At a Glance
- Tasks: Analyse data and create reports to drive finance decisions in a global team.
- Company: Join a dynamic global finance services team in Manchester.
- Benefits: Gain hands-on experience, mentorship, and a strong foundation for your career.
- Other info: Diverse and inclusive workplace with excellent growth opportunities.
- Why this job: Make a real impact on finance operations while developing your data skills.
- Qualifications: Studying a numerate degree; Excel skills required, Python/R/SQL knowledge is a plus.
The predicted salary is between 18000 - 25000 € per year.
Join Global Finance Services, our finance shared services team, in Manchester and help transform how data drives decision-making across a global organisation. This role sits within our finance function and will support teams across Order to Cash (OTC), Procure to Pay (PTP), and Record to Report (RTR) by delivering high-quality data analysis, reporting, and insights. You'll play a key role in helping improve data visibility, accuracy, and decision‑making across the department. This is a hands‑on role where you'll take ownership of meaningful projects, not just support tasks. You'll gain exposure to large, complex datasets and play a key role in improving how finance operates at scale. It is an excellent opportunity for a student looking to apply data skills in a real‑world finance environment within a fast‑paced, global organisation.
What you'll be doing:
- Collate and clean datasets from internal and external sources
- Build and maintain reports and dashboards
- Conduct exploratory analysis to surface trends and insights
- Support presentation of findings to internal stakeholders
- Document data processes and methodologies
What you'll gain:
- Hands‑on experience working with enterprise finance systems and real‑world business data
- The opportunity to build dashboards and analysis used by finance leaders
- Exposure to end‑to‑end finance operations in a global organisation
- Experience identifying and delivering process improvements with measurable impact
- Mentorship from experienced professionals across finance and data analytics
- A strong foundation for a future career in data, analytics, or finance
What we're looking for:
- Studying towards a degree in a numerate discipline (e.g. data science, statistics, economics, computer science)
- Proficiency in Excel; working knowledge of Python, R or SQL is an advantage
- Ability to communicate findings clearly to a non‑technical audience
- Organised, detail‑oriented, and comfortable working with large datasets
Equal Opportunity Employment: We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity, and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long‑term success. We welcome all applications regardless of race, color, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation, and physical or mental disability.
Data and Analytics Intern (placement year) in Manchester employer: TargetJobs UK
Join our dynamic team in Manchester as a Data and Analytics Intern, where you'll not only gain hands-on experience with enterprise finance systems but also contribute to meaningful projects that drive decision-making across a global organisation. Our inclusive work culture fosters diversity and provides ample opportunities for mentorship and professional growth, making it an ideal environment for students eager to apply their data skills in a real-world finance setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Analytics Intern (placement year) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for interviews by practising common questions related to data analysis and finance. We recommend using the STAR method to structure your answers, showcasing your skills and experiences effectively.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data analysis projects, be ready to discuss them in detail. Bring along examples or even a portfolio to demonstrate your skills and passion.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and makes it easier for us to track your application.
We think you need these skills to ace Data and Analytics Intern (placement year) in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data & Analytics Intern role. Highlight any relevant coursework, projects, or internships that showcase your data analysis abilities and familiarity with finance.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data and analytics in finance. Share specific examples of how you've used data to drive decisions or improve processes, and don’t forget to mention your enthusiasm for working in a global organisation!
Showcase Your Technical Skills:Since we're looking for proficiency in Excel and knowledge of Python, R, or SQL, make sure to include any relevant experience you have with these tools. If you've built dashboards or conducted analyses, let us know – we love seeing practical applications of your skills!
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 able to submit all your materials in one go. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at TargetJobs UK
✨Know Your Data Tools
Make sure you're familiar with Excel, Python, R, or SQL. Brush up on your skills and be ready to discuss how you've used these tools in your studies or projects. Being able to demonstrate your proficiency will show that you're prepared for the hands-on nature of the role.
✨Understand the Finance Function
Take some time to research how finance operates within a global organisation. Familiarise yourself with terms like Order to Cash, Procure to Pay, and Record to Report. This knowledge will help you speak confidently about how data impacts decision-making in finance during your interview.
✨Prepare to Share Insights
Think of examples where you've conducted data analysis or presented findings. Be ready to explain your thought process and how you derived insights from data. This will showcase your analytical skills and your ability to communicate complex information clearly to non-technical audiences.
✨Show Your Organisational Skills
Since the role involves working with large datasets, highlight your organisational skills. Discuss any experiences where you've managed multiple tasks or projects effectively. This will reassure the interviewers that you can handle the demands of the internship and contribute positively to the team.
