Manager, Data Analytics

Job Description

Public Storage is seeking a Manager, Data Analytics to lead analytics capabilities for our Real Estate Finance organization. This role will drive the modernization of our financial reporting infrastructure, develop advanced analytical models, and build self-service analytics capabilities that empower Finance teams with timely, accurate insights for strategic decision-making.

As a key individual contributor in a management capacity, this position will play a critical role in supporting our evolving analytics and reporting capabilities.

• Develop and maintain Real Estate Finance BI reports and dashboards
• Ensure data accuracy and integrity through enhanced validation and reconciliation processes
• Support ongoing analytics platform improvements and enterprise initiatives

• Develop advanced analytical models (forecasting, variance analysis, portfolio performance) using Python and statistical methods
• Create executive-level dashboards that surface actionable insights for portfolio strategy and investment decisions
• Deliver regular insights briefings to Real Estate Finance leadership with data-driven strategic recommendations
• Maintain high stakeholder satisfaction with quality and timeliness of analytics deliverables

• Support cloud-based analytics platform adoption and implementation
• Develop production-grade solutions to support data infrastructure and analytics automation
• Contribute to enterprise data governance framework and analytics standards

• Empower stakeholders to self-serve via various tools
• Reduce ad-hoc report request through proactive dashboard development and user enablement
• Partner with Finance leadership to define KPIs and metrics framework for Real Estate portfolio performance tracking

• Partner closely with Finance, IT, and business stakeholders on strategic initiatives
• Participate in cross-functional knowledge-sharing and continuous improvement efforts
• Investigate and evaluate emerging analytics opportunities including AI/ML applications

• Bachelor's degree in Finance, Data Analytics, Computer Science, Statistics, or related field
• 6+ years of progressive experience in data analytics, business intelligence, or financial analysis
• Prior experience within a REIT or Storage environment highly desired
• Python:
  Advanced proficiency for data analysis, automation, and production-grade analytics solutions. SQL:
  Expert-level querying and data manipulation skills. Business Intelligence Tools:
  Strong experience with modern BI platforms (e.g., Power BI, Tableau, Looker) including dashboard development, data modeling, and advanced formulas. Data Transformation:
  Proficient in ETL processes and data preparation tools. Cloud Platforms:
  Experience accessing and interacting with cloud-based analytics platforms
• Strong critical thinking and problem-solving abilities with demonstrated ability to learn new technologies quickly
• Deep understanding of real estate finance, financial reporting cycles, and portfolio analysis
• Experience with data warehouse architecture and data integration concepts
• Exceptional communication skills with ability to train and enable business users on self-service analytics
• Collaborative approach with ability to partner across Finance, IT, and business units

• One of our values pillars is to work as One Team and we believe that there is no replacement for in-person collaboration but understand the value of some flexibility. Public Storage teammates are expected to work in the office five days each week with the option to take up to three flexible remote days per month.

Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.

Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without requiring sponsorship now or in the future.