Állás részletei
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Cég neve
Cushman & Wakefield Kft.
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Munkavégzés helye
Hibrid • Budapest -
Egyéb juttatások
- Cafeteria
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárt technológiák
- ANALYTICS PROJECT MANAGEMENT BI SQL CHANGE MANAGEMENT POWER BI AGILE PMP
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Elvárások
- Angol középfok és
- Francia anyanyelvi szint
- 5-10 év tapasztalat
- Főiskola
Állás elmentve
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Állás leírása
Responsibilities
- Leading data projects across the EMEA region including initiatives leveraging Artificial Intelligence and automation
- Leading and delivering innovation and transformation projects from scoping through to measurable business impact
- Identifying and implementing opportunities to optimize data tools and processes to enhance business performance and analytics capabilities
- Structuring and maximizing the value of real estate data used by Business, Research, and Transaction Services teams
- Improving the end-to-end data lifecycle from data entry and capture to reporting to how Research, Business, and BI teams consume and act on data
- Managing and continuously improving data quality including investigating, validating, and resolving issues independently
- Supporting the deployment of new tools and processes across the organization with structured change management including training, communication plans, and stakeholder alignment
- Anticipating and managing resistance to change and adapting rollout approaches to different business lines and levels of data maturity
- Developing and maintaining strong, collaborative relationships with Research, Data, Innovation, and Business teams across France and the wider EMEA region
- Communicating project progress, risks, and recommendations clearly to senior stakeholders and non-technical audiences including steering committee reporting
Requirements
- Bachelor's or Master's degree in Business, Real Estate, Project Management, Data applied to Business, or a related field
- 5 to 10 years of successful experience in commercial real estate, consulting, Data project management, or operational roles with regular use of AI tools applied to business processes
- Experience in leading independently transformation or change management projects including tool/process adoption across multiple stakeholder groups
- Solid understanding of data models and structures with working knowledge of SQL to query, validate, and troubleshoot data independently
- Strong written and verbal communication skills with ability to translate technical data issues into clear, business-relevant language
- Genuine curiosity for automation and AI with a track record of identifying and piloting practical use cases such as workflow automation, AI-assisted data entry/QA, RPA
- Excellent organizational and coordination skills comfortable managing multiple projects in parallel
- Outstanding interpersonal and stakeholder management skills
- Ability to work effectively in an international and multicultural environment
- Native-level French and professional English (B2-C1)
- Prior experience managing or mentoring junior data/analytics staff
- Good understanding of the French commercial real estate market
- Familiarity with business intelligence and data analytics tools such as Power BI, SQL, Power Automate
Nice-to-have
- Project management certification (Agile, PRINCE2, PMP, or equivalent)
What we offer
- Competitive compensation and benefit package
- Great learning and development opportunities
- 3-4 days home office option
- Benefit package including cafeteria, mental and physical health care package, community bike ticket, and loyalty-based elements
- Modern, award-winning office with a view of the Danube
- Central location with excellent public transport
- Youthful and supportive work environment
- Additional holidays to compensate for Hungarian public holidays falling on a weekend
Company info
Cushman & Wakefield is a steadily growing, 100+ year-old international company.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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