At a Glance
- Tasks: Analyse data to provide insights that drive business decisions in a dynamic manufacturing environment.
- Company: Established manufacturing business in Openshaw, Manchester with a focus on growth and innovation.
- Benefits: Competitive salary of £30,000, clear progression pathway, and mentorship from experienced professionals.
- Other info: Supportive team environment with hands-on experience and opportunities for professional development.
- Why this job: Kick-start your finance career while making a real impact in a fast-paced, data-driven setting.
- Qualifications: Recent graduate in Finance, Accounting, or related fields with strong analytical and Excel 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
Graduate Finance Data Analyst employer: Hays Accounts and Finance
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 an experienced Finance Business Partner, all within a supportive and collaborative team culture that values your growth and development.
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 professionals in the finance sector. A friendly chat can lead to valuable insights and even job leads.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method to structure your answers – it’ll help you shine!
✨Tip Number 3
Showcase your skills with a portfolio! If you've worked on any projects or analyses during your studies, compile them into a neat presentation. It’s a great way to demonstrate your capabilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a straightforward way to get your application noticed.
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 team!
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 data challenges in the past. We love a good story!
Showcase Your Analytical Skills:In your application, don’t just list your skills—show us how you've used them! Whether it's through projects, coursework, or internships, give us examples of how you've extracted insights from data. We’re all about those meaningful insights!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team in Openshaw. Don’t miss out on this opportunity!
How to prepare for a job interview at Hays Accounts and Finance
✨Know Your Data
Before the interview, brush up on your data analysis skills. Familiarise yourself with Excel functions like pivot tables and lookups, as well as any experience you have with tools like Power BI or Tableau. Being able to discuss specific examples of how you've used these tools will show your analytical mindset.
✨Understand the Business
Research the manufacturing business you're applying to. Understand their products, market position, and any recent news. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role and the company.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse data or solve problems on the spot. Practice articulating your thought process clearly. Use the STAR method (Situation, Task, Action, Result) to structure your responses, especially when discussing past experiences or hypothetical scenarios.
✨Show Your Communication Skills
As a Finance Data Analyst, you'll need to present data insights clearly. Prepare to explain complex data in simple terms during the interview. Practise summarising your findings from previous projects or coursework, focusing on how you communicated those insights to others.
