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- Tasks: Manage and validate data in NetSuite and Excel for accurate revenue reporting.
- Company: Join a global client with a focus on analytical excellence.
- Benefits: Competitive pay, flexible hours, and opportunities for skill development.
- Why this job: Make an impact by ensuring financial accuracy and supporting key business processes.
- Qualifications: Experience with Excel and data management; finance background preferred.
- Other info: Immediate start available; great for detail-oriented problem solvers.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking an Interim Revenue & Data Analyst for a global client of ours. The successful candidate will work extensively with NetSuite and Excel, supporting data management, validation, and reporting activities that underpin accurate revenue recognition and financial close. This role is well suited to someone who is highly analytical, detail‑oriented, and confident working with large datasets.
Responsibilities
- Perform detailed data management and validation within NetSuite and Excel.
- Support the application and understanding of revenue recognition rules and policies.
- Review revenue‑related data inputs across the different revenue performance obligations.
- Support both front‑end review (source data review, consistency) and back‑end review testing (output calculation, allocations, recognition periods).
- Maintain and update Excel‑based revenue trackers and supporting schedules.
- Identify data inconsistencies and escalate issues with clear supporting analysis.
- Support reconciliation projects, ensuring revenue and deferred revenue balances are accurate and complete.
- Support month‑end and fiscal close processes through data preparation and validation.
- Assist with audit preparedness, particularly in advance of fiscal year‑end, by preparing schedules and supporting documentation.
- Continue supporting front‑end and back‑end review testing as required.
Skills and Experience
- Advanced Excel capability (Pivot tables, XLOOKUP/VLOOKUP/INDEX‑MATCH) with proven experience handling and validating large datasets.
- 1-3 years’ experience in a finance, accounting, or analytical role, with exposure to revenue, billing, deferred revenue, reconciliations, and month‑end close.
- Experience working with NetSuite or a similar ERP system, supporting accurate data for reporting and close.
- Able to work independently with data, manage detailed and repetitive tasks, and elevate issues appropriately; strong organizational skills and attention to detail.
- Clear communicator, able to explain data findings to senior stakeholders, with a willingness to learn revenue recognition concepts and basic exposure to US GAAP.
This is an urgent role and candidates who are available immediately or at short notice are preferred. We are happy to consider applications from all candidates who are able to demonstrate the skills necessary to fulfil the role.
Interim Revenue & Data Analyst in London employer: Brewer Morris
Contact Detail:
Brewer Morris Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Interim Revenue & Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data analysis fields. Let them know you're on the lookout for opportunities, and who knows? They might just have the inside scoop on openings that aren't even advertised yet.
✨Tip Number 2
Get your hands dirty with practice! If you’re not already familiar with NetSuite or advanced Excel functions, now’s the time to dive in. There are loads of online resources and tutorials that can help you brush up on those skills, making you a more attractive candidate.
✨Tip Number 3
Prepare for interviews by practising common questions related to revenue recognition and data management. Think about how you can showcase your analytical skills and attention to detail. We want you to shine when it comes to explaining your experience with large datasets!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Interim Revenue & Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Excel and NetSuite, as these are key for the role. We want to see how your skills match up with the responsibilities listed in the job description.
Showcase Your Analytical Skills: In your application, give examples of how you've handled large datasets and performed data validation. We love seeing real-life scenarios where you've made a difference through your analytical prowess.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so explain your relevant experience without fluff. Make it easy for us to see why you’re the right fit!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Brewer Morris
✨Master the Tools
Make sure you're well-versed in Excel and NetSuite before the interview. Brush up on advanced Excel functions like Pivot tables and XLOOKUP/VLOOKUP, as these will be crucial for the role. Being able to demonstrate your proficiency with these tools can really set you apart.
✨Know Your Numbers
Familiarise yourself with revenue recognition rules and policies. Be prepared to discuss how you've applied these concepts in previous roles. Showing that you understand the importance of accurate data management and validation will impress the interviewers.
✨Showcase Your Analytical Skills
Prepare examples of how you've handled large datasets and resolved inconsistencies in the past. Think about specific challenges you faced and how you overcame them. This will highlight your analytical mindset and attention to detail, which are key for this position.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your analysis to senior stakeholders, so being a clear communicator is essential. Try to convey your thought process and findings confidently during the interview.
