Analyst - Data Analytics - Real Estate Asset Management

Job Description

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 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
• 2 years of experience with any reporting tool such as Tableau, Pyramid or Power BI
• Experience in Financial Services and Real Estate Finance highly
• 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