Data Operative (maternity cover)
Budapest, Hungary
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingEnter and update unstructured property data accurately and completely
Lead new database creation, setting collection criteria and quality standards
Define and track KPIs for data accuracy and completeness
Support cleansing and enhancement of datasets
Handle ad-hoc data and analysis requests from the business
From the employer’s posting
Enter and update unstructured property data in the system accurately and efficiently
Lead the creation of new databases independently, defining the collection criteria and quality standards
Define and set up of KPIs of data accuracy and completeness
Support the cleansing and enhancing of datasets to improve overall quality
Assist with ad-hoc data and analysis requests from the business
What you’ll bring
All qualificationsCore experience
- Fluent English
- Proven data management experience
- Strong Excel skills (formulas, pivot tables, data cleaning)
- Intermediate Power BI knowledge, including star schema modelling
- Quantitative degree or equivalent practical experience
Preferred experience
- Real estate industry knowledge
Qualification wording
Fluent in English
Proven experience in data management
strong Excel skills (e.g. formulas, pivot tables, data cleaning and organisation)
Intermediate knowledge of Power BI, including data modelling concepts such as star schema
Quantitative degree or equivalent practical experience
Real estate industry knowledge is a nice to have
Tools in this posting
- Excel
- Power BI
Source — Tool mentions in context
- Real estate industry knowledge is a nice to have. We're equally excited by candidates who bring genuine curiosity about the sector and a willingness to quickly get up to speed on property data, market terminology, and industry-specific concepts - Proficient in Microsoft Office, with strong Excel skills (e.g. formulas, pivot tables, data cleaning and organisation) - Proven experience in data management, this includes tasks such as collecting, entering, organising, validating, and maintaining data across systems, ensuring it remains accurate, consistent, and accessible for reporting and analysis
- Experience structuring and leading database creation projects independently — defining the process, setting data collection criteria, and gaining stakeholder sign-off - Intermediate knowledge of Power BI, including data modelling concepts such as star schema (fact and dimension tables) and relationships between tables - Strong communication skills for working with internal and external stakeholders
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 25, 2026 · 35 days ago
- Recorded sightings
- 58
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 18, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Title
Data Operative (maternity cover)Job Description Summary
As a Data Operative supporting our Living sector, your main responsibility will be to perform data entry activities of unstructured property data. You will ensure that the data is accurate, complete, and up to date. By doing this, you will allow the research and business teams to transform data into insightful, actionable intelligence that drives strategic decisions and fosters innovation across our operations. Positioned within the broader EMEA Business Development Services team, you will have the opportunity to work alongside a diverse group of professionals, including data research analyst, data scientists and automation experts, to streamline data processes and support analytics offerings.Job Description
Key Responsibilities:
Enter and update unstructured property data in the system accurately and efficiently, ensuring data is complete, accurate, and up-to-date
Lead the creation of new databases independently, defining the collection criteria and quality standards and securing stakeholder approval before proceeding
Define and set up of KPIs of data accuracy and completeness, from initial definition through to implementation, to enable ongoing performance tracking and reporting
Assist with ad-hoc data and analysis requests from the business
Collaborate with clients, internal stakeholders, and the EMEA Research Team to deliver market, client, and operational data requirements
Work closely with our Research teams to enable and support their reporting requirements & data needs
Work on key data focused projects at country and EMEA level to help deliver our data focused company objectives
Support the cleansing and enhancing of datasets to improve overall quality
Locate and define new process improvement opportunities, working independently and as part of a team to deliver on assigned KPIs and business goals
Liaise with business stakeholders, in particular the data science, business intelligence and research leads, to capture additional data and insight to augment analytical capabilities
Knowledge & Experience:
Fluent in English
Strong communication skills, acting as the go-to contact for Living Data across EMEA; comfortable engaging frequently with stakeholders at all levels, both internal and external, to keep teams aligned across markets.
Real estate industry knowledge is a nice to have. We're equally excited by candidates who bring genuine curiosity about the sector and a willingness to quickly get up to speed on property data, market terminology, and industry-specific concepts
Proficient in Microsoft Office, with strong Excel skills (e.g. formulas, pivot tables, data cleaning and organisation)
Proven experience in data management, this includes tasks such as collecting, entering, organising, validating, and maintaining data across systems, ensuring it remains accurate, consistent, and accessible for reporting and analysis
Experience structuring and leading database creation projects independently — defining the process, setting data collection criteria, and gaining stakeholder sign-off
Intermediate knowledge of Power BI, including data modelling concepts such as star schema (fact and dimension tables) and relationships between tables
Strong communication skills for working with internal and external stakeholders
Team player with the ability to work independently
Detail-oriented, organized, and focused
Reliable, able to meet deadlines, and prioritize tasks
Curious, proactive, and eager to learn
Quantitative degree or equivalent practical experience
What we can offer:
Competitive compensation and benefit package
4 days Home Office option
Great learning and development opportunities
Benefit package includes 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, excellent public transport
Youthful and supportive work environment
Additional holidays to compensate for Hungarian public holidays falling on a weekend
A steadily growing, 100+ year-old international company
Cushman & Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman & Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor’s attention once they have made contact.
INCO: “Cushman & Wakefield”
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Budapest, Hungary
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- Work authorization
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