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- Tasks: Transform financial data into actionable insights and enhance reporting processes.
- Company: Award-winning global investment firm with a focus on innovation.
- Benefits: Competitive salary, exposure to senior stakeholders, and professional growth opportunities.
- Why this job: Join a high-performing team and influence a data-driven approach in finance.
- Qualifications: Experience in finance reporting and strong data analysis skills required.
- Other info: 12-month contract with excellent career development potential.
The predicted salary is between 50000 - 70000 £ per year.
An award-winning global investment firm is seeking a Finance Data & Analytics Manager to join its London team on a 12-month contract. This role focuses on financial data, reporting and analytics, with an emphasis on improving how information is structured, consolidated and analysed to support decision-making across the business.
You’ll work closely with finance, data and technology teams to enhance reporting processes, strengthen data integrity and deliver insight-led analysis. The position offers strong exposure to senior stakeholders and the opportunity to influence a more data-driven approach within a high-performing environment.
The role:
- Work with financial data across multiple systems, ensuring accuracy, consistency and control
- Consolidate and transform disparate data into structured, usable datasets for reporting and analysis
- Develop and enhance management reporting, with a focus on automation and actionable insight
- Analyse revenue drivers, cost performance and key financial metrics to support commercial decision-making
- Improve finance data structures and reporting processes, reducing reliance on manual work and spreadsheets
- Support dashboarding and visual reporting (e.g. Power BI)
- Partner with finance and data teams on system improvements, data flows and transformation initiatives
- Act as a bridge between finance and technical teams to ensure data is aligned and fit for purpose
Background:
- Experience in finance reporting, FP&A or finance analytics, with a strong data focus
- Advanced Excel skills, with exposure to Power BI or similar tools
- Experience working with financial data across multiple systems
- Track record of improving reporting processes or data quality
- Financial services experience preferred
- Qualified accountant (ACA / ACCA / CIMA)
This 12-month contract is an excellent opportunity for a technically strong finance professional to combine accounting expertise with data and analytics in a global investment environment, helping shape how financial information is used to drive performance.
Finance Data Analyst in Leicester employer: KennedyPearce Consulting
Contact Detail:
KennedyPearce Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Analyst in Leicester
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data sectors. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss financial data analysis, reporting processes, and tools like Power BI. We want you to shine when they ask about your experience with data integrity and automation!
✨Tip Number 3
Showcase your achievements! When you get the chance to chat with hiring managers, highlight specific examples of how you’ve improved reporting processes or enhanced data quality in previous roles. We love seeing candidates who can demonstrate their impact!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can help us drive a more data-driven approach in finance. Let’s make it happen together!
We think you need these skills to ace Finance Data Analyst in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Finance Data Analyst. Highlight your experience with financial data, reporting, and analytics, and don’t forget to mention any tools like Power BI that you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your passion for data-driven decision-making and how you can help improve reporting processes.
Showcase Your Skills: Don’t just list your skills; show us how you’ve used them in real-life situations. Whether it’s improving data quality or automating reports, give us examples that demonstrate your impact in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you one step closer to joining our team!
How to prepare for a job interview at KennedyPearce Consulting
✨Know Your Numbers
Brush up on your financial metrics and reporting processes. Be ready to discuss how you've improved data accuracy and reporting in previous roles. This will show that you understand the importance of data integrity in decision-making.
✨Showcase Your Technical Skills
Make sure to highlight your advanced Excel skills and any experience with Power BI or similar tools. Prepare examples of how you've used these tools to automate reporting or enhance data visualisation, as this is crucial for the role.
✨Understand the Business
Research the company and its approach to finance and analytics. Be prepared to discuss how you can contribute to a more data-driven culture and improve reporting processes. This shows you're not just interested in the role, but also in the company's success.
✨Prepare for Stakeholder Engagement
Since you'll be working closely with senior stakeholders, think about how you can effectively communicate complex data insights. Practice explaining technical concepts in simple terms, as this will demonstrate your ability to bridge the gap between finance and technical teams.