Senior Data Analytics Manager

Job Description
As a Senior Data Analytics Manager at Public Storage, you will aggregate and analyze data from multiple sources to provide comprehensive assessments to organizational leaders. Your role involves identifying and resolving data quality issues, creating business models, and using data visualization to communicate insights. You'll develop reporting metrics, dashboards, and analytics tools in collaboration with cross-functional teams, offering strategic insights to leadership and championing data-driven decision-making. With your expertise, you'll drive the creation of new data sources and maintain a high standard of quality and exceptional customer service.
KEY RESPONSIBILITIES
Acquire, organize and aggregate data from various sources to construct a full and accurate assessment to organizational leaders
Identifying data quality or data integrity issues and proposing actionable solutions.
Connect ideas into cohesive, well-grounded recommendations, using creative, structured, and analytical thinking and use data visualization to help communicate ideas.
Create data, business and operating models
Create reporting metrics, dashboards, and analytics to monitor, analyze,progress, and effectively deliver assessment and results to organizational leaders.
Partner with cross-functional teams to design and build analytics and reporting tools that are instrumental to constantly improving the business
Provide insights to the leadership team on impact of strategic initiatives on key metrics and help them track progress towards goals
Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available
Participate in evaluations and assessments designed to identify and define issues, review and analyze data, and evaluate/document best practices.
Maintain a culture of high-quality output and exceptional customer service:
effectively communicate at all levels, ensure that work gets done well and on time, respond effectively to unexpected obstacles and reallocate resources as necessary
Champion data-driven decision-making in your team and throughout the company, including coaching and mentoring others on best practices