Data Analytics Manager

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 asA 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 theS&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 a Data Analytics Manager
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.
• 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.

• 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.
• Support cloud-based analytics platform adoption and implementation.
• Bring an understanding of and exposure to Google Cloud Platform (GCP), including Big Query, 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.

• 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.

• Directly present results & insights while being able to elaborate on data logic to executives and…