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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 work environment, 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, proficiency in Power BI, Tableau, or SQL.
- Other info: Collaborative culture with a focus on innovation and scalability.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: Data Analytics Manager
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’re 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’ll 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
Data & Reporting
- 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’ll 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 with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your data skills. Think about how you can demonstrate your experience with tools like Power BI or SQL. We want to see how you can turn raw data into insights that matter!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for the latest job openings! We’re always looking for talented individuals to join our team. Applying directly through our site can sometimes give you an edge, as we love seeing candidates who are proactive.
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 proficiency in data tools, make sure to list your technical skills clearly. If you've worked with Yardi or similar platforms, mention that too! We want to see how you can bring value to our data journey.
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 out on any important updates from us!
How to prepare for a job interview at Madison Hive
✨Know Your Data Tools
Make sure you brush up on your skills with 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 that you not only understand the technical side but can also apply it effectively.
✨Understand the Company’s Focus
Research the company’s approach to real estate investment and their emphasis on community and commerce. Being able to articulate how your data insights can support their mission will demonstrate your alignment with their goals and your proactive mindset.
✨Prepare for Collaboration Questions
Since this role involves working closely with various teams, think of examples where you've successfully collaborated across departments. Highlight your communication skills and how you’ve streamlined processes or eliminated silos in past roles.
✨Simplify Complex Concepts
Practice explaining complex data insights in a way that’s easy to understand for non-technical audiences. You might be asked to demonstrate this during the interview, so having a few examples ready will help you shine.
