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- Tasks: Join our Loan Asset Management team to analyze and present data for real estate loans.
- Company: Work with a global leader in Asset Management, specializing in commercial real estate.
- Benefits: Gain hands-on experience with industry tools and work in a dynamic, collaborative environment.
- Why this job: Perfect for data enthusiasts looking to make an impact in real estate finance.
- Qualifications: 2 years of experience in commercial real estate asset management and reporting tools required.
- Other info: Opportunity to develop predictive models and enhance your analytical skills.
The predicted salary is between 36000 - 60000 £ per year.
Analyst, Data Analytics, Asset Management My client is looking for a Data Analytics focussed, Analyst to join their Loan Asset Management team, working on-site for a global, leading Asset Manager. In this role, you will be supporting the Asset Management of a European, mixed Real Estate Loan portfolio. Position Overview: This role is responsible for providing analytical assistance to the Asset Management team who oversees a client’s portfolio of highly structured commercial real estate loans. This role will lead the creation and maintenance of various reports, analysis, presentations, data models, and analytical tools. Essential Job Functions: Works with internal stakeholders and clients to understand business needs and translate how technology can be applied for data collection, transformation, analysis, and presentation Analyzes, interprets, and presents data using industry relevant commercial real estate asset management software such as RealINSIGHT Skilled with Enterprise Business Intelligence tools such as Tableau or Power BI Builds data collection process, enriches existing in-house data, and creates predictive models using industry relevant software Supports daily reporting to ensure the reports are delivered within the SLA requirements applying reporting expertise to ensure the delivery and accuracy of reporting Coordinates with other stakeholders to resolve any issues related to report generation ensuring that all reports are created using efficient processes Responsible for the efficient, compliant, timely, and secure acquisition, integration, provision, and exchange of enterprise data Qualifications/ Requirements: 2 years of experience with commercial real estate asset management or servicing/special servicing systems such as RealINSIGHT, CAMs, Finance Active or equivalent preferred 2 years of experience with any reporting tool preferred such as Tableau, Pyramid or Power BI preferred Experience in Financial Services and Real Estate Finance highly preferred Comprehension of business processes Must be able to be able to explain technical concepts and procedures to non-technical users Ability to find solutions to business problems from data-driven insights Strong working knowledge of data management best practices and experience implementing and maintaining them Ability to define problems, collect data, establish facts, and to draw valid conclusions
Analyst - Data Analytics - Real Estate AssetManagement employer: Russell Tobin
Contact Detail:
Russell Tobin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst - Data Analytics - Real Estate AssetManagement
✨Tip Number 1
Familiarize yourself with the specific software mentioned in the job description, like RealINSIGHT and Tableau. Having hands-on experience or even completing online tutorials can give you a significant edge during the interview.
✨Tip Number 2
Network with professionals in the commercial real estate asset management field. Attend industry events or join relevant online forums to connect with people who can provide insights or even refer you to opportunities.
✨Tip Number 3
Prepare to discuss your previous experiences with data analysis and reporting tools. Be ready to share specific examples of how you've used these tools to solve business problems or improve processes.
✨Tip Number 4
Stay updated on the latest trends in data analytics and real estate finance. Being knowledgeable about current market conditions and technological advancements can help you stand out as a candidate.
We think you need these skills to ace Analyst - Data Analytics - Real Estate AssetManagement
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and qualifications required for the Analyst position in Data Analytics. Tailor your application to highlight relevant experiences.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with commercial real estate asset management and any specific tools mentioned, such as RealINSIGHT or Tableau. Provide concrete examples of how you've used these tools in past roles.
Showcase Analytical Skills: Demonstrate your analytical skills by including specific projects where you analyzed data, created reports, or developed predictive models. Use metrics to quantify your impact whenever possible.
Tailor Your Application: Customize your cover letter to reflect your understanding of the company's needs and how your background aligns with their goals. Mention your ability to communicate technical concepts to non-technical users, as this is crucial for the role.
How to prepare for a job interview at Russell Tobin
✨Understand the Role and Responsibilities
Make sure you have a clear understanding of the Analyst position and its responsibilities in Data Analytics and Asset Management. Familiarize yourself with the specific tools mentioned, like RealINSIGHT and Tableau, as well as the types of reports and analyses you will be expected to create.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data management and reporting tools. Highlight any projects where you've used Tableau or Power BI to create insightful reports, and be ready to explain how you approached data collection and analysis.
✨Communicate Clearly with Non-Technical Stakeholders
Since the role involves explaining technical concepts to non-technical users, practice articulating complex ideas in simple terms. Think of examples from your past experiences where you successfully communicated data insights to stakeholders.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific instances where you've identified business problems and used data-driven insights to propose solutions. This will showcase your analytical thinking and ability to apply data management best practices effectively.
