Dwelly
Real Estate
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at Dwelly. Skills: Data analysis, Business intelligence, Machine learning, AI. Analyse large datasets. Identify trends”
What You'll Achieve.
Improve performance; Improve decision-making
Industry & Context.
Analytical approaches
What They're Looking For.
Must Have
3+ years of experience, SQL skills, Experience with BI tools
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Analyse large datasets
Identify optimisation opportunities
Build reporting frameworks
Support feature validation
Support performance measurement
Break down business problems
Improve data accuracy
Improve data consistency
Improve internal reporting standards
How You'll Work.
Team & Collaboration
Product teams; Engineering teams; Operations teams; Commercial teams
Communication Scope
Actionable insights
Full Job Description
About Dwelly Dwelly — a UK-based, AI-enabled lettings and property management platform, that is growing through a roll-up strategy acquiring estate agencies. The company leverages two arms: i) acquiring existing letting agencies, effectively buying its highly sticky, recurring revenue-type landlords portfolios, and then ii) building a top-notch technology to automate tenant management, payments, and post-rental property maintenance. The company seamlessly integrates AI services to automate all business processes within brick-and-mortar real estate agencies, integrating them into a tech-enabled digital letting platform in two months to radically improve the user experiences and increase efficiency of the business. We’re a fast-growing, product-focused company, backed by top-tier investors and led by a team with deep experience in real estate, technology, and operations. Position Summary Note: This is an evergreen role. We’re continuously building our data bench and are always open to meeting exceptional Data Analysts who want to help scale a high-growth platform. This is a cross-functional role working across Product, Operations, and Commercial teams. Your mission will be to turn complex, real-world data into structured insights that directly improve performance and decision-making. Key Responsibilities: Analyse large datasets to identify trends, risks, and optimisation opportunities Define and track KPIs across operational and product performance Build clear, reliable dashboards and reporting frameworks Partner with Product and Engineering to support feature validation and performance measurement Break down ambiguous business problems into structured analytical approaches Improve data accuracy, consistency, and internal reporting standards Qualifications & Preferred Background: 3+ years of experience in Data Analytics / Business Intelligence Strong SQL skills (mandatory) Experience with BI tools (Looker, Power BI, Tableau, Metabase, etc.) Structured, systems-oriente
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