
Expert Data Researcher Needed – UK SPV Landlord Database
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Post a project like this29
£105(approx. $144)
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- Proposals: 12
- Remote
- #4468106
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Full-Stack Web & Mobile App Developer With AI Integration & Automation Expertise
Email List Building|B2B Lead Generation|Data Entry|Data Scraping|Pdf to Excel

⭐ No. 1 UK Lead Gen, Contact & Email Lists Building Expert, Data Researcher & Writer
⚡ Data Scientist & Data Analyst | Python, Excel Dashboards, Tableau, VA Support |PowerPoint Presentation

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Description
Experience Level: Entry
I’m looking for a highly competent, expert-level data researcher to carry out an ad-hoc project collating UK landlords operating through SPV (Special Purpose Vehicle) limited companies.
The task is to build a clean, well-structured spreadsheet (any format that can be imported into Excel/Google Sheets) containing verified data sourced primarily from Companies House and/or other reliable UK property/ownership databases. IS THERE A WAY TO INCLUDE CONTACT DETAILS - EMAIL / /ADDRESS / TELEPHONE?
Key Requirements:
Proven experience using Companies House and corporate ownership databases
Strong understanding of UK property SPV structures
Ability to identify and filter landlord companies accurately
Excellent data hygiene and validation skills
Able to work independently and deliver quickly (ASAP)
Deliverable:
A spreadsheet containing SPV landlord company data
Clearly labelled columns (e.g. company name, number, directors, registered address, SIC codes, property links if available, etc.)
Scalable structure so the dataset can be expanded later
Project Type:
Fixed price (please quote based on your expected hours)
Ad-hoc with potential for repeat work
Ideal Candidate:
Advanced researcher or analyst
Prior experience in property, financial due diligence, or corporate intelligence
Comfortable working with large datasets and complex filtering logic
Please include:
Relevant experience with Companies House or similar databases
Example of similar work (if available)
Your proposed fixed price and estimated turnaround time
The task is to build a clean, well-structured spreadsheet (any format that can be imported into Excel/Google Sheets) containing verified data sourced primarily from Companies House and/or other reliable UK property/ownership databases. IS THERE A WAY TO INCLUDE CONTACT DETAILS - EMAIL / /ADDRESS / TELEPHONE?
Key Requirements:
Proven experience using Companies House and corporate ownership databases
Strong understanding of UK property SPV structures
Ability to identify and filter landlord companies accurately
Excellent data hygiene and validation skills
Able to work independently and deliver quickly (ASAP)
Deliverable:
A spreadsheet containing SPV landlord company data
Clearly labelled columns (e.g. company name, number, directors, registered address, SIC codes, property links if available, etc.)
Scalable structure so the dataset can be expanded later
Project Type:
Fixed price (please quote based on your expected hours)
Ad-hoc with potential for repeat work
Ideal Candidate:
Advanced researcher or analyst
Prior experience in property, financial due diligence, or corporate intelligence
Comfortable working with large datasets and complex filtering logic
Please include:
Relevant experience with Companies House or similar databases
Example of similar work (if available)
Your proposed fixed price and estimated turnaround time
Jackie W.
100% (26)Projects Completed
32
Freelancers worked with
32
Projects awarded
21%
Last project
30 Aug 2024
United Kingdom
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