Senior Data Analyst
On-siteWest Palm Beach, Florida, United States
Job Summary
Facilitate discovery sessions to understand business objectives and translate requirements into actionable functional specifications, user stories, and technical documentation. Lead the analytics factory workflow from intake through delivery, including backlog readiness, developer handoff, quality assurance, and user acceptance testing. Serve as the Microsoft Power BI subject matter expert to establish standards for dashboard design, semantic models, DAX, and deployment while evaluating AI-enabled analytics capabilities for productivity gains. Partner with cross-functional teams and offshore developers to validate outputs, support property acquisitions and COTS integrations, and ensure reporting solutions are scalable, secure, and aligned with enterprise architecture. Define business metrics, data lineage, and governance rules to improve consistency across analytical products.
Required Qualifications
- Bachelor degree
- 5+ years of progressive experience in data analytics, business intelligence, reporting, analytics engineering, business analysis, or related technology functions
- Advanced hands-on experience with Microsoft Power BI, including dashboard and report development, data modeling, semantic models, DAX, Power Query, performance optimization, and deployment practices
- Demonstrated experience eliciting, analyzing, documenting, and validating business requirements for data, reporting, dashboard, or analytics solutions
- Experience translating business requirements into detailed specifications, user stories, acceptance criteria, data definitions, mockups, and other artifacts that can be executed by remote development teams
- Strong understanding of BI delivery lifecycles, dimensional and analytical data modeling, metric definition, reporting standards, dashboard usability, and self-service analytics enablement
- Strong SQL skills and experience analyzing, validating, reconciling, and troubleshooting data across multiple source systems and enterprise data platforms
- Experience performing quality assurance and user acceptance testing for dashboards, reports, data products, integrations, or analytical solutions
- Experience partnering with cross-functional business stakeholders to clarify business questions, manage competing priorities, communicate trade-offs, and drive decisions to closure
- Ability to communicate effectively with both business and technical audiences and to convert ambiguous requests into structured, testable requirements
- Strong problem-solving, critical-thinking, documentation, facilitation, prioritization, stakeholder management, and project coordination skills
- Ability to work effectively with geographically distributed teams and to manage multiple initiatives in a fast-paced, evolving, multi-site organization
- High attention to detail with a strong commitment to data accuracy, metric consistency, documentation quality, and business outcomes
Desired Qualifications
- Experience in self-storage, retail, real estate, property operations, revenue management, marketing analytics, investment analytics, or another multi-site operating environment
- Experience supporting a distributed analytics delivery model, BI center of excellence, managed-service model, or other structured development factory
- Experience with Microsoft Fabric, Azure data services, data warehouses, data lakes, data marts, gateways, deployment pipelines, or related Microsoft analytics technologies
- Experience supporting property acquisitions, mergers, system conversions, data migrations, or post-acquisition integration activities
- Experience supporting COTS software implementations and integrations, particularly where data mapping, reporting, reconciliation, and downstream analytics are material to project success
- Experience using AI-enabled analytics tools such as Microsoft Copilot, Microsoft Fabric AI capabilities, Azure AI, or comparable platforms to accelerate data exploration, visualization, SQL/DAX development, documentation, and insight generation
- Working knowledge of generative AI concepts, prompt engineering, natural-language analytics, and techniques for validating AI-generated analysis for accuracy, bias, data privacy, security, and appropriate business use
- Experience incorporating governed AI capabilities into BI or analytics workflows, including self-service analytics, automated insight generation, or AI-assisted analyst and developer productivity
- Relevant Microsoft certifications, including Power BI Data Analyst Associate or equivalent analytics, data platform, cloud, Agile, or business analysis certifications
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