Senior Data Analyst

Become the newest member of our exciting team at SROA Capital as we redefine self-storage!

At SROA, we offer a career and opportunity to grow. We strongly believe in growing our talent and promoting within. We are proud to be honored as one of the TOP WORKPLACES of South Florida by the Sun Sentinel three years in a row.

SROA Capital is a vertically integrated private equity real estate investment firm that has evolved into a global asset manager with a successful track record of providing risk adjusted returns to its partners through its focused strategy of investing in self-storage. SROA is headquartered in West Palm Beach, FL and has invested, redeveloped, and developed self storage across the risk spectrum in major and secondary markets across the United States under the brand Storage Rentals of America and the UK under the brand Kangaroo Self Storage with approximately 900 employees globally.

The Senior Data Analyst will be the company’s Microsoft Power BI subject matter expert, helping establish scalable reporting practices, semantic and metric consistency, dashboard standards, and effective self-service analytics. The role will combine hands-on analytical expertise with strong business analysis, documentation, quality assurance, and delivery management skills to improve the speed, consistency, and business value of analytics products. The role will also help evaluate and responsibly adopt AI-enabled analytics capabilities that improve data exploration, analyst productivity, insight generation, and self-service analytics while maintaining appropriate data security, governance, validation, and human oversight.

This position will partner closely with Technology leadership, operations, revenue management, marketing, finance, investment teams, data engineering, application teams, vendors, and other stakeholders. In addition to ongoing BI and reporting initiatives, the Senior Data Analyst will support property acquisitions, COTS product integrations, report rationalization, data migration activities, and other projects where data, reporting, and business process requirements must be clearly defined and validated.

Duties and Responsibilities

• Serve as the primary business-facing analyst for Data Intelligence initiatives, facilitating discovery sessions to understand business objectives, processes, reporting needs, pain points, and success measures
• Translate business requirements into clear, actionable functional requirements, user stories, acceptance criteria, data definitions, mockups, report specifications, and technical documentation suitable for distributed development teams
• Lead the analytics factory workflow from intake through delivery, including requirements clarification, prioritization, backlog readiness, developer handoff, status coordination, quality assurance, user acceptance testing, and business sign-off
• Serve as the Microsoft Power BI subject matter expert and establish standards and best practices for dashboard design, semantic models, data modeling, DAX, Power Query, performance, usability, security, deployment, and maintainability
• Partner with offshore BI developers and other delivery resources to answer questions, resolve ambiguity, review designs, validate output, and ensure delivered solutions meet documented business requirements and quality standards
• Support report rationalization by evaluating existing reports, dashboards, data sources, usage patterns, business value, duplication, retirement candidates, consolidation opportunities, and migration to a scalable Power BI-based reporting environment
• Support the ongoing development, maintenance, quality, adoption, and evolution of enterprise dashboards and other executive and operational reporting assets
• Define and document business metrics, calculations, dimensions, filters, hierarchies, and reporting logic to improve consistency and trust across dashboards and analytical products
• Perform hands-on analysis using Power BI, SQL, Excel, and related tools to investigate business questions, validate data, reconcile results, identify trends, and communicate actionable insights
• Evaluate and apply AI-enabled analytics capabilities—including Microsoft Copilot, Fabric AI capabilities, natural-language analytics, automated insight generation, and AI-assisted SQL/DAX development—to improve productivity and accelerate insight delivery while ensuring outputs are validated, secure, governed, and appropriate for business use
• Partner with data engineering, application teams, infrastructure, security, vendors, and business owners to ensure reporting and analytics solutions are reliable, scalable, secure, governed, and aligned with enterprise architecture
• Support property acquisition activities by assessing source-system data, reporting needs, KPI alignment, data mapping, conv