Data Analytics Manager

Saved 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.

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