At a Glance
- Tasks: Transform financial processes and enhance data-driven decision-making using Power BI, SQL, and Excel VBA.
- Company: Well-established organisation in the manufacturing sector, known for innovation and sustainability.
- Benefits: Competitive salary, hybrid working model, and potential for permanent position.
- Other info: Immediate start available with excellent career growth opportunities.
- Why this job: Play a key role in driving process improvement and automation in a growing business.
- Qualifications: University degree, 3 years' finance experience, and strong technical skills in data analysis.
The predicted salary is between 55000 - 65000 £ per year.
Our client is a well-established and highly regarded organisation within the manufacturing and production sector, known for innovation, operational excellence, and a strong commitment to efficiency and sustainability. They offer a collaborative working environment where finance and data play a key role in driving business performance.
As a Finance Data Analyst, you will play a pivotal role in transforming financial processes and enhancing data-driven decision-making. Key responsibilities include:
- Automating manual and repetitive processes using tools such as Power BI, SQL, and Excel VBA
- Integrating and transforming data from multiple sources to create reliable and structured datasets
- Developing dashboards and reports to support financial performance analysis and strategic decisions
- Supporting budgeting, forecasting, and scenario modelling alongside FP&A teams
- Collaborating with finance and operational stakeholders to deliver actionable insights and continuous improvements
The successful candidate will have:
- A university degree with a minimum of 3 years' experience within a finance environment
- Strong technical skills including Power BI (DAX, Power Query), SQL, and advanced Excel (including VBA)
- Experience working with financial systems such as SAP (desirable)
- Strong analytical and problem-solving skills with the ability to translate data into insights
- Experience as finance data analyst or similar
- Excellent stakeholder management and communication skills
- The ability to start immediately or on a short notice period
What's on Offer:
- Competitive salary of c.60,000
- Interim opportunity with a strong likelihood of becoming permanent
- Hybrid working model
- The chance to play a key role in driving process improvement and automation within a growing business
- Milton Keynes office
- Immediate start available
Finance Data Analyst employer: Michael Page International
Michael Page is an excellent employer, offering a dynamic work environment in Leeds that fosters professional growth and development. With a strong focus on mentoring and team collaboration, employees benefit from hybrid working arrangements and a competitive salary package, including performance-based bonuses. Joining this multinational organisation means being part of a high-growth team dedicated to delivering exceptional tax compliance services across diverse sectors.
Contact Details:
Michael Page International Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Analyst
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Michael Page International before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Michael Page International.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Michael Page International.
We think you need these skills to ace Finance Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Michael Page International, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Michael Page International, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Michael Page International’s attention and show the tangible impact of your work.
How to prepare for a job interview at Michael Page International
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Michael Page International.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Michael Page International.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Michael Page International.
