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For Companies At a Glance
- Tasks: Analyze business workflows and identify automation opportunities to enhance efficiency.
- Company: Join a market-leading Credit Hedge Fund known for its rapid growth and innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for professional development and collaboration.
- Why this job: Be part of impactful projects that drive data analytics and reporting solutions in finance.
- Qualifications: 1-3 years in financial services, SQL proficiency, Power BI skills, and strong communication required.
- Other info: Familiarity with asset classes like bank loans or bonds is a plus.
The predicted salary is between 36000 - 60000 £ per year.
Market leading Credit Hedge Fund are actively seeking to add a Data Analytics Analyst to their London office. The firm have seen unrivalled growth
Responsibilities
- Collaborating with designated business units to identify inefficiencies in processes and potential automation opportunities.
- Conducting in-depth analysis of business workflows, assisting with data clean-up, and preparing data for ad-hoc requests.
- Working closely with internal software development teams and third-party vendors to develop and integrate solutions that deliver comprehensive, enterprise-wide software capabilities.
- Leading projects that focus on coordinating and developing data analytics and reporting solutions, including:
- Senior Management Reporting, Investor and Regulatory Reporting.
- Business Development and Investor Relations.
- Support for Front Office PMs, Traders, and Analysts.
- Risk Analytics.
- Middle Office operations.
- Collaborating with offsite and offshore development teams.
- Continuously contributing to enhancing data accessibility and innovating dashboard features.
Candidates must have1-3 years of relevant experience in the financial services industry, preferably in asset management. Proficiency in SQL and strong Power BI skills are a must as well as excellent communication skills. Familiarity with one or more asset classes, such as bank loans, bonds, credit derivatives, or FX forwards is highly desired.
Data Analytics Analyst employer: Attribution Search
Contact Detail:
Attribution Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Analyst
✨Tip Number 1
Make sure to familiarize yourself with the specific asset classes mentioned in the job description, such as bank loans and credit derivatives. This knowledge will not only help you stand out during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Since proficiency in SQL and Power BI is crucial for this position, consider working on personal projects or online courses that enhance your skills in these areas. Being able to showcase your practical experience with these tools can give you a significant edge.
✨Tip Number 3
Networking is key! Reach out to professionals in the financial services industry, especially those who work in data analytics roles. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your application process.
✨Tip Number 4
Prepare to discuss your previous experiences in identifying inefficiencies and implementing automation solutions. Having concrete examples ready will show your potential employer that you have the hands-on experience they are looking for.
We think you need these skills to ace Data Analytics Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in the financial services industry, especially in asset management. Emphasize your proficiency in SQL and Power BI, as well as any familiarity with asset classes like bank loans or credit derivatives.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the Data Analytics Analyst position. Discuss how your skills and experiences align with the responsibilities outlined in the job description, particularly your ability to identify process inefficiencies and collaborate with teams.
Showcase Communication Skills: Since excellent communication skills are a must, provide examples in your application that demonstrate your ability to effectively communicate complex data insights to various stakeholders, including senior management and development teams.
Highlight Project Experience: If you have led projects related to data analytics or reporting solutions, be sure to include these in your application. Detail your role, the challenges faced, and the outcomes achieved to showcase your leadership and analytical capabilities.
How to prepare for a job interview at Attribution Search
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Power BI during the interview. Prepare examples of how you've used these tools in previous roles, especially in the context of data analysis and reporting.
✨Understand the Financial Services Landscape
Familiarize yourself with the asset classes mentioned in the job description, such as bank loans and credit derivatives. Being able to discuss these topics will demonstrate your industry knowledge and relevance to the role.
✨Prepare for Behavioral Questions
Expect questions about your experience collaborating with teams and leading projects. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear examples of your past achievements.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data analytics processes and how they integrate with other business units. This shows your genuine interest in the role and helps you understand how you can contribute effectively.
