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- Tasks: Automate financial reporting and enhance planning processes using Power BI, SQL, and Excel VBA.
- Company: Join a leading global manufacturer focused on innovation and operational excellence.
- Benefits: Competitive salary of £60,000-£65,000 and exposure to cutting-edge financial systems.
- Why this job: Make a real impact by influencing business outcomes through data-driven insights.
- Qualifications: Experience in business intelligence, financial analysis, and strong technical skills in relevant tools.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 60000 - 65000 £ per year.
A leading global manufacturer is seeking a highly skilled and technically proficient Finance Data and FP&A Analyst. With a strong focus on innovation, data integrity, and operational excellence, this business is undergoing a transformation to streamline financial processes and empower strategic decision-making.
You will play a pivotal role in automating and enhancing financial reporting and planning processes. You’ll be responsible for identifying manual workflows and designing automated solutions using tools such as Power BI, SQL, and Excel VBA. Your work will reduce cycle times, improve data accuracy, and support agile financial management. You’ll consolidate data from ERP systems, spreadsheets, and operational databases into structured datasets, enabling more accurate forecasting, budgeting, and performance analysis. A key part of the role involves developing dynamic dashboards and reports that provide clear visibility into financial and operational metrics for senior stakeholders. You’ll collaborate closely with FP&A and Operational teams to translate business needs into analytical solutions. Your insights will support cost optimisation, revenue enhancement, and strategic improvements across the organisation.
You’ll be a data-driven finance professional with proven experience in business intelligence and financial analysis. You’ll have strong technical skills in Power BI, SQL, Excel (including VBA), and ideally Python or R. Experience with SAP, SAC, and ETL processes is highly desirable. A recognised accountancy qualification (CIMA, ACCA, or ACA) is preferred. You’ll be confident in presenting data to senior stakeholders, identifying trends, and influencing business decisions. Strong communication skills and a collaborative mindset are essential.
You’ll receive a competitive salary of £60,000-£65,000, alongside the opportunity to work in a high-performing team within a globally recognised brand. The role offers exposure to cutting-edge financial systems and the chance to influence business outcomes through data-driven insights.
Finance Data Analyst in Milton Keynes employer: hays-gcj-v4-pd-online
Contact Detail:
hays-gcj-v4-pd-online Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Analyst in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data analysis field on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Power BI, SQL, and Excel VBA. Include examples of dashboards or reports you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss how you've used data to drive decisions in past roles. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with senior stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that dream job!
We think you need these skills to ace Finance Data Analyst in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Finance Data Analyst role. Highlight your experience with Power BI, SQL, and Excel VBA, as well as any relevant qualifications like CIMA or ACCA. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven finance and how you can contribute to our mission of innovation and operational excellence. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to showcase your technical prowess! Mention specific projects where you've automated financial processes or created dynamic dashboards. We love seeing real examples of how you've made a difference in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at hays-gcj-v4-pd-online
✨Know Your Tools Inside Out
Make sure you’re well-versed in Power BI, SQL, and Excel VBA. Brush up on how to automate financial reporting and planning processes, as this will be a key part of your role. Be ready to discuss specific examples of how you've used these tools to enhance data accuracy and streamline workflows.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to consolidate data from various sources into structured datasets. Think of instances where your insights led to cost optimisation or revenue enhancement. This will show that you can translate complex data into actionable business strategies.
✨Communicate Clearly and Confidently
Since you'll be presenting data to senior stakeholders, practice explaining your findings in a straightforward manner. Use visuals if possible, and be prepared to answer questions about your analysis. Strong communication skills are essential, so make sure you convey your ideas clearly.
✨Collaborate and Connect
Highlight your experience working with FP&A and operational teams. Discuss how you’ve translated business needs into analytical solutions in the past. Showing that you can work collaboratively will demonstrate your fit within their high-performing team.
