Data Analytics Manager

Company Description

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.

Job Description

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. 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

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

Qualifications

Bachelor’s degree in Finance, Data Analytics, Computer Science, Statistics, or a related field 7+ years of progressive experience in data analytics, business intelligence, or financial analysis Have worked with LLMs to develop AI Agents and/or leveraged AI to develop Python tools to automate data analysis, and production-grade business solutions Strong SQL and data modeling capabilities, including the ability to develop and govern the foundational data assets that support semantic layers, and business intelligence solutions such as Power BI. Must be able to create trusted, reusable datasets that bridge business requirements with reporting and decision-making needs Experience with Google Cloud Platform (GCP) and BigQuery, including the ability to work with cloud-based analytics environments and modern data platforms In depth understanding of financial reporting cycles, portfolio analysis, P&L modeling, and industry knowledge, 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 which will be a key component of simplifying complex data concepts while empowering business users on self-service analytics Collaborative approach with the ability to partner effectively across Finance, IT, and business units Demonstrated ability to work 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

Additional Information

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 restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.