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For Companies At a Glance
- Tasks: Visualise complex risk data using Power BI and automate processes with scripting languages.
- Company: Join a top-rated financial markets business in London known for integrity and client value.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be part of a winning team that values hard work and offers exciting challenges.
- Qualifications: Experience in data analysis, Power BI, and automation scripting (Bash, Batch, Python) required.
- Other info: Work with senior members and make a real impact in the financial sector.
The predicted salary is between 36000 - 60000 £ per year.
MI/Data Analyst required to join a financial markets business in London, to focus on visualising complex risk data for the business in Power BI and associated tools.
The role also requires experience in automation scripting languages such as Bash, Batch or Python; as some of the data sets are quite complex. You will be responsible for collating, analysing and presenting financial and risk data for senior members of the business to receive and digest.
MI/Data Analyst employer: Kite Consulting Group
Contact Detail:
Kite Consulting Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MI/Data Analyst
✨Tip Number 1
Familiarise yourself with Power BI and other visualisation tools. Consider creating a portfolio of your work that showcases your ability to present complex data in an easily digestible format, as this will demonstrate your skills directly relevant to the role.
✨Tip Number 2
Brush up on your automation scripting skills, particularly in Python, Bash, or Batch. You might want to work on small projects or contribute to open-source initiatives to gain practical experience that you can discuss during interviews.
✨Tip Number 3
Network with professionals in the financial markets sector. Attend industry meetups or webinars where you can connect with potential colleagues or mentors who can provide insights into the role and possibly refer you to opportunities.
✨Tip Number 4
Prepare for interviews by practising how to explain complex data analysis processes clearly and concisely. Being able to communicate your findings effectively to senior members is crucial, so consider mock interviews to refine your delivery.
We think you need these skills to ace MI/Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a MI/Data Analyst in financial markets. Familiarise yourself with key terms like risk data, Power BI, and automation scripting languages such as Bash, Batch, or Python.
Tailor Your CV: Highlight your relevant experience in data analysis, visualisation, and any specific tools you've used, especially Power BI. Make sure to include any projects where you've automated processes using scripting languages.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how your skills align with the company's focus on customer value and integrity. Mention specific examples of how you've tackled challenges in previous roles.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. A polished application reflects your attention to detail, which is crucial for a role that involves complex data.
How to prepare for a job interview at Kite Consulting Group
✨Showcase Your Power BI Skills
Make sure to prepare examples of your previous work with Power BI. Be ready to discuss how you've visualised complex data sets and the impact it had on decision-making in your past roles.
✨Demonstrate Your Scripting Knowledge
Brush up on your automation scripting skills, particularly in Bash, Batch, or Python. Be prepared to explain how you've used these languages to automate data processes and improve efficiency.
✨Prepare for Technical Questions
Expect technical questions related to data analysis and financial markets. Review key concepts and be ready to solve problems on the spot, showcasing your analytical thinking and problem-solving abilities.
✨Communicate Clearly and Confidently
Since you'll be presenting data to senior members, practice explaining complex information in a clear and concise manner. Use examples to illustrate your points and ensure you can engage your audience effectively.
