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- Tasks: Join a dynamic team to develop and deliver a cutting-edge Business Intelligence Platform.
- Company: Be part of a leading cross asset trading house with diverse business lines and exceptional growth.
- Benefits: Enjoy a competitive salary of £80,000 plus bonuses and hybrid working options.
- Why this job: Gain exposure to various asset classes while enhancing your technical and stakeholder communication skills.
- Qualifications: Advanced skills in Power BI, DAX, SQL, and knowledge of Kimball data modelling required.
- Other info: Work in a vibrant London office, just two days a week!
The predicted salary is between 48000 - 64000 £ per year.
A Business Intelligence Analyst is needed for a cross asset trading house who, through mergers and acquisitions, as well as exceptional performance, have added extra business lines, profit centres and multiple asset classes onto their trading offering.
The Business Intelligence Analyst will contribute to the development and delivery of the Business Intelligence Platform. This will involve acting as part of a centre of excellence, liaising with Data Analysts, Engineers, and Business stakeholders to deliver a self-service solution utilising our modern data platform.
As a Business Intelligence Analyst, you will get exposure across the business and data from different asset classes: Energy, FX, Equities, Commodities, Risk, Finance etc., upskilling the stakeholders in each department to promote a self-service adoption. Therefore, stakeholder communication is key, along with the technical skills.
This role is paying up to £80,000 + Bonus + benefits. The role is hybrid, 2 days per week in the office. Closest stations are Liverpool Street.
Responsibilities of the Business Intelligence Analyst include:
- Performing a prominent role in the Data/BI centre of excellence
- BI platform architecture
- Liaising with data analysts to capture requirements
- Working closely with business stakeholders across the various different business lines
- Advanced data modelling
Key Skills for the Business Intelligence Analyst:
- Advanced Power BI (Modelling, Visualisation, Security, Platform Architecture and Administration)
- DAX expressions
- Advanced SQL skills (SQL, T-SQL, PL/SQL)
- Knowledge of Kimball data modelling methodology
If you are interested in this Business Intelligence Analyst role, please reply to this advert or send your CV.
Business Intelligence Analyst | Cross Asset Trading House | £80,000 + Bonus + Benefits | Hybrid LDN employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Intelligence Analyst | Cross Asset Trading House | £80,000 + Bonus + Benefits | Hybrid LDN
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Power BI and SQL. Consider creating a portfolio of projects that showcase your skills in these areas, as practical examples can really impress during discussions.
✨Tip Number 2
Network with professionals in the finance and trading sectors, especially those who work with business intelligence. Attend industry events or webinars to connect with potential colleagues and learn more about the latest trends and challenges in the field.
✨Tip Number 3
Prepare to discuss your experience with stakeholder communication. Think of specific examples where you successfully collaborated with different teams or departments, as this role requires strong interpersonal skills to promote self-service adoption.
✨Tip Number 4
Research the company’s recent mergers and acquisitions, as well as their various asset classes. Being knowledgeable about their business model will help you demonstrate your interest and understanding of how you can contribute to their success.
We think you need these skills to ace Business Intelligence Analyst | Cross Asset Trading House | £80,000 + Bonus + Benefits | Hybrid LDN
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI, DAX, and SQL. Include specific examples of how you've used these skills in previous roles, especially in a business intelligence context.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to communicate effectively with stakeholders and your experience in data modelling. Mention your understanding of the cross-asset trading environment and how you can contribute to their Business Intelligence Platform.
Showcase Relevant Projects: If you've worked on projects involving advanced data modelling or BI platform architecture, be sure to include these in your application. Describe your role and the impact of your work on the overall project outcomes.
Highlight Soft Skills: Since stakeholder communication is key for this role, make sure to mention any relevant soft skills in your application. Discuss your experience in upskilling teams or promoting self-service solutions within an organisation.
How to prepare for a job interview at VirtueTech Recruitment Group
✨Showcase Your Technical Skills
Make sure to highlight your advanced skills in Power BI, DAX, and SQL during the interview. Prepare examples of how you've used these tools in past projects, especially in data modelling and visualisation.
✨Understand the Business Context
Familiarise yourself with the different asset classes mentioned in the job description, such as Energy, FX, and Commodities. Being able to discuss how business intelligence can impact these areas will demonstrate your understanding of the role.
✨Emphasise Stakeholder Communication
Since stakeholder communication is key, prepare to discuss how you've successfully liaised with various departments in previous roles. Share specific examples where you helped promote self-service solutions or upskilled stakeholders.
✨Prepare Questions for the Interviewers
Have a list of insightful questions ready to ask your interviewers. This could include inquiries about the company's data strategy, the BI platform architecture, or how they measure success in the role. It shows your genuine interest in the position.
