Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Leasing Analyst - Btr/Pbsa

Oyster
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Analyst (Data Science team)

IT Security Analyst

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Director Analyst, Data Science, AI/Machine Learning for Leadership Expertise (Remote Europe)

Oyster are working with an established Residential Investor in their search for a Real Estate Analyst to join their London team.This Analyst will play a crucial role in revenue management, maximising the financial performance of a significant Build to Rent and Student Housing Portfolio. This position involves analysing and forecasting rental revenue streams, identifying opportunities for revenue growth, and providing insights to optimise leasing strategies, rental pricing, and overall financial returns.Key Responsibilities:Data cleansing and reportingRevenue Analysis & ForecastingMarket & Competitive AnalysisGather Pricing & Leasing dataRevenue Reporting & Data ManagementRequirements:Strong academic background with a degree in Finance, Accounting, Real Estate, Economics, data science or Maths.2+ years of experience in financial analysis, preferably within the real estate industry.Strong understanding of real estate markets, revenue management, and pricing strategies.Experience with financial modelling, forecasting, and data analysis.Proficient in financial analysis software and tools such as Excel, SQL, Power BI and financial modelling software.Strong analytical skills with the ability to interpret complex data and translate it into actionable strategies.Excellent communication and presentation skills, with the ability to convey complex information clearly to stakeholders.We would like to attract talent from all corners of the Property world for this role. Our commitment is to an equitable recruitment process so feel free to apply in any way that suits you, via WhatsApp, video message, CV, the more creative the better.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.