At a Glance
- Tasks: Support the Operations team with data analysis and process improvements for financial performance.
- Company: Join Grosvenor, a leading company in property management with a commitment to excellence.
- Benefits: Gain valuable experience, develop your skills, and work in a supportive environment.
- Other info: Dynamic role with opportunities for growth in a fast-paced environment.
- Why this job: Make a real impact by providing insights that drive financial and service performance.
- Qualifications: 2+ years in data or financial analysis, advanced Excel skills required.
The predicted salary is between 35000 - 45000 £ 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 is 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.
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
- 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 and 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 Skills
- 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.
Grosvenor is proud to be a Disability Confident Committed employer.
Commercial Data Analyst (12-month FTC) in London employer: Grosvenor Group
Grosvenor is an exceptional employer that values its employees by fostering a collaborative and inclusive work culture, particularly within the dynamic London Estate. As a Commercial Data Analyst, you will benefit from opportunities for professional growth while contributing to meaningful projects that enhance financial and service performance. With a commitment to employee well-being and development, Grosvenor offers a supportive environment where your insights can drive impactful change.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Data Analyst (12-month FTC) in London
✨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.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Grosvenor Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Grosvenor Group.
We think you need these skills to ace Commercial Data Analyst (12-month FTC) in London
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.
