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- Tasks: Analyse financial data and provide insights to support business decisions.
- Company: Join a dynamic Business Intelligence team in Canary Wharf, London.
- Benefits: Enjoy a collaborative office environment with opportunities for professional growth.
- Why this job: Make an impact by driving informed decisions and developing new BI tools.
- Qualifications: Degree in a numerate field and 12 months of relevant experience required.
- Other info: Proficiency in Power BI and advanced Excel skills are essential.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Financial Data Analyst with Power BI experience. A Degree in a numerate or analytical discipline with at least 12 months of post-graduate work experience is required. This role is part of a team of four in our client's Business Intelligence team located in Canary Wharf, London. This is an office-based position.
Responsibilities:
- The role will involve working within the Strategy & Business Intelligence Department to provide analytical support and liaise with other departments internally to successfully distribute/extract pertinent information.
- The successful candidate will work closely with back office functions in order to fulfil this role.
- A high level of interpersonal skills combined with a sound analytical approach to decision making will be advantageous.
Key Responsibilities:
- Develop and deliver BI-driven reporting that accommodates different levels within the organization at a reporting frequency that supports timely decision making.
- Provide thoughtful analytical insights to help the Europe Commercial team arrive at more informed business decisions.
- Utilize available data warehouses and data mining tools to spot trends and highlight potential opportunities.
- Support the development and implementation of new BI tools as we build capability to understand our data.
- Assist in the delivery of the annual budget, including preparation of budget templates, coordinating across functions for on-time delivery, and provision of reports.
- Deliver tailored data analysis to key individuals and teams within the organization and develop reports summarizing performance measurement versus key metrics.
- Act as a resource to provide analytical capability cross-functionally.
- Conduct financial modeling and review of business opportunities.
Core / Skill Requirements:
- Developed and proven analytical skills.
- Understanding of economics supporting UK business.
- Financially numerate with advanced Excel skills.
- Proficient in Power BI.
- Knowledge of SAP/BW for data extraction and analysis.
- Good interpersonal skills.
- Flexible, as brief may evolve/change.
- Budget aware.
- Ability to work efficiently and collaboratively with others.
Financial Data Analyst employer: Taylor James Resourcing
Contact Detail:
Taylor James Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Data Analyst
✨Tip Number 1
Familiarise yourself with Power BI and its advanced features. Since this role specifically requires Power BI experience, showcasing your proficiency through practical examples or projects can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the Business Intelligence field, especially those who work in financial data analysis. Engaging with current employees at StudySmarter or similar companies can provide insights into the company culture and expectations.
✨Tip Number 3
Brush up on your Excel skills, particularly in financial modelling and data analysis. Being able to demonstrate your ability to manipulate and analyse data effectively will be crucial in this role.
✨Tip Number 4
Prepare to discuss your analytical approach during interviews. Be ready to share specific examples of how you've used data to drive business decisions, as this will highlight your problem-solving skills and suitability for the role.
We think you need these skills to ace Financial Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Power BI and any relevant analytical skills. Emphasise your degree in a numerate discipline and your post-graduate work experience, as these are key requirements for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Financial Data Analyst position and how your skills align with the responsibilities outlined in the job description. Mention specific examples of how you've used data analysis to support decision-making in previous roles.
Showcase Relevant Skills: Highlight your advanced Excel skills and any experience with SAP/BW for data extraction. Discuss your ability to provide analytical insights and how you've contributed to budget preparation or reporting in past positions.
Proofread Your Application: Before submitting your application, 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 financial modelling and data analysis.
How to prepare for a job interview at Taylor James Resourcing
✨Showcase Your Power BI Skills
Make sure to highlight your experience with Power BI during the interview. Prepare examples of reports or dashboards you've created, and be ready to discuss how they contributed to decision-making processes.
✨Demonstrate Analytical Thinking
Be prepared to discuss specific instances where your analytical skills made a difference. Use the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your problem-solving abilities.
✨Understand the Business Context
Familiarise yourself with the company's business model and the role of the Strategy & Business Intelligence Department. This will help you tailor your answers to show how your skills can directly benefit their operations.
✨Prepare for Interpersonal Questions
Since good interpersonal skills are crucial for this role, think of examples where you've successfully collaborated with others. Be ready to discuss how you handle feedback and work within a team environment.
