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For Companies At a Glance
- Tasks: Design and maintain dashboards, manage data inputs, and deliver insights for strategic planning.
- Company: Join a UK-based real estate investment trust focused on essential-led retail and community impact.
- Benefits: Enjoy a hybrid work model with 3 days in the office and opportunities for professional growth.
- Why this job: Be part of a pivotal data journey, making a real impact on decision-making and strategy.
- Qualifications: 7-10 years in data analysis; proficiency in Power BI, Tableau, SQL; strong analytical skills required.
- Other info: Collaborate across departments to streamline data processes and enhance reporting capabilities.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
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
Familiarise yourself with the specific tools mentioned in the job description, such as Power BI, Tableau, and SQL. Consider taking online courses or tutorials to enhance your skills in these areas, as demonstrating proficiency can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the real estate investment sector, especially those who work with data analytics. Attend industry events or join relevant online forums to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss your experience with data integration and dashboard design during interviews. Have specific examples ready that showcase your ability to streamline data processes and deliver actionable insights, as this aligns closely with the role's responsibilities.
✨Tip Number 4
Research the company’s current data practices and any recent projects they’ve undertaken. This knowledge will not only help you tailor your responses in interviews but also demonstrate your genuine interest in contributing to their data journey.
We think you need these skills to ace Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, business intelligence, and reporting. Emphasise your proficiency in tools like Power BI, Tableau, and SQL, as well as any familiarity with platforms such as Yardi.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills align with their needs, particularly in designing dashboards and collaborating across departments to streamline data processes.
Showcase Your Analytical Skills: Provide specific examples of how you've turned raw data into meaningful insights in previous roles. Highlight any projects where you designed dashboards or improved reporting processes, as this will resonate with the company's focus on data capabilities.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analytics Manager.
How to prepare for a job interview at Madison Hive
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in tools like Power BI, Tableau, and SQL during the interview. Prepare examples of how you've used these tools to create dashboards or reports that have driven decision-making in previous roles.
✨Demonstrate Collaboration Experience
Since the role requires working closely with various teams, be ready to discuss past experiences where you collaborated with different departments. Share specific examples of how you aligned reporting needs and streamlined data processes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to turn raw data into actionable insights or simplify complex information for non-technical audiences, and be prepared to explain your thought process.
✨Understand the Company’s Data Journey
Research the company’s current data capabilities and their move towards in-house data management. Being knowledgeable about their goals will allow you to tailor your responses and demonstrate your enthusiasm for contributing to their data strategy.
