At a Glance
- Tasks: Support the Operations team with data analysis and process improvements for financial performance.
- Company: Join Grosvenor, a leading property management company in London.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact on financial performance while developing your analytical skills.
- Qualifications: 2+ years in data analysis, advanced Excel skills, and experience in financial reconciliations.
The predicted salary is between 30000 - 40000 £ per year.
Purpose of the Role
Support the Operations team in improving financial and service performance across the London Estate by delivering high-quality data analysis, commercial insight, and process improvements.
About the Role
Grosvenor are looking for a commercially minded Commercial Data Analyst to join the Operations team on a fixed-term maternity cover. This is a hands-on role supporting the London Estate, where you will quickly become a key part of the team—providing insight, improving processes, and helping drive financial and service performance. The Operations team is accountable for managing and delivering all property management functions, and leads a complex, large-scale supply chain across the London Estate, managing key contracts with a total annual value exceeding £12m.
Key Responsibilities
- Financial & Commercial Oversight
- Monitor supplier spend against budgets, identifying opportunities and escalating risks
- Manage purchase orders, payments, and contract changes accurately and efficiently
- Complete monthly and quarterly reconciliations (POs, invoices, tasks, credits, allocations)
- Analysis & Reporting
- Produce clear, insight-led reporting on spend, pricing, and performance
- Support procurement and tender analysis, including pricing reviews
- Provide data to inform service charge budgeting
- Identify opportunities to improve cost, service quality, and efficiency
- Process & System Management
- Improve payment mechanisms and ensure contractual compliance
- Support CAFM and financial system updates, testing, and data integrity
- Upload and manage bulk data (e.g. ETL into Voyager)
- Stakeholder Collaboration
- Work with finance, service charge, and service partner teams to resolve queries and ensure accurate coding and recoverability
- Act as a key liaison for commercial and reconciliation matters
Key Requirements
Essential:
- At least 2 years of experience in a data, financial, commercial, or performance analysis role.
- Advanced Excel: confident with pivot tables, lookups (XLOOKUP/INDEX-MATCH), SUMIFS, working with large complex datasets and combining data sets from different sources.
- Experience with managing financial reconciliations and purchase order processes (POs, invoices, tasks, credits, allocations)
- Experience monitoring supplier spend against budgets, identifying variances, opportunities and risks.
- Experience producing analytical reporting and commercial insight on spend, pricing, and performance for stakeholders.
- Experience managing relationships with both internal and external stakeholders in a fast-paced operational environment.
- Experience working across business and finance systems (e.g. ERP, finance, and property management platforms).
- Experience importing, cleaning, and managing large datasets into a system.
Desirable:
- Power BI (or a comparable BI/visualisation tool) for reporting and dashboards
- Service charge accounting knowledge
- Experience in a property, real estate or facilities management environment
We know flexibility is important and take a hybrid approach to working, please contact us for further details. We want you to have every opportunity to show us your strengths. There are adjustments available for our process, please contact us on grosvenor.recruitment@grosvenor.com to discuss. Grosvenor is proud to be a Disability Confident Committed employer. If you would like to speak with us for more detail, please contact grosvenor.recruitment@grosvenor.com.
Please note that automated AI recruitment tools are used as part of our recruitment process. These tools help our hiring teams to review applications quickly and fairly. For further details of how we use AI in recruitment please see our Recruitment Privacy Notice.
To apply for this job please click on "Apply". To begin your application you will be asked to create an account. Please carefully read our Recruitment Privacy Notice before proceeding with an application. The privacy notice sets out how Grosvenor obtains, uses and protects the personal information which you provide to us.
Commercial Data Analyst (12-month FTC) employer: Grosvenor Group
Grosvenor is an exceptional employer, offering a dynamic work environment in the heart of London where you can make a tangible impact on financial and service performance. With a strong focus on employee growth, we provide opportunities for professional development and a collaborative culture that values insight and innovation. Our commitment to flexibility and inclusivity ensures that every team member can thrive while contributing to our mission of excellence in property management.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data Analyst (12-month FTC)
✨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 Grosvenor Group 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.
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We think you need these skills to ace Commercial Data Analyst (12-month FTC)
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Grosvenor Group, 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 Grosvenor Group, 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 Grosvenor Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Grosvenor Group
✨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 Grosvenor Group.
✨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 Grosvenor Group.
✨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 Grosvenor Group.
