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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 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 in London and contribute to award-winning projects 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.
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 be crucial for impressing the hiring team.
✨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 demonstrate your proficiency in handling complex data sets.
✨Tip Number 3
Network with professionals in the financial markets sector. Attend industry events or join relevant online forums to connect with people who can provide insights into the role and potentially refer you to opportunities at StudySmarter.
✨Tip Number 4
Prepare to discuss how you approach data analysis and visualisation during interviews. Be ready to share specific examples of past projects where you successfully collated and presented data to senior stakeholders, highlighting your impact on decision-making.
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 the 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, as this is crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how your skills align with the company's values. Mention your commitment to integrity and customer value, as these are important to the hiring company.
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 essential for a role that involves complex data analysis.
How to prepare for a job interview at Kite Consulting Group
✨Showcase Your Technical Skills
Make sure to highlight your experience with Power BI and any automation scripting languages like Python, Bash, or Batch. Be prepared to discuss specific projects where you've used these tools to visualise complex data.
✨Prepare for Data Analysis Questions
Expect questions that assess your analytical thinking and problem-solving skills. Brush up on how you would approach collating and analysing financial and risk data, and be ready to explain your thought process clearly.
✨Communicate Effectively
Since you'll be presenting data to senior members, practice explaining complex concepts in a simple and concise manner. Use examples from your past experiences to demonstrate your ability to communicate effectively.
✨Demonstrate Your Passion for the Industry
Show enthusiasm for the financial markets and the role of data analysis within it. Research current trends and challenges in the industry, and be ready to discuss how you can contribute to overcoming them.
