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- Tasks: Lead cash and liquidity activities, manage bank accounts, and enhance decision-making models.
- Company: Dynamic financial services provider committed to diversity and inclusion.
- Benefits: Permanent contract with competitive salary and inclusive workplace culture.
- Why this job: Make a real impact on financial decision-making while developing your analytical skills.
- Qualifications: Experience in cash management, Excel for forecasting, and strong data analysis skills.
- Other info: Join a supportive team that values diverse perspectives and career growth.
The predicted salary is between 36000 - 60000 £ per year.
A financial services provider is seeking a Cash Management Analyst to lead cash and liquidity activities across the Group. This role focuses on managing bank account and liquidity data, building budgets, and enhancing decision-making models.
Key skills include:
- Cash management techniques
- Excel for forecasting
- Data analysis
The position offers a permanent contract and values diversity in the workplace, ensuring an inclusive environment for all employees.
Cash & Liquidity Analytics Specialist employer: New Day
Contact Detail:
New Day Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cash & Liquidity Analytics Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the financial services sector, especially those who work in cash management. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! When you get the chance to meet potential employers, be ready to discuss your experience with cash management techniques and Excel forecasting. Bring examples of how you've used data analysis to make decisions.
✨Tip Number 3
Prepare for interviews by practising common questions related to liquidity management. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Cash & Liquidity Analytics Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cash management and liquidity data. We want to see how your skills align with the role, so don’t be shy about showcasing your Excel prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about cash management and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Analytical Skills: Since this role involves data analysis and decision-making models, make sure to include examples of how you've used these skills in past roles. We’re looking for candidates who can think critically and provide insights based on data.
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’s super easy to do!
How to prepare for a job interview at New Day
✨Know Your Cash Management Techniques
Make sure you brush up on your cash management techniques before the interview. Be ready to discuss how you've applied these in previous roles, and think of specific examples that showcase your skills in managing liquidity and bank accounts.
✨Excel is Your Best Friend
Since this role requires strong Excel skills for forecasting, practice using advanced functions and data analysis tools. Prepare to demonstrate your proficiency by discussing past projects where you used Excel to build budgets or enhance decision-making models.
✨Data Analysis Skills Matter
Be prepared to talk about your experience with data analysis. Think of instances where your analytical skills led to improved cash flow or better liquidity management. Highlight any tools or software you’ve used to analyse data effectively.
✨Embrace Diversity and Inclusion
Since the company values diversity, be ready to discuss how you contribute to an inclusive workplace. Share experiences where you worked with diverse teams or how you’ve supported inclusivity in your previous roles.
