Hybrid Data Analyst — Revenue & Pricing Insights

Public Storage; Glendale (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

Public Storage is seeking a Data Analyst to transform raw data into actionable insights that support pricing strategies and revenue management. You will gather, validate, and implement analytical findings, delivering managerial reporting and trends to senior leadership.

The role requires a strong foundation in SQL, Excel, and data visualization, with the ability to communicate complex results clearly and collaborate with cross-functional teams to drive revenue performance.

Qualifications

• Bachelor’s degree in a quantitative field required.
• 2+ years of data analyst experience or equivalent educational background.
• Proficiency in SQL and Excel essential; experience with data visualization tools helpful.
• Strong problem-solving and communication skills; able to present insights clearly.
• Ability to work independently and with cross-functional teams.

Responsibilities

• Conduct in-depth analysis of large datasets to uncover patterns and variances.
• Apply data mining techniques to extract meaningful insights for pricing decisions.
• Build and maintain data models reflecting complex business processes.
• Create clear reports and presentations for stakeholders across teams.
• Collaborate with internal partners to deliver customized insights and governance.

Skills

SQL

Excel

Data analysis

Communication

Problem-solving

Teamwork

Education

Bachelor’s degree in Statistics, Computer Science, Economics, Business Analytics, or related field

Tools

Tableau

Power BI

Job description

Public Storage is seeking a Data Analyst to transform raw data into actionable insights that support pricing strategies and revenue management. You will gather, validate, and implement analytical findings, delivering managerial reporting and trends to senior leadership.

The role requires a strong foundation in SQL, Excel, and data visualization, with the ability to communicate complex results clearly and collaborate with cross-functional teams to drive revenue performance.