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For Companies At a Glance
- Tasks: Analyse complex datasets and create financial models to drive business insights.
- Company: Global client with a focus on innovation and data-driven decision making.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights for senior stakeholders.
- Qualifications: Strong analytical skills, experience in financial modelling, and proficiency in data visualisation tools.
- Other info: Dynamic role with opportunities for travel and collaboration across various locations.
The predicted salary is between 36000 - 60000 ÂŁ per year.
One of our global clients is looking for a Data Business Analyst based in London - 2 days to office. If you are available and interested in this opportunity, please reply with your latest CV and best available time to discuss this.
Below is the job specs for your reference:
- Title: Data Business Analyst
- Duration: 6 months
- Location: probably London but open to Cardiff, Salford, Glasgow etc.
- Hybrid: 1-2 days required in the office, along with occasional travel to other client sites as required
Essential:
- Strong analytical skills with the ability to manage and interpret complex datasets.
- Proven experience in financial modelling, including building models from scratch.
- Proficiency in data visualization tools (Power BI) and advanced Excel skills.
- Experience in scenario planning, financial forecasting, and sensitivity analysis.
- Ability to think creatively and “outside the box” to solve problems and optimize processes.
- Solid financial acumen and understanding of business drivers.
- Strong communication skills to present insights effectively to non-technical stakeholders.
- Experience working with poorly structured data and improving data quality.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Able to effectively delegate, manage your own time and prioritise accordingly.
- Able to simplify complex problems into component parts and deal with them systematically.
- Significant experience in one or more data scripting languages (such as Python, R or SQL) or tooling relevant to the specifics of the role.
- Proven experience developing relationships and managing needs of senior stakeholders at Director level.
Business Data Analyst in London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Business Data Analyst role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data analysis. We suggest using the STAR method (Situation, Task, Action, Result) to structure your answers. It’ll help you showcase your analytical skills and problem-solving abilities effectively!
✨Tip Number 3
Don’t forget to tailor your pitch! When you get the chance to speak with potential employers, highlight your experience with financial modelling and data visualisation tools like Power BI. We want to make sure they see how you can add value right from the start.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team, so don’t hesitate to put yourself out there!
We think you need these skills to ace Business Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Data Analyst role. Highlight your analytical skills, financial modelling experience, and proficiency in data visualisation tools like Power BI. We want to see how your unique skills match what we're looking for!
Showcase Your Experience: When writing your application, don’t just list your past jobs. Instead, showcase specific projects where you’ve managed complex datasets or improved data quality. We love seeing real examples of how you've made an impact!
Keep It Clear and Concise: Your written application should be clear and to the point. Avoid jargon and make sure your communication skills shine through. Remember, we need to understand your insights without getting lost in technical details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Harvey Nash
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ll be working with. Brush up on your analytical skills and be ready to discuss how you've managed and interpreted complex datasets in the past. Prepare examples that showcase your experience in financial modelling and data visualisation tools like Power BI.
✨Showcase Your Problem-Solving Skills
Be prepared to think creatively during the interview. Companies love candidates who can demonstrate their ability to solve problems and optimise processes. Think of specific scenarios where you’ve had to simplify complex issues and how you approached them systematically.
✨Communicate Effectively
Strong communication skills are key, especially when presenting insights to non-technical stakeholders. Practice explaining your past projects in a way that’s easy to understand. Use clear, concise language and avoid jargon unless necessary.
✨Demonstrate Stakeholder Management
Highlight your experience in developing relationships with senior stakeholders. Be ready to discuss how you’ve managed their needs and expectations in previous roles. This will show that you can navigate the complexities of working with directors and other high-level professionals.
