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FIRM DESCRIPTION: 

Montgomery Street Partners ("MSP") is a diversified real estate private equity investment firm that invests across property types and geographies. MSP has acquired over $7.3 billion of real estate assets since inception. MSP’s primary investment strategy is to pursue programmatic GP Equity Co-Investments with established institutional-quality operator partners who operate within a well-defined real estate sector or theme. Additionally, MSP pursues strategic Entity and Platform Investments in real estate operating companies, as well as Limited Partner investments in individual real estate assets. Website: https://montgomerystreetpartners.com/

 

POSITION DESCRIPTION: 

MSP is seeking a Summer Data Analyst to join its investment team in Dallas, TX to support the team in monitoring and analyzing master data within the organization, creating and managing a data lake with its information, building the reporting that surfaces that data, and driving efficiencies through automation within the firm. The Summer Data Analyst leverages advanced analytics, statistical modeling, machine learning, and AI to solve complex business challenges and enable data-driven decision-making across the organization.

 

Working closely with cross-functional business partners, the Summer Data Analyst translates business questions into analytical solutions, delivering actionable insights that support strategic initiatives and operational decision-making.

 

RESPONSIBILITIES: 

  • Embed with business units - shadowing live workflows, engaging AI power users an champions, and developing functional fluency in how the business raises, services, and reports on capital
  • Assist in identifying new ways to maximize data usage and help develop new strategies to improve business performance
  • Gather and validate information, using judgment and statistical tests
  • Develop and maintain production software solutions, ensuring code quality, scalability, reliability, and security
  • Data Visualization & Analytics: Develop compelling dashboards and visualizations to deliver 
    insights and support decision-making
  • Ensure quality of master data in key systems, as well as development and documentation of 
    processes with other functional data owners to support ongoing maintenance and data integrity
  • Gain and maintain proficiency and expertise in relevant financial and accounting systems with 
    ability to ensure data alignment and consistency, review in detail, drive process changes, and 
    communicate to the different groups in the appropriate vernacular
     

QUALIFICATIONS: 

  • Solid working knowledge of statistical modeling, predictive analytics, regression, and core machine learning methods, with hands-on experience building models
  • Ability to manage and gather data across multiple systems and data sets
  • Advanced Excel skills, including the ability to quickly turn around ad hoc data requests, build clear analyses, and summarize results for business partners such as Asset Management and Operations
  • Intellectual curiosity towards learning business processes and implementing efficiencies
  • Strong communication, collaboration, and presentation skills with both technical and business audiences
  • Strong problem-solving skills and attention to detail
  • Self-starting, entrepreneurial attitude
  • A positive and professional attitude

TIME COMMITMENT: Full-time 10-week summer program

EXPECTED START DATE: Summer 2027 (June 1, 2027 – August 6, 2027)

COMPENSATION: Paid