Job
- Level
- Experienced
- Job Field
- Data, Project
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
You analyze business processes in the real estate sector and identify how AI can be effectively leveraged to increase efficiency, while supporting implementation through cost models and analytical methods.
Job Technologies
Your role in the team
- You bridge the gap between business operations and AI possibility - mapping how work actually flows today, and showing what it could realistically look like tomorrow.
- This is a role for someone equally at home in a stakeholder workshop, a BPMN diagram, and a cost model.
- You start every project by understanding the problem deeply - the people, the data, the friction, the systems of record.
- Then you figure out where AI can genuinely help, where an existing PropTech vendor already does it better, and what it would actually cost and save to get there.
- You are the person who keeps us from automating a broken process or building something we should have bought.
- Conduct structured stakeholder interviews across asset management, property management, leasing, finance/controlling, and ESG to identify the processes where AI could generate real value.
- Document current-state and target-state processes using BPMN, Visio, or comparable notation - at a level of rigour that engineers, vendors, and auditors can all work from.
- Build the business case for each opportunity: cost-to-serve today, expected savings, implementation cost, payback, and the assumptions behind every number.
- Apply build-vs-buy discipline as a default mindset.
- Before greenlighting any internal build, evaluate whether a PropTech or horizontal SaaS vendor already solves the problem better, faster, or cheaper - and document the reasoning either way.
- Map every initiative to the relevant systems of record (ERP, property management system, CAFM, data warehouse, document management) and clarify where data lives, who owns it, and where integration boundaries sit.
- Define functional requirements, success metrics, and acceptance criteria precisely enough that a Solutions Engineer or external vendor can deliver against them without rework.
- Partner with the AI Solutions Engineer on scoping, hand-off, and post-launch measurement - closing the loop between projected and actual value.
- Maintain a prioritised opportunity backlog and a clear, defensible point of view on sequencing.
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Our expectations of you
Qualifications
- You understand the difference between a service charge reconciliation and an operating expense recovery, what a rent roll actually contains, how leasing pipelines are managed, and how asset and property management interact day to day.
- You will not spend your first six months learning vocabulary.
- Process analysis craft - fluency in BPMN, Visio, or equivalent, with a real portfolio of as-is/to-be process work behind you.
- Business-case rigour - comfortable building cost models and ROI analyses in Excel from first principles, and equally comfortable defending the assumptions.
- System-of-record literacy - working understanding of how ERP systems, property management systems, and data warehouses fit together, and where the boundaries between them sit.
- You don't need to be an integration engineer, but you should know what an API contract is, what master data means, and why it matters.
- AI literacy - practical understanding of where modern LLMs, automation platforms, and agents genuinely add value - and where they don't.
- You can tell the difference between a use case that needs Copilot Studio, one that needs a vendor, and one that needs nothing at all.
- Stakeholder skill - credibility with senior operators and finance partners, patience with end users, and the ability to translate fluently between them.
- Languages - full professional fluency in German and English.
Experience
- Real estate domain expertise (required) - several years working in or directly with real estate operations.
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What we offer
- Interesting, varied and broad range of tasks in one of the largest real estate companies in Germany and Europe.
- Individual training and coaching for professional and personal development in our Academy and with our in-house business coach.
- Professionally equipped, in-house gym with trainers and courses at the headquarters in Berlin as well as fitness and health offers through the Wellhub platform at all external locations.
- Umfassendes Gesundheitsmanagement im Unternehmen und betriebliche Altersvorsorge.
- Support for commuting through a subsidy for the use of public transport and the option to lease a bicycle through Eurorad.
- Mobility and flexibility through the use of pool cars and company cars to carry out tasks.
- Flexible working hours and mobile working for an even better work-life balance.
- Exciting virtual range of family-friendly benefits, including vacation programs, leisure and sports activities and consulting services with our partner company Voiio.
- Opportunity to attend Bundesliga matches of FC Union Berlin, our favorite club.
- Discounts in selected hotels worldwide with up to 30% on overnight stays and special conditions on food and drinks.
- Employee discounts for special conditions in the areas of media, fashion, leisure, facilities and much more via a partner company.
- Additional days off on Christmas Eve & New Year's Eve.
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Topics that you deal with on the job
Job Locations
This is your employer
Aroundtown SA
Aroundtown S.A. is the third-largest publicly listed real estate company in Europe, investing in high-quality, income-generating properties. The company pursues a value creation strategy through operational repositioning and intensive property management, focusing on prime locations in Germany, the Netherlands, and London. Its headquarters is located in Berlin-Tegel, and residential properties are primarily managed through its subsidiary Grand City Properties S.A.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Construction, Real Estate, Building Services
AI Business Analyst
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
