Data Analytics Manager

Public Storage•Frisco, TX

About The Position

Public Storage is seeking a Data Analytics Manager to lead analytics capabilities for its Real Estate Finance organization. The role will modernize financial reporting infrastructure, develop advanced analytical models, and build self-service analytics capabilities that give Finance teams timely, accurate insights for strategic decision-making. As an individual contributor in a management capacity, this position supports the organization’s evolving analytics and reporting capabilities. The manager will develop and maintain Real Estate Finance BI reports and dashboards, create Power BI solutions from data modeling through end-user reporting, and strengthen data validation and reconciliation. The role also develops forecasting, variance analysis, and portfolio performance models; presents executive-level insights and recommendations; supports cloud-based analytics and production-grade automation; contributes to data governance and analytics standards; and enables stakeholders to use self-service tools. The position works closely with Finance, IT, and business stakeholders and investigates emerging analytics opportunities, including AI/ML.

Requirements

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.
Experience working with LLMs to develop AI agents and/or using AI to develop Python tools for automating data analysis and production-grade business solutions.
Strong SQL and data modeling capabilities, including developing and governing foundational data assets for semantic layers and business intelligence solutions such as Power BI.
Ability to create trusted, reusable datasets that connect business requirements with reporting and decision-making needs.
Experience with Google Cloud Platform (GCP) and BigQuery, including 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 and ability to simplify complex data concepts while empowering business users in self-service analytics.
Ability to collaborate effectively across Finance, IT, and business units.
Ability to work independently in a fast-paced, frequently changing environment with a proactive and accountable approach.
Strong critical-thinking and problem-solving skills, with the ability to learn new technologies and adapt to changing business needs.
Must be authorized to work in the U.S. without restrictions or current or future sponsorship; sponsorship and support for F-1 OPT or STEM OPT extensions are not available.

Responsibilities

Develop and maintain Real Estate Finance BI reports and dashboards.
Design and build Power BI dashboards, including data modeling, report development, visualization design, and end-user reporting experiences.
Improve data accuracy and integrity through validation and reconciliation processes.
Support analytics platform improvements and enterprise initiatives.
Develop forecasting, variance analysis, and portfolio performance models using Python, statistical methods, and Excel.
Create executive-level dashboards to support portfolio strategy and investment decisions.
Deliver regular data-driven insights briefings and strategic recommendations to Real Estate Finance leadership.
Translate financial and operational data into insights using knowledge of profit and loss drivers, budgeting, and financial modeling.
Support adoption and implementation of cloud-based analytics platforms, including GCP and BigQuery.
Develop production-grade data infrastructure and analytics automation solutions.
Contribute to enterprise data governance frameworks and analytics standards.
Enable stakeholders to self-serve using analytics tools and reduce ad-hoc report requests through dashboards and user enablement.
Partner with Finance leadership to define KPIs and metrics for Real Estate portfolio performance tracking.
Build reporting solutions that align financial metrics, portfolio indicators, and business planning needs.
Present results and explain data logic to executives and stakeholders.
Partner with Finance, IT, and business stakeholders on strategic initiatives.
Participate in cross-functional knowledge-sharing and continuous improvement.
Investigate and evaluate emerging analytics opportunities, including AI/ML applications.