Manager, Data Analytics

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.

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

Qualifications

• 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 with Power BI or similar BI platforms, including dashboard development, data modeling, and advanced formulas; experience building dashboards from the ground up is strongly preferred
• Experience with Google Cloud Platform (GCP) and BigQuery, including the ability to work with cloud-based analytics environments and modern data platforms
• Advanced proficiency in Python for data analysis, automation, and production-grade analytics solutions, along with expert-level SQL skills for querying and data manipulation
• Strong understanding of real 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 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

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