Siedah Oniru
Land & Site Acquisition | Property Sourcing | Planning Intelligence
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About
Property professional with 8+ years across real estate data, planning intelligence and hands-on acquisition, combining institutional-grade market knowledge from LandTech and CoStar with practical experience sourcing, appraising and negotiating residential deals - both for investor clients and a personal buy-to-let portfolio. Led a six-month programme building planning risk intelligence (Article 4 Directions) into a leading PropTech platform, giving direct insight into planning constraints that shape site viability. Now moving into a dedicated site acquisition role to apply this sourcing, data and negotiation background to land and development opportunities.
Experience
Property Sourcer (Part-time) - Freelance
(2022-05 - 2023-03)
- Sourced and appraised 35 below-market-value residential opportunities for investor clients across the UK, with 9 progressing to completion.
- Identified HMO, buy-to-let and refurbishment opportunities; negotiated purchase prices directly with vendors and agents.
- Managed transactions end-to-end with brokers, solicitors and surveyors, conducting full due diligence ahead of acquisition.
Residential Property Investor - Self-Employed
(2020-05)
- Independently source, appraise and acquire residential investment property; manage a personal portfolio achieving an average rental yield of 10.9%.
- Negotiate acquisitions directly with estate agents, vendors and intermediaries; manage legal progression through to completion.
- Oversee refurbishment projects to uplift capital value and rental income; monitor portfolio performance against investment targets.
Data Supply Manager / Project Manager - LandTech
(2023-09 - 2026-07)
A PropTech company providing a platform that helps developers, agents and housebuilders source, assess and appraise land and planning opportunities in one place.
- Led a six-month programme building Article 4 Direction planning intelligence into LandTech's platform - used by around 40 developer and agent customers to assess planning risk on potential sites.
- Managed a team of 24 international data specialists maintaining residential and commercial property datasets, improving completion rates by 35% through process redesign.
- Managed over 3 third-party suppliers and 9 commercial data partnerships, identifying new dataset opportunities that contributed an estimated £175k in incremental revenue.
- Established as LandTech's subject matter expert on UK residential and commercial property data and planning intelligence.
Commercial Property Data Specialist - LandTech
(2022-04 - 2023-08)
- Owned a UK commercial property transaction dataset of ~120,000 records, improving data accuracy by 15% - used by institutional investors and developers to inform acquisition decisions.
- Delivered market insight analysis that directly informed client-facing investment and site decisions.
Senior Research Analyst - CoStar Group
(2018-06 - 2022-03)
CoStar Group is the global leader in commercial real estate information and analytics, providing data on millions of properties to investors, brokers, lenders and developers worldwide.
- Managed research across ~5,000 commercial properties, cross-referencing Land Registry, Companies House and CoStar data to support acquisition and investment due diligence for banks, investors and developers.
- Built strong relationships with agents, investors and surveyors.
- Ranked as a top performer against volume and accuracy targets for 4 consecutive quarters.
- Trained and onboarded 7 new analysts, shortening ramp-up time to full productivity by 25%.
Business Development Manager - Redsquid Communications
(2017-05 - 2018-05)
- Generated new UK public-sector business and secured major accounts including GSK.
Customer Service Representative, Operations Scheduler, Telesales Consultant - Multiple Employers
(2015-06 - 2017-05)
Held positions at Serco, ComputaCenter and Everest Home Improvements
Teaching Assistant (Temp) - Wilbury Primary School
(2015-01 - 2015-05)
Education
BA (Hons)
Product Management for AI & Data Science
A-Levels & GCSEs