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 :

• Bachelors 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.

Remote Work :

No

Employment Type :

Full-time