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- Tasks: Support financial analysis and build models to drive insights for small businesses.
- Company: Teya Services Ltd., a forward-thinking company in London.
- Benefits: Enhanced leave, health benefits, and a commitment to inclusivity.
- Other info: Join a dynamic team with a focus on professional growth.
- Why this job: Make a real impact on small businesses through data-driven insights.
- Qualifications: 1-3 years in finance or analytics with strong analytical skills.
The predicted salary is between 35000 - 45000 £ per year.
Teya Services Ltd. in London is hiring a Finance Associate to support financial analysis and decision-making for small businesses. This role focuses on building financial models, analyzing data, and driving insights to support performance.
Candidates should have 1-3 years of experience in finance or analytics with strong analytical skills and expertise in tools like Excel and SQL.
Teya is committed to an inclusive workplace and offers numerous perks including enhanced leave and health benefits.
Data-Driven Finance Associate: Modeling & Insights in London employer: Teya Services Ltd
Contact Detail:
Teya Services Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Finance Associate: Modeling & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the finance industry, especially those who work at Teya Services Ltd. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your financial models and data analysis projects. This will help us see your expertise in action and how you can contribute to our team.
✨Tip Number 3
Practice makes perfect! Brush up on your Excel and SQL skills before the interview. We love candidates who can demonstrate their analytical prowess, so be ready to tackle some practical questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining Teya Services Ltd. and being part of our inclusive workplace.
We think you need these skills to ace Data-Driven Finance Associate: Modeling & Insights in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in finance and analytics. We want to see how your skills in Excel and SQL can drive insights, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about supporting small businesses and how your analytical skills can contribute to Teya’s mission.
Showcase Your Analytical Skills: In your application, give examples of how you've used data to make decisions or improve performance. We love seeing real-world applications of your skills, so be specific!
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 don’t miss out on any important updates from Teya!
How to prepare for a job interview at Teya Services Ltd
✨Know Your Numbers
Brush up on your financial modelling skills and be ready to discuss specific examples of how you've used Excel and SQL in previous roles. Teya Services Ltd. will want to see that you can not only analyse data but also derive actionable insights from it.
✨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical skills by discussing past projects where you solved complex problems or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers and make them impactful.
✨Understand the Business Landscape
Familiarise yourself with the small business sector and the challenges they face. This knowledge will help you articulate how your role as a Finance Associate can directly support their performance and decision-making.
✨Embrace Inclusivity
Teya is committed to an inclusive workplace, so be prepared to discuss how you value diversity and collaboration. Share experiences where you worked effectively in diverse teams or contributed to an inclusive environment.