Data Analytics Apply now

Data Analytics

London Full-Time 43200 - 72000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Analyze business processes and identify automation opportunities while collaborating with teams.
  • 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 enhance data accessibility and drive business success.
  • Qualifications: 1-3 years in finance, strong SQL and Power BI skills, plus excellent communication.
  • Other info: Work closely with both internal teams and external vendors to deliver comprehensive solutions.

The predicted salary is between 43200 - 72000 £ per year.

Job Description 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 have 1-3 years of relevant experience in the financial 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…

Data Analytics employer: Attribution Search

Join a market-leading Credit Hedge Fund in London, where you will thrive in a dynamic work culture that values innovation and collaboration. With a strong focus on employee growth, we offer comprehensive training and development opportunities, ensuring you can advance your career while contributing to impactful projects. Enjoy the unique advantage of working in a vibrant city known for its financial prowess, all while being part of a team that prioritizes efficiency and excellence in data analytics.
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Contact Detail:

Attribution Search Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Analytics

✨Tip Number 1

Make sure to brush up on your SQL skills! Since proficiency in SQL is a must for this role, consider working on some real-world projects or online exercises that showcase your ability to manipulate and analyze data effectively.

✨Tip Number 2

Familiarize yourself with Power BI and its features. Create sample dashboards or reports that demonstrate your ability to visualize data and provide insights, as this will be crucial for the role.

✨Tip Number 3

Network with professionals in the financial industry, especially those who work in asset management. Attend industry events or join relevant online forums to gain insights and potentially get referrals.

✨Tip Number 4

Stay updated on the latest trends in data analytics and financial technology. Being knowledgeable about current tools and methodologies will not only help you in interviews but also show your passion for the field.

We think you need these skills to ace Data Analytics

SQL Proficiency
Power BI Expertise
Data Analysis
Process Improvement
Automation Skills
Project Management
Communication Skills
Collaboration with Development Teams
Reporting Solutions Development
Risk Analytics
Financial Industry Knowledge
Data Clean-Up Techniques
Dashboard Innovation
Stakeholder Engagement

Some tips for your application 🫡

Understand the Role: Make sure to thoroughly read the job description for the Data Analytics Analyst position. Understand the key responsibilities and required skills, especially focusing on SQL and Power BI proficiency.

Tailor Your CV: Customize your CV to highlight relevant experience in data analytics and the financial industry. Emphasize any projects or roles where you collaborated with business units or developed reporting solutions.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and your understanding of the financial sector. Mention specific examples of how you've identified inefficiencies or contributed to process improvements in previous roles.

Highlight Communication Skills: Since excellent communication skills are essential for this role, provide examples in your application that demonstrate your ability to collaborate with teams and present data insights effectively.

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. Be prepared to discuss specific projects where you utilized these tools to solve problems or improve processes.

✨Demonstrate Your Analytical Thinking

Prepare examples of how you've identified inefficiencies in workflows and proposed automation solutions. This will show your ability to think critically and contribute to the firm's growth.

✨Communicate Effectively

Since excellent communication skills are a must, practice explaining complex data concepts in simple terms. This will help you connect with interviewers who may not have a technical background.

✨Understand the Business Context

Research the credit hedge fund industry and be ready to discuss how data analytics can impact business development, investor relations, and risk management. Showing that you understand the broader context will set you apart.

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  • Data Analytics

    London
    Full-Time
    43200 - 72000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-09

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    Attribution Search

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