Property Data & Analytics Lead (12-Month Contract)

Property Data & Analytics Lead (12-Month Contract)

Temporary 44595 - 54505 £ / year (est.) On-site
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At a Glance

  • Tasks: Transform data into actionable insights and deliver impactful reporting.
  • Company: Vicinity, a leader in retail property management.
  • Benefits: 12-month contract with opportunities for professional growth.
  • Other info: Join a dynamic team focused on continuous improvement and innovation.
  • Why this job: Make a real difference in property operations through data analytics.
  • Qualifications: Experience in data analysis and business intelligence platforms.

The predicted salary is between 44595 - 54505 £ per year.

Vicinity is seeking a Retail Property Operations Analyst to transform data into actionable insights across Property Management and Operations Enablement.

The role acts as a BI platform SME, delivering self-service and managed reporting, and partnering with data quality and system configuration teams.

The 12-month contract role supports Databricks Genie, Portfolio performance insights, and continuous improvement in reporting and automation.

Property Data & Analytics Lead (12-Month Contract) employer: Vicinity Centres

At Vicinity, we are dedicated to creating a vibrant and inclusive workplace where our employees can thrive. As an Administration Manager at our Colonnades location, you will benefit from flexible working options, birthday leave, and a unique opportunity to earn VCX securities, all while contributing to a culture that values respect, integrity, and customer focus. Join us in shaping meaningful places for communities to connect, and take advantage of our commitment to employee growth and development in a supportive environment.

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Contact Details:

Vicinity Centres Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Property Data & Analytics Lead (12-Month Contract)

✨Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Vicinity Centres before they're even advertised!

✨Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

✨Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Vicinity Centres.

✨Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Vicinity Centres.

We think you need these skills to ace Property Data & Analytics Lead (12-Month Contract)

Data Analysis
Business Intelligence (BI)
Reporting Skills
Databricks Genie
Portfolio Performance Insights
Data Quality Management
System Configuration

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Vicinity Centres, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Vicinity Centres, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Vicinity Centres’s attention and show the tangible impact of your work.

How to prepare for a job interview at Vicinity Centres

✨Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Vicinity Centres.

✨Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

✨Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Vicinity Centres.

✨Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Vicinity Centres.