PublicStorage
Data Analytics Manager
Leads analytics for Public Storage's Real Estate Finance team: builds Power BI dashboards and financial reporting infrastructure, develops forecasting and P&L models in Python and SQL on Google Cloud Platform (BigQuery), and enables self-service analytics for Finance stakeholders.
- Compensation
- Not disclosed
- Location
- Frisco, TX, us
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Finance, Data Analytics, Computer Science, Statistics, or 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 leveraging AI to build Python tools automating data analysis and production-grade solutions
- Strong SQL and data modeling capabilities, including developing and governing foundational data assets for semantic layers and Power BI
- Experience with Google Cloud Platform (GCP) and BigQuery
- In-depth understanding of financial reporting cycles, portfolio analysis, P&L modeling, and industry knowledge
- Experience with data warehouse architecture, data integration concepts, ETL processes, and data preparation tools
- Exceptional communication skills to simplify complex data concepts and empower self-service analytics
- Collaborative approach partnering across Finance, IT, and business units
- Ability to work independently in a fast-paced, changing environment with a proactive, accountable attitude
- Strong critical thinking and problem-solving skills with ability to quickly learn new technologies
- Must be authorized to work in the U.S. without restrictions or sponsorship now or in the future (no F-1 OPT/STEM OPT support)
Full 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 ResponsibilitiesFinancial 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.