Manager, Data Analytics

Public Storage•Plano, TX

18h•Onsite

About The Position

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.

Requirements

Bachelor's degree in Finance, Data Analytics, Computer Science, Statistics, or related field
6+ years of progressive experience in data analytics, business intelligence, or financial analysis
Python: Advanced proficiency for data analysis, automation, and production-grade analytics solutions.
SQL: Expert-level querying and data manipulation skills.
Business Intelligence Tools: Strong experience with modern BI platforms (e.g., Power BI, Tableau, Looker) including dashboard development, data modeling, and advanced formulas.
Data Transformation: Proficient in ETL processes and data preparation tools.
Cloud Platforms: Experience accessing and interacting with cloud-based analytics platforms
Strong critical thinking and problem-solving abilities with demonstrated ability to learn new technologies quickly
Deep understanding of real estate finance, financial reporting cycles, and portfolio analysis
Experience with data warehouse architecture and data integration concepts
Exceptional communication skills with ability to train and enable business users on self-service analytics
Collaborative approach with ability to partner across Finance, IT, and business units

Nice To Haves

Prior experience within a REIT or Storage environment highly desired

Responsibilities

Develop and maintain Real Estate Finance BI reports and dashboards
Ensure data accuracy and integrity through enhanced validation and reconciliation processes
Support ongoing analytics platform improvements and enterprise initiatives
Develop advanced analytical models (forecasting, variance analysis, portfolio performance) using Python and statistical methods
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
Support cloud-based analytics platform adoption and implementation
Develop production-grade solutions to support data infrastructure and analytics automation
Contribute to enterprise data governance framework and analytics standards
Empower stakeholders to self-serve via various tools
Reduce ad-hoc report request through proactive dashboard development and user enablement
Partner with Finance leadership to define KPIs and metrics framework for Real Estate portfolio performance tracking
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