At a Glance
- Tasks: Analyse data to drive business decisions and improve operational efficiency.
- Company: Growing manufacturing business in Manchester with a supportive team culture.
- Benefits: Competitive salary, clear progression pathway, and mentorship from experienced professionals.
- Other info: Hands-on experience and opportunities for growth in a collaborative setting.
- Why this job: Kick-start your finance career in a dynamic, data-driven environment.
- Qualifications: Recent graduate in Finance or related field with strong analytical skills.
The predicted salary is between 30000 - 30000 £ per year.
A well-established and growing manufacturing business based in Openshaw, Manchester is currently seeking a highly motivated Graduate Finance Data Analyst to join their finance team. This is an excellent opportunity for a recent graduate looking to kick-start their career within a fast-paced, data-driven manufacturing environment, where you will gain exposure to both financial and operational performance.
The Role
Reporting directly to the Finance Business Partner, you will support the wider finance function by analysing large volumes of data to provide meaningful insights that drive business decisions. You will play a key role in improving visibility across production, cost control, and operational efficiency, working closely with stakeholders across finance and the wider business.
Key Responsibilities:
- Extract, manipulate, and analyse large and complex data sets from multiple systems
- Support monthly reporting, forecasting, and budgeting processes
- Develop and maintain performance dashboards relating to production, costs, and KPIs
- Identify trends, variances, and opportunities to improve efficiency and profitability
- Assist in analysing manufacturing performance, including cost of goods and operational metrics
- Work closely with stakeholders across finance, operations, and production teams
- Support process improvements, automation, and data integrity initiatives
- Provide ad hoc analysis and insight to support strategic decision-making
About You:
- Recent graduate in Finance, Accounting, Economics, Mathematics, Data Analytics, or a related discipline
- Strong analytical mindset with excellent attention to detail
- Comfortable working with large data sets (academic or placement experience welcomed)
- Strong Excel skills (e.g., pivot tables, lookups, data analysis)
- Exposure to Power BI, Tableau, or similar tools is advantageous
- A proactive, inquisitive approach with a desire to learn
- Strong communication skills with the ability to present data clearly
- Keen interest in developing within a manufacturing or commercial finance environment
What’s on Offer:
- Salary of 30,000
- A clear pathway for progression within finance and analytics
- Hands-on experience within a dynamic manufacturing setting
- Mentorship from an experienced Finance Business Partner
- A supportive and collaborative team environment
If you’re interested in this role, click apply now to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Graduate Finance Data Analyst employer: Hays
Join a well-established manufacturing business in Openshaw, Manchester, where you will embark on a rewarding career as a Graduate Finance Data Analyst. With a competitive salary of £30,000, you will benefit from a clear pathway for progression, hands-on experience in a dynamic environment, and mentorship from seasoned professionals, all within a supportive and collaborative team culture that values your growth and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Finance Data Analyst
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the finance industry. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your studies or projects to demonstrate how you can add value to the team.
✨Tip Number 3
Don’t just apply through job boards; head over to our website and submit your application directly. It shows initiative and gives you a better chance of standing out!
✨Tip Number 4
Follow up after interviews with a thank-you email. It’s a simple way to express your appreciation and keep your name fresh in their minds as they make their decision.
We think you need these skills to ace Graduate Finance Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Graduate Finance Data Analyst role. Highlight relevant skills like data analysis, Excel proficiency, and any experience with tools like Power BI or Tableau. We want to see how you fit into our fast-paced, data-driven environment!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about finance and data analysis. Share specific examples of your analytical mindset and how you've tackled challenges in the past. We love seeing your personality come through!
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Mention any projects or coursework where you’ve worked with large data sets or performed complex analyses. We’re looking for someone who can provide meaningful insights, so let us know what you’ve done!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your CV and cover letter directly. Plus, it helps us keep everything organised as we review applications!
How to prepare for a job interview at Hays
✨Know Your Data
As a Graduate Finance Data Analyst, you'll be working with large data sets. Brush up on your Excel skills and be ready to discuss how you've used data analysis in your studies or any placements. Be prepared to explain your thought process when analysing data and how you can derive insights from it.
✨Understand the Business
Familiarise yourself with the manufacturing industry and the specific company you're interviewing with. Research their products, market position, and any recent news. This will help you demonstrate your interest and show that you understand how finance plays a role in operational efficiency.
✨Prepare for Technical Questions
Expect questions about financial concepts and data analysis techniques. Review key terms related to budgeting, forecasting, and performance metrics. Practising common interview questions can help you articulate your knowledge clearly and confidently.
✨Show Your Communication Skills
You'll need to present data clearly to stakeholders. Prepare examples of how you've communicated complex information in the past, whether through presentations or reports. Highlight your ability to tailor your communication style to different audiences, as this is crucial in a collaborative environment.
