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Manager, Data Analytics

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Public Storage Inc.
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Since opening our first self‑storage facility in 1972,
Public Storage has grown to become the largest owner and operator of self‑storage facilities in the world. With thousands of locations across the U.S. and Europe and more than 170 million net rentable square feet of real estate, we are also one of the largest landlords.

We’ve been recognized as A Great Place to Work by the Great Place to Work Institute, and our employees have also voted us as having Best Career Growth, ranked us in the Top 5% for Work Culture, and in the Top 10% for Diversity and Inclusion.

We are a member of the S&P 500 and FT Global 500, with our common and preferred stocks trading on the New York Stock Exchange.

Public Storage is the nation’s leading self‑storage provider, recognized for its iconic orange doors and commitment to delivering simple, reliable solutions to millions of customers across the country. We are expanding our creative team to enhance our consistent and engaging visual brand presence.

Job Description

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
  • Ensure data accuracy and integrity through enhanced validation and reconciliation processes
  • Support ongoing analytics platform improvements and enterprise initiatives
Advanced Analytics & Strategic Insights
  • 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
Technology & Platform Development
  • 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
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
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
  • 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
  • Prior experience within a REIT or Storage environment highly desired
  • Advanced proficiency in Python for data analysis, automation, and production‑grade analytics solutions
  • Expert‑level SQL querying and data manipulation skills
  • Strong experience with modern BI platforms (Power BI, Tableau, Looker) including dashboard development, data modeling, and advanced formulas
  • Proficiency in ETL processes and data preparation tools
  • 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…
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