At a Glance
- Tasks: Transform complex financial data into clear, actionable insights for decision-making.
- Company: Join a forward-thinking tech company focused on financial transparency.
- Benefits: Earn £400 per day with remote work flexibility and a dynamic team environment.
- Other info: Ideal for detail-oriented individuals who thrive in evolving environments.
- Why this job: Make a real impact by connecting technology costs to business outcomes.
- Qualifications: Strong Excel skills and experience in data modelling and analysis required.
The predicted salary is between 35000 - 39000 £ per year.
We require a strong Data Analyst with financial experience to join a Technology Business Management team ensuring accurate costings for their infrastructure operations spend. You will be modelling (Excel) the cost of operations into Apptio.
Essential: We want someone who has worked on IT Finance data so you will have knowledge around finance.
Role Overview
This role sits within the Technology Business Management (TBM) team supporting Infrastructure Operations (I O). TBM provides a structured way of connecting technology spend to the services, platforms, applications, and business outcomes it supports.
The role supports the development and delivery of TBM outputs, including cost transparency views, service and product costings, cost drivers, allocation logic, and insight that helps stakeholders understand where technology costs sit, what drives them, and how they can be managed.
This is a hands-on modelling and analysis role suited to someone who enjoys turning complex financial and operational data into clear, usable outputs that support decision-making across Technology, Finance, and Service teams.
Key Responsibilities
- Build, maintain, and enhance TBM models supporting cost transparency
- Structure and transform large, complex datasets (financial and operational)
- Develop Excel-based models for analysis and reporting outputs for Apptio
- Align and reconcile data across multiple sources (e.g. GL, vendor, operational data)
- Translate raw data into structured TBM outputs (cost views, cost drivers, allocations)
- Identify and resolve data quality issues and inconsistencies
- Collaborate with TBM, Finance, and Service teams to ensure accuracy and usability of outputs
Skills Experience Required
Core Requirements:
- Proven experience in strong data modelling and analysis (Excel-heavy)
- Advanced Excel capability (large datasets, complex formulas, structured modelling)
- Strong ability to work with complex and unstructured data
- Experience building models from scratch and enhancing existing models
- Strong analytical and problem-solving skills
Supporting Experience:
- Solid financial understanding (cost structures, forecasting logic, interpreting financial data)
Desirable:
- Exposure to strong Technology Business Management (TBM)
- Experience working with IT or Infrastructure cost data
- Understanding of TBM concepts (cost pools, towers, services, allocations)
- Familiarity with Apptio or similar tools (not essential)
Key Characteristics
- Detail-oriented with strong focus on accuracy and data integrity
- Comfortable working in ambiguous and evolving environments
- Proactive, hands-on, and delivery-focused
- Strong collaboration across technical and finance stakeholders
Candidates will ideally show evidence of the above in their CV in order to be considered.
Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy and operates as an equal opportunities employer.
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
IT Finance Data Analyst employer: Pontoon Solutions
At Pontoon Solutions, we pride ourselves on being an excellent employer by fostering a collaborative and inclusive work culture in Gateshead. Our commitment to employee growth is evident through continuous training opportunities and support for career advancement, ensuring that every team member can thrive in their role. Join us to be part of a dynamic environment where your contributions directly impact product strategies and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land IT Finance Data Analyst
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We think you need these skills to ace IT Finance Data Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon Solutions, 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 Pontoon Solutions, 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 Pontoon Solutions’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon Solutions
✨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 Pontoon Solutions.
✨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 Pontoon Solutions.
✨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 Pontoon Solutions.
