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For Companies At a Glance
- Tasks: Design and maintain dashboards, integrate data sources, and deliver impactful insights.
- Company: A UK-based real estate investment trust focused on essential-led retail.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join a pivotal data journey and make a real impact on strategic decisions.
- Qualifications: 7-10 years in data analysis with skills in Power BI, Tableau, or SQL.
- Other info: Collaborative environment with a focus on innovation and scalability.
The predicted salary is between 36000 - 60000 £ per year.
Location: London (3 Days in the office)
Job Type: Full Time
Company Overview
Operating quietly at the intersection of community and commerce, this UK-based real estate investment trust specialises in essential-led retail that remains relevant through changing market cycles. Focused on underappreciated assets in resilient locations, the company balances disciplined asset management with a deep understanding of local needs. It offers employees the chance to work behind the scenes on places that genuinely matter.
Role Summary
We are looking for a proactive and technically capable Data & Reporting Analyst to join the Strategy & Investment team at a pivotal moment in the company's data journey. This newly created role is part of a broader move to bring data capabilities in-house, reducing reliance on external consultancies and building a centralised, scalable reporting infrastructure. You will work across departments to design dashboards, integrate diverse data sources, and deliver insights that drive both day-to-day decisions and long-term strategic planning.
Key Responsibilities
- Design, build, and maintain dashboards across capex, asset performance, credit risk, and strategic KPIs.
- Standardise and manage data inputs from systems such as Yardi, OnePower, and other internal platforms into a central data lake.
- Produce structured outputs and data matrices used for Board reports, investor updates, and ExCo presentations.
Collaboration & Integration
- Work closely with the Finance, Asset Management, and Strategy teams to define and align reporting needs.
- Collaborate with internal stakeholders to streamline data pipelines and eliminate information silos.
- Partner with IT to ensure data solutions are secure, scalable, and future-ready.
Platform & Accessibility
- Contribute to the design of an internal portal that brings together financial, operational, and site-specific data in one accessible location.
- Make complex information intuitive and usable for both technical and non-technical audiences.
What You Will Bring
- 7-10 years' experience in data analysis, business intelligence, or reporting.
- Proficiency in Power BI, Tableau, SQL, or similar tools.
- Familiarity with enterprise platforms such as Yardi is highly desirable.
- Strong analytical mindset with the ability to turn raw data into meaningful insights.
- A collaborative approach and confidence engaging with stakeholders across departments and seniority levels.
- A mindset geared toward simplification, standardisation, and long-term scalability.
Data Analytics Manager employer: Madison Hive
Contact Detail:
Madison Hive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data skills. Use real-life examples from your experience to demonstrate how you've turned raw data into actionable insights.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role. Research the company’s values and projects, and show how your skills align with their needs. We want to see that you’re genuinely interested!
✨Tip Number 4
Keep an eye on our website for the latest job openings. Applying directly through us not only shows your enthusiasm but also gives you a better chance of standing out in the crowd!
We think you need these skills to ace Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analytics Manager role. Highlight your experience with data analysis, business intelligence tools like Power BI or Tableau, and any relevant projects that showcase your skills in turning raw data into insights.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background aligns with the company's mission. Don’t forget to mention your collaborative approach and how you can contribute to the team.
Showcase Your Technical Skills: Since this role requires technical capabilities, be sure to list your proficiency in SQL and any experience with platforms like Yardi. If you've designed dashboards or worked on data integration projects, make those stand out!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Madison Hive
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in Power BI, Tableau, and SQL. Be ready to discuss specific projects where you've used these tools to create dashboards or reports. This will show your technical capability and how you can contribute to the company's data journey.
✨Understand the Company’s Focus
Research the company’s approach to essential-led retail and their asset management strategies. Being able to discuss how your skills align with their mission will demonstrate your genuine interest and help you stand out as a candidate who understands their needs.
✨Prepare for Collaboration Questions
Since the role involves working closely with various teams, think of examples that showcase your collaborative spirit. Prepare to share experiences where you’ve successfully partnered with finance, asset management, or IT to achieve a common goal.
✨Simplify Complex Concepts
Practice explaining complex data insights in a way that’s easy to understand for non-technical audiences. This skill is crucial for the role, so be ready to demonstrate how you can make data accessible and actionable for all stakeholders.
