At a Glance
- 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 transforming 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 with opportunities for growth and a supportive culture.
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.
Experience required:
- Working with business-critical systems and data, ideally spanning finance, sales, and operations.
- Hands-on exposure to ERP, finance, CRM, project management, or analytics platforms, with the ability to understand how they fit together end-to-end.
- Familiarity with tools such as NetSuite, CCH Tagetik, CRM systems, reporting/BI tools, workflow automation platforms (e.g. Zapier), and relational databases (e.g. Azure-hosted databases) is highly beneficial.
- Strong understanding of data models, integrations, and data flows, with the ability to diagnose issues and design pragmatic improvements.
- Comfortable working with reporting and analytics to produce forecasting, performance, and profitability insights, rather than purely operational reports.
- An interest in, or early experience with, automation and AI-enabled workflows, and how these can be applied to real business problems.
- Able to translate business questions into data structures, analysis, and clear outputs that support decision-making.
You are highly organised and able to manage multiple streams of work simultaneously, balancing implementation, improvement, and analysis. You are motivated by ownership, responsibility, and the opportunity to grow into a broader, more senior role over time.
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 (Consulting) in City of London employer: VantagePoint
Contact Detail:
VantagePoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect (Consulting) in City of London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those who work at VantagePoint or similar companies. A friendly chat can lead to insider info about job openings and even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data architecture, automation, and AI workflows. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Be proactive! If you see a role that fits your skills on our website, don’t wait around. Apply directly and follow up with a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Prepare for interviews by brushing up on your knowledge of tools like NetSuite and CRM systems. Be ready to discuss how you've used data to drive insights and improvements in past roles. Confidence is key!
We think you need these skills to ace Data Architect (Consulting) 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 mission at StudySmarter. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Analytical Skills: In your application, don’t forget to highlight your ability to turn data into insights. Share examples of how you've analysed performance trends or improved data governance in previous roles. We love seeing candidates who can connect the dots between data and business outcomes!
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’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
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 discuss how you've turned data into actionable insights in previous roles. Think about times when you identified trends or gaps in performance and how you communicated these findings to drive decisions. Use concrete examples to illustrate your analytical prowess.
✨Demonstrate Your Hands-On Experience
Since this role involves a lot of design and configuration, be ready to talk about your hands-on experience with tools like NetSuite or Azure-hosted databases. Share specific projects where you’ve architected or improved data systems, highlighting your role in the process.
✨Emphasise Continuous Improvement
This position is all about driving a continuous improvement roadmap. Be prepared to discuss how you’ve implemented ongoing enhancements in past roles. Talk about your approach to balancing speed and robustness in system design, and how you’ve used automation and AI to streamline workflows.