Manager, Data Analytics

Since opening our first self-storage facility in 1972, Public Storage has grown to become the largest owner and operator of self-storage facilities in the world. With thousands of locations across the U.S. and Europe, and more than 170 million net rentable square feet of real estate, we're also one of the largest landlords.

We've been recognized as A Great Place to Work by the Great Place to Work Institute. And, our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.

We're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade on the New York Stock Exchange.

Public Storage is the nation’s leading self-storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. We are expanding our creative team to enhance our consistent and engaging visual brand presence.

Public Storage is seeking aManager, 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.
 

Key Responsibilities

Financial Reporting & Data Infrastructure

• Develop and maintain Real Estate Finance BI reports and dashboards.
• Design and build Power BI dashboards from the ground up, including data modeling, report development, visualization design, and end-user reporting experiences.
• Ensure data accuracy and integrity through enhanced validation and reconciliation processes.
• Support ongoing analytics platform improvements and enterprise initiatives.
• Apply a strong understanding of financial statements, including the ability to read, interpret, and help build P&L models that support business performance analysis and reporting.

Advanced Analytics & Strategic Insights

• Develop advanced analytical models, including forecasting, variance analysis, and portfolio performance assessments, using Python, statistical methods, and Excel.
• 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.
• Translate financial and operational data into insights by leveraging a solid understanding of profit and loss drivers, budgeting logic, and financial modeling principles.

Technology & Platform Development

• Support cloud-based analytics platform adoption and implementation.
• Bring an understanding of and exposure to Google Cloud Platform (GCP), including BigQuery, to support scalable data workflows and modern analytics solutions.
• Develop production-grade solutions to support data infrastructure and analytics automation.
• Contribute to enterprise data governance framework and analytics standards.

Self-Service Analytics & Team Enablement

• Empower stakeholders to self-serve via various tools.
• Reduce ad-hoc report requests through proactive dashboard development and user enablement.
• Partner with Finance leadership to define KPIs and metrics framework for Real Estate portfolio performance tracking.
• Build reporting solutions that align financial metrics, portfolio performance indicators, and business planning needs.

Strategic Collaboration & Innovation

• 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 a related field
• 5+ years of progressive experience in data analytics, business intelligence, or financial analysis
• Strong experience withPower BI or similar BI platforms, including dashboard development, data modeling, and advanced formulas; experience building dashboards from the ground up is strongly preferred
• Experience withGoogle Cloud Platform (GCP) andBigQuery, including the ability to work with cloud-based analytics environments and modern data platforms
• Advanced proficiency inPython for data analysis, automation, and production-grade analytics solutions, along with expert-levelSQL skills for querying and data manipulation
• Strong understanding ofreal estate finance, financial reporting cycles, portfolio analysis, and P&L modeling, including the ability to read, interpret, and help build profit and loss models
• Experience with data warehouse architecture, data integration concepts, ETL processes, and data preparation tools
• Exceptional communication skills, with the ability to train and enable business users on self-service analytics
• Collaborative approach with the ability to partner effectively across Finance, IT, and business units
• Demonstrated ability towork independently in a fast-paced, frequently changing environment, with a proactive, accountable,“own it” attitude
• Strong critical thinking and problem-solving skills, with the ability to quickly learn new technologies and adapt to evolving business needs

All your information will be kept confidential according to EEO guidelines.