Data Analyst - Remote-Stelle

Dwelly sucht Data Analyst. Die Stelle liegt im Bereich Daten und Analytics und ist vollständig remote. Das Unternehmen schränkt den Wohnort der Kandidatin nicht ein, Sie können sich also von überall bewerben.

Die wichtigsten in der Anzeige genannten Werkzeuge sind: SQL, Power BI, Tableau. Der Lebenslauf sollte konkrete Beispiele genau dieser Fähigkeiten zeigen.

Das Unternehmen hat keine Zahl veröffentlicht, das klärt sich im Gespräch. Zu den Arbeitszeiten stellt die Anzeige keine Bedingung.

Diese Stelle hat eine automatische Prüfung durchlaufen: Anzeigen, die eine ausländische Arbeitserlaubnis, Visa-Sponsoring, eine bestimmte Staatsangehörigkeit oder den Wohnsitz in einem genannten Land verlangen, kommen nicht auf die Liste.

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-oriented mindset

* Strong attention to detail and data quality

* Ability to translate data into actionable business insights

* Comfortable operating in a fast-paced, scaling startup environment

* Strong communication skills in English

Compensation & Benefits:

* The role is fully remote, providing flexibility and enabling seamless collaboration with our geographically distributed team.

* Competitive salary with the potential for equity options based on performance, recognising exceptional contributions to our integration success.

What is it like being a Dwell-er? Feel free to check out Dwelly Core Principles. That’s about what we believe in, how we operate and make decisions. What we offer is not a fancy office or a static workplace. Instead, this is solving one of worlds’ most complex problems in the largest consumer industry in the world (residential rentals), to improve the experience for >30% of households (>5M in the UK, and >100M including EU and US) that live in rental homes. This is about disrupting the largest, most antiquated industry in the world, with one of the strongest operational and technical teams that exist in the UK and the EU. We work hard, and we shoot for extremely ambitious results. But we want people to be proud of what they’ve built and be able to look back and say one day “hell yeah, that was me that did it all”.

* Customer obsession rather than competitive focus

* Passion for invention

* Operational excellence

* Long-term thinking

By applying for this position, you consent to the processing and storage of your personal data for recruitment purposes for up to 365 days, in accordance with our data retention policy and applicable data protection laws.

Originally posted on Himalayas