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- Tasks: Own and elevate the company’s data landscape while driving insights and improvements.
- Company: VantagePoint, a rapidly growing finance transformation consultancy based in London.
- Benefits: Attractive salary, hybrid working, private healthcare, and performance bonuses.
- Why this job: Make a real impact by turning data into actionable insights and driving business success.
- Qualifications: Experience with data systems, strong analytical skills, and a passion for automation.
- Other info: Join a dynamic team and enjoy excellent career growth opportunities in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
This role exists to own and elevate the company’s internal data and systems landscape end-to-end. The Finance/Revenue data modeller is accountable for ensuring that core operational, commercial, and finance systems support automation and AI-enabled workflows. The role sits at the intersection of systems architecture and commercial insight:
- ~50% building, architecting, and continuously improving the data and systems stack.
- ~50% analysing performance, trends, and forecasts, and partnering with leadership to drive action.
Key responsibilities include:
- Projects, delivery, timesheeting, and forecasting.
- CRM and pipeline management.
- Finance, billing, and revenue recognition.
- The data model and integrations that connect them into a coherent operating platform.
- Improve data consistency, definitions, and governance across systems.
- Reduce manual work, reconciliation, and spreadsheet dependency.
- A significant portion of the systems landscape is mid-implementation or being re-architected; this role will play a hands-on part in design, configuration, and rollout.
- Designing and maintaining a clean, scalable data architecture across tools.
- Driving a continuous improvement roadmap, rather than one-off projects.
- Quality and timeliness of data.
- Use of AI to support workflows, forecasting, and analysis.
- Makes pragmatic trade-offs between speed, robustness, and long-term scalability.
- A core part of the role is turning data into insight, not just managing systems:
- Revenue forecasting and pipeline analysis.
- Identifying gaps between forecast, delivery, billing, and cash.
- Analysing customer and project profitability.
- Highlighting trends in utilisation, billing performance, and delivery efficiency.
- Identifying where performance is drifting.
- Surfacing risks and opportunities early.
Headquartered in London, VantagePoint is a global finance transformation and technology consultancy that has rapidly grown from a company of five to a company of more than 120 in just five years. Our innovative team of experts work with clients all over the world and we aim to ensure that every individual is given the opportunity to thrive and progress within their career. We’re passionate about improving the finance function and the value it creates for the organisations we partner with.
We empower people to strive for more, challenge and take risks. We are passionate about building strong partnerships.
In addition to being an integral part of a boutique consultancy and an attractive salary, we offer a significant benefits package including:
- Up to 10% matched pension contribution
- Performance bonus, increasing with length of service
- Share scheme
- Private healthcare
- Life cover
- Hybrid working, giving you the chance to decide which days to come into the office
- Free travel to the office
- Gym allowance or wellbeing allowance
- Monthly phone bill
- Cycle to work scheme
- Employee referral bonus.
Data Architect | Data Consultancy in City of London employer: VantagePoint
Contact Detail:
VantagePoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect | Data Consultancy in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Showcase your skills in action! Create a portfolio or a personal project that highlights your data architecture expertise. This not only demonstrates your capabilities but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews by diving deep into the company’s data landscape. Understand their systems and think about how you can improve them. Bring ideas to the table; it shows initiative and that you’re already thinking about how to add value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Architect | Data Consultancy in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Architect. Highlight your experience with data models, integrations, and any hands-on work with ERP or CRM systems. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how you can contribute to our team. Don’t forget to mention any experience with automation and AI-enabled workflows.
Showcase Your Analytical Skills: In your application, be sure to highlight specific examples where you've turned data into actionable insights. We love candidates who can analyse performance trends and drive decisions based on data!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at VantagePoint
✨Know Your Data Inside Out
Make sure you’re well-versed in the data models and integrations relevant to the role. Brush up on how different systems like ERP, CRM, and analytics platforms work together. Being able to discuss specific examples of how you've improved data consistency or governance will really impress.
✨Showcase Your Analytical Skills
Prepare to talk about your experience with forecasting, performance analysis, and identifying trends. Bring examples of how you've turned data into actionable insights in previous roles. This will demonstrate your ability to not just manage systems but also drive business decisions.
✨Emphasise Continuous Improvement
Highlight your experience with ongoing projects and improvements rather than one-off tasks. Discuss how you’ve implemented a continuous improvement roadmap in past roles, especially in relation to automation and AI-enabled workflows. This shows you're forward-thinking and proactive.
✨Be Ready for Practical Scenarios
Expect to face practical questions or case studies during the interview. Prepare to discuss how you would approach real-world problems related to revenue forecasting or pipeline management. This will help the interviewers see your problem-solving skills in action.
