Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Frisco, TX, United States
Actively hiring, first seen by us 12 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
**Sponsorship for Work Authorization is not available for this posting
Develop and maintain Real Estate Finance BI reports and dashboards.
Develop advanced analytical models, including forecasting, variance analysis, and portfolio performance assessments, using Python, statistical methods, and Excel.
Support cloud-based analytics platform adoption and implementation.
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.
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.
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.
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
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
Experience with data warehouse architecture, data integration concepts, ETL processes, and data preparation tools
Demonstrated ability to work independently in a fast-paced, frequently changing environment, with a proactive, accountable, “own it” attitude
Qualifications 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
Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 12
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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.
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
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
- 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.
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
- 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.
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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
Advanced Analytics & Strategic Insights
Technology & Platform Development
Self-Service Analytics & Team Enablement
Strategic Collaboration & Innovation
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
Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply.
**Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.**
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're 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're a member of the S&P 500 and FT Global 500. Our common and preferred stocks trade 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.
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Frisco, TX, United States
Working pattern and location restrictions need checking in the full posting.
Public Storage is an equal opportunity employer and embraces diversity. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected status. All qualified candidates are encouraged to apply. **Sponsorship for Work Authorization is not available for this posting. Candidates must be authorized to work in the U.S. without restrictions or requiring sponsorship now or in the future. We do not provide training plans or support for F-1 OPT, STEM OPT extensions, or future visa sponsorship.** Company Description