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For Companies At a Glance
- Tasks: Design and maintain dashboards, integrate data sources, 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 data tools mentioned in the job description, such as Power BI 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 integrating diverse data sources and building dashboards. Think of specific examples where you've successfully streamlined data processes or improved reporting efficiency, as these will resonate well with the hiring team.
✨Tip Number 4
Showcase your collaborative skills by preparing to discuss how you've worked with cross-functional teams in the past. Highlight any experiences where you engaged with stakeholders to align on reporting needs, as this role requires strong interdepartmental collaboration.
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 with 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 contributed to strategic planning.
Proofread Your Application: Before submitting, carefully proofread your application materials. Ensure there are no typos or grammatical errors, as attention to detail is crucial in data analytics roles.
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. Be prepared to discuss specific projects where you've used these tools to derive insights or create dashboards.
✨Demonstrate Collaboration Experience
Since the role involves working closely with various teams, share examples of how you've successfully collaborated with different departments in the past. Emphasise your ability to engage with stakeholders at all levels.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and analytical mindset. Prepare to discuss how you would approach designing a dashboard or integrating data from multiple sources, showcasing your thought process.
✨Understand the Company’s Data Journey
Research the company’s current data capabilities and their goals for bringing data in-house. Being knowledgeable about their strategic direction will demonstrate your genuine interest in the role and the organisation.
