Property Data Manager | Hybrid | Data Quality & Insights

Property Data Manager | Hybrid | Data Quality & Insights

Full-Time 37800 - 46200 £ / year (est.) Home office (partial)
KMK Recruitment

At a Glance

  • Tasks: Manage and enhance property data for a global retail group.
  • Company: Join a leading global retail group with a focus on property asset management.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Lead a team and thrive in a dynamic, collaborative environment.
  • Why this job: Make a real impact by ensuring data accuracy and supporting finance processes.
  • Qualifications: Strong data analysis, governance, and Excel skills required.

The predicted salary is between 37800 - 46200 £ per year.

KMK Recruitment is seeking a Property Data Manager for a global Retail group within its Property Asset Management team.

The role focuses on managing and improving property data across a large portfolio, ensuring governance and accuracy, and supporting property and finance processes.

Line management of an Administrator is included.

The role requires strong data analysis, governance, and Excel skills, with experience in data quality and collaboration with Finance.

#J-18808-Ljbffr

Property Data Manager | Hybrid | Data Quality & Insights 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.

KMK Recruitment

Contact Details:

KMK Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Property Data Manager | Hybrid | Data Quality & Insights

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like KMK Recruitment!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Property Data Manager | Hybrid | Data Quality & Insights at KMK Recruitment.

Leverage Professional Networks

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.

Apply Directly through Our Website

When you find a suitable opening like Property Data Manager | Hybrid | Data Quality & Insights at KMK Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Property Data Manager | Hybrid | Data Quality & Insights

Data Analysis
Data Governance
Excel Skills
Data Quality Management
Collaboration with Finance
Line Management
Attention to Detail

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

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.