At a Glance
- Tasks: Manage and improve property data across a large portfolio while ensuring accuracy and compliance.
- Company: Dynamic Global Retail group with a focus on property asset management.
- Benefits: Competitive salary, hybrid working, and career development opportunities.
- Other info: Collaborative environment with exposure to senior stakeholders.
- Why this job: Join a critical team and make an impact on property data management.
- Qualifications: Experience in data management, strong analytical skills, and proficiency in Microsoft Excel.
The predicted salary is between 50000 - 60000 £ per year.
Property Data Manager
Salary
£50,000 - £60,000
Location
Hybrid working (4 days office-based, 1 day from home)
Reporting to
Head of Property Asset Management
Initial 9 month contract - potential to go permanent.
About the Role
We are seeking an experienced and detail-oriented
Property Data Manager to join a dynamic Global Retail group within their Property Asset Management team.
This is an excellent opportunity for a data-focused professional to play a key role in managing, maintaining and improving property data across a large and complex property portfolio.
The successful candidate will act as the central point of contact for property data, ensuring accuracy, compliance, and governance standards are maintained while supporting business-critical property and finance processes.
You will also line manage an Administrator .
Key Responsibilities
- Manage and maintain property data systems, ensuring data accuracy, completeness and integrity.
- Act as the primary contact for property-related data requests across the business.
- Support compliance with IFRS16 accounting requirements and property reporting standards.
- Process and monitor property approvals and data updates in a timely manner.
- Maintain property documentation, records and audit trails.
- Produce regular property reports and management information for senior stakeholders.
- Work closely with Finance and Property teams to ensure data consistency and alignment.
- Investigate, resolve and escalate data quality issues where required.
- Conduct periodic data audits and cleansing exercises.
- Support the development and implementation of data governance frameworks, policies and procedures.
- Build strong relationships with landlords, internal stakeholders and external partners to ensure accurate property information is maintained throughout the property lifecycle.
- Deliver data quality reporting and insights to support business decision-making.
About You
To be successful in this role, you will have
- Experience managing and analysing large volumes of data, ideally within a property, real estate or asset management environment.
- Strong understanding of data governance, data quality and data management principles.
- Excellent analytical skills and attention to detail.
- Advanced Microsoft Excel skills and proficiency across Microsoft Office applications.
- Outstanding organisational skills with the ability to manage multiple priorities simultaneously.
- Strong communication and stakeholder management skills.
- Experience working closely with Finance teams and understanding of accounting-related data requirements.
- The ability to identify process improvements and drive data quality enhancements.
What's on Offer?
- Competitive salary of
- £50,000 - £60,000
- Hybrid working arrangement (4 days in the office, 1 day from home)
- Opportunity to work within a highly visible and business-critical property function
- Exposure to senior stakeholders across Property and Finance
- Supportive and collaborative working environment
- Career development opportunities within a growing organisation
If you are a highly organised data professional with a passion for accuracy, governance, and process improvement, we'd love to hear from you.
Data Manager in City of London employer: KMK Recruitment
As an Executive Assistant to the Chief Financial Officer, you will thrive in a dynamic and supportive work environment that values your contributions and fosters professional growth. Our company offers competitive salaries, comprehensive benefits, and a culture of collaboration where your skills are recognised and developed. Located in a vibrant area, we provide unique opportunities for networking and career advancement, making us an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Manager in City of London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like KMK Recruitment.
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We think you need these skills to ace Data Manager in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at KMK Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at KMK Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at KMK Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at KMK Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.