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- Tasks: Analyse data flows and maintain data assets to support decision-making.
- Company: Global financial services platform 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 an impact through data-driven insights.
- Qualifications: Experience in data roles, SQL knowledge, and strong communication skills.
- Other info: Collaborative environment with potential for career advancement.
The predicted salary is between 30000 - 42000 £ per year.
A global financial services platform is seeking a Data Analyst to work closely with the Operations business stream. The role involves identifying and analyzing data flows, cultivating relationships with data stakeholders, and ensuring data assets are properly maintained.
Candidates should have experience in data roles, familiarity with SQL and data modeling, and strong communication skills. This position is critical in supporting data-driven decision-making across the organization.
Data Analyst: Power BI, Data Platform & Insights employer: Marex
Contact Detail:
Marex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst: Power BI, Data Platform & Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data roles. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Power BI and SQL. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data-related questions. Be ready to discuss your experience with data flows and stakeholder relationships, as these are key in the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Data Analyst: Power BI, Data Platform & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data roles, especially with SQL and data modelling. We want to see how your skills align with the job description, so don’t be shy about showcasing 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 analysis and how you can contribute to our Operations business stream. Keep it engaging and personal – we love to see your personality!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate your ability to convey complex data insights clearly. Whether it’s in your CV or cover letter, let us know how you’ve successfully collaborated with stakeholders in the past.
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 – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Marex
✨Know Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss how you've used these tools in past roles, as well as any specific projects where you’ve analysed data flows or created insightful reports.
✨Understand the Business Stream
Research the Operations business stream of the company. Familiarise yourself with their data needs and challenges. This will help you demonstrate how your skills can directly support their data-driven decision-making.
✨Build Relationships
Since the role involves cultivating relationships with data stakeholders, think about how you can showcase your communication skills. Prepare examples of how you've successfully collaborated with others in previous positions to achieve common goals.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of situations where you identified data issues or improved data processes, and be ready to explain your thought process and the outcomes.