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The Community Preservation Corporation

Senior Data & Analytics Specialist – Commercial Real Estate

The Community Preservation Corporation

Senior Data & Analytics Specialist refining data strategy and reporting for CSP, focusing on commercial real estate analytics and collaboration with business leaders.

Posted 6/15/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $100,000 - $115,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Develop a comprehensive understanding of CSP workflows, data architecture, key performance indicators (KPIs) and NYC open data sources.
  • Partner with business units to assess evolving data, technology, and reporting needs. Identify process gaps, inconsistencies, and inefficiencies.
  • Partner with CPC Technology to improve CSP data architecture and strategies in alignment with other CPC Technology initiatives.
  • Monitor and help refine CSP’s end‑to‑end data architecture and strategy, including data collection, validation and reporting.
  • Design and deliver routine executive, management and operational reports.
  • Analyze real estate pro formas, financial data, portfolio trends and performance drivers to support transaction and portfolio level decision-making; communicate insights clearly to stakeholders.
  • Conduct ad hoc analyses to support strategic, operational, regulatory, and partner-driven requests.
  • Operationalize new data and technology solutions within business units, through creation of standard operating procedures and staff training.
  • Serve as a primary liaison between CSP business units and CPC Technology, translating business needs into clear technical and analytical requirements.
  • Partner with CPC Technology to support system integration and reporting infrastructure enhancements.
  • Coordinate with third-party data providers and external consultants to support analytical and reporting initiatives.

Requirements

What you’ll need
  • Master’s degree in Real Estate Finance, Business, Economics, or a related discipline preferred.
  • Minimum of 5 years of experience in real estate analytics, data management, or a data analyst role, with demonstrated experience preparing real estate finance and analytical reports.
  • Strong understanding of commercial real estate terminology, proformas and metrics preferred. Familiarity with NYC market, regulatory framework and public data is a plus.
  • Superior written and verbal communication skills, with the ability to lead collaboration across diverse business units and stakeholders.
  • Excellent project management and organizational skills, including the ability to manage multiple priorities and communicate effectively across levels of leadership.
  • Highly self‑motivated, with the ability to work independently as a resourceful problem-solver.
  • Advanced proficiency in Microsoft Excel and data visualization tools (e.g., Tableau, Power BI) required.
  • Experience with programming languages (e.g., SQL, Python, R) strongly preferred.
  • Familiarity with machine learning and data‑mining techniques is a plus.

Benefits

Comp & perks
  • Competitive compensation
  • 401(k) retirement plans with employer match
  • Medical, dental, and vision benefits for employees and their dependents
  • Commuter benefits
  • PTO for vacation, personal days, sick leave, holidays, jury duty, bereavement, parental leave, and disability
  • Tuition assistance program
  • Two “work from anywhere” weeks per year
  • Summer Fridays
  • Collaborative working spaces
  • Service days to support our communities
  • Employee development and engagement events

ATS Keywords

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Hard Skills & Tools
data architecturedata managementreal estate analyticsfinancial analysisdata visualizationSQLPythonRmachine learningdata mining
Soft Skills
communication skillsproject managementorganizational skillsproblem-solvingcollaborationindependenceleadershipanalytical skillsattention to detailresourcefulness
Certifications
Master’s degree in Real Estate FinanceMaster’s degree in BusinessMaster’s degree in Economics