifications: Experience in data roles and strong skills in data modelling and communication.
- Other info: Exciting opportunity to bridge Operations and Technology in a fast-paced environment.
The predicted salary is between 28800 - 48000 £ per year.
A global financial services provider is seeking a Data Analyst to bridge Operations and Technology. In this role, you will identify and analyse data, assist with data ingestion into the Data Platform, and support with Power BI dashboard creation.
The ideal candidate will have experience in data roles within financial services and possess strong skills in data modelling, cleansing, and communication, ensuring the organization effectively leverages its data assets.
Data Analyst: Finance Data & BI Insights employer: Marex Group
Contact Detail:
Marex Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Finance Data & BI Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data sectors on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your data modelling and cleansing techniques. Be ready to discuss how you've used these skills in past roles, particularly in financial services, to demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Data Analyst: Finance Data & BI Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data roles, especially within financial services. We want to see how your skills in data modelling and cleansing can shine through!
Showcase Your Skills: When writing your cover letter, emphasise your communication skills and how you can bridge the gap between Operations and Technology. We love seeing candidates who can articulate their value clearly!
Be Specific About Your Experience: Don’t just list your previous jobs; give us examples of how you've used Power BI or similar tools to create dashboards. We’re looking for concrete evidence of your analytical prowess!
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 from us!
How to prepare for a job interview at Marex Group
✨Know Your Data Inside Out
Make sure you brush up on your data modelling and cleansing skills. Be prepared to discuss specific examples from your past experience in financial services where you've successfully managed data. This will show that you can hit the ground running.
✨Show Off Your Power BI Skills
Since the role involves creating dashboards, it’s crucial to demonstrate your proficiency in Power BI. Bring along a portfolio of your previous work or be ready to talk through a project where you created impactful visualisations. This will highlight your technical abilities.
✨Communicate Clearly and Confidently
Strong communication is key in this role. Practice explaining complex data concepts in simple terms, as you may need to bridge the gap between Operations and Technology. Think about how you can convey your insights effectively during the interview.
✨Research the Company and Its Data Needs
Before the interview, take some time to understand the company’s data landscape and challenges. This will allow you to tailor your responses and show that you’re genuinely interested in how you can contribute to their success.