Property Data Analyst

Company:  Lidl
Location: London
Closing Date: 26/10/2024
Salary: £49,500 - £66,000 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description
Property Data Analyst

Summary

£49,500 - £66,000 per annum 35 days' holiday (pro rata) 10% in-store discount Pension scheme

Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. We're curious, collaborative, and ready to make a tangible impact on where we work.

Just like you.

Our Head Office Property Department is strengthening their team and is looking for an enthusiastic, highly motivated and analytical person, determined to build a career in a challenging international environment, to join the Property Data & Analysis Team as a Consultant. You can help turn our expansion plans into reality!

You will join a fast-paced team at the forefront of our company's ambitious development & portfolio management plans, in a position which offers both responsibility and variety. You'll have the potential to create a long-lasting impact across the business, building & implementing the infrastructure for efficient real-time reporting & analysis to influence key strategic decision making.

If you're ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now.

Please note as per Lidl internal structures your job title will be Consultant

What you'll do

• Working at a national strategic level to drive forward our expansion & portfolio management plans
• Regular and Ad Hoc reporting on Strategy, Profitability, ROIs, Turnover, Competitors etc
• Creating property-specific data analysis and presentations for UK & International Boards
• Power BI dashboard development and GIS (Geographical Information System) analysis
• Providing quality assurance for all our in-house property systems, as well as bug-fixing, testing & managing system roll-outs
• Providing training & support to Regional Property Offices on systems & procedures
• Being the main contact anchor between Lidl International, Head Office, Regional Property Offices and other Lidl departments (regular liaison with all parties & levels)
• Data plausibility checks (investigating quality & accuracy) and pursuing queries with Lidl International and Regional Property Offices
• Building tools to support and streamline across the entire Property department
• Understanding the company's 'bigger picture' and the property role within the organisation as a whole

What you'll need

• Degree educated (2:2) in any discipline
• Knowledge of the German language beneficial but not essential
• Passion for working with numbers, data analysis tools and excellent attention to detail
• Excellent communication skills at all levels of the business
• Confident in supporting executive management
• A self-motivated and proactive individual with a can-do attitude, and the ability to work on projects and solve problems independently
• Ability to work autonomously, and also as part of a team, to tight deadlines while delivering accurate results
• Good Microsoft Office skills (particularly Excel)
• Previous retail/property experience beneficial but not essential
• Previous experience in Power BI & GIS is desirable

What you'll receive

  • 35 days holiday (pro rata)
  • 10% in-store discount
  • Sabbatical
  • Enhanced family leave
  • Pension scheme
  • Plus, more of the perks you deserve


includes 10% non-contractual London Weighting allowance

Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment

You're Lidl like us. We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment
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