Senior Real Estate & Facilities Data Analyst

Assurant

. Collect, cleanse, reconcile, validate, manipulate, and analyze structured and unstructured data from multiple internal and external systems .

Posted 9/18/2026full-timeRemote • United StatesSenior💰 $74,600 - $124,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, business intelligence, and data governance, with a strong focus on developing dashboards, visualizations, and actionable business recommendations. Proficient in advanced Excel, Power BI, and AI tools to support corporate real estate strategies and optimize portfolio performance.

Highest-signal resume keywords

Data AnalyticsBusiness IntelligenceAdvanced Excel ProficiencyPower BI Dashboard DevelopmentData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleansingData ValidationData ManipulationKPI DevelopmentScenario AnalysisData Quality MonitoringSQLPythonDAXData Warehousing

Soft Skills

Analytical SkillsProject ManagementProblem-SolvingCommunication SkillsCollaboration

Tools & Technologies

Power BITableauMicrosoft Power PlatformIntegrated Workplace Management SystemsLease-Administration Platforms

Certifications & Qualifications

Analytics CertificationData Governance CertificationArtificial Intelligence CertificationProject Management Certification

Industry Keywords

Corporate Real EstateFacilities ManagementOccupancy PlanningCapital ProjectsFinancial Modeling

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Collect, cleanse, reconcile, validate, manipulate, and analyze structured and unstructured data from multiple internal and external systems
Maintain data standards, definitions, ownership, validation procedures, business rules, quality controls, and documentation across Corporate Real Estate data sources
Monitor data quality, identify discrepancies and root causes, and coordinate remediation with internal teams and external service providers
Analyze occupancy cost, utilization, lease activity, facilities operations, capital projects, sustainability, workplace experience, employee work arrangements, and portfolio risk
Develop KPIs, benchmarks, forecasts, trends, scenario models, and ad hoc analyses supporting portfolio optimization, site consolidation, workplace strategy, lease decisions, and capital investment
Build, manage, and enhance centralized dashboards, scorecards, reporting tools, and analytical platforms for site-level and consolidated portfolio reporting
Translate business requirements into scalable data, reporting, visualization, and technology solutions using advanced Excel and business-intelligence tools
Automate recurring data collection, validation, analysis, and reporting
Support system integrations, data pipelines, interfaces, data warehousing, APIs, and connections between source systems and reporting platforms
Maintain recurring Real Estate & Facilities metrics, balanced scorecards, capital budgeting, fixed-asset reporting, and operational reporting
Serve as a Corporate Real Estate resource for artificial intelligence, generative AI, intelligent automation, and emerging analytical technologies
Identify, prioritize, test, and implement practical AI use cases for document analysis, lease abstraction, portfolio research, forecasting, data-quality monitoring, executive reporting, and employee-service delivery
Partner with Technology, Information Security, Legal, Risk, and Data Governance teams to support responsible and policy-compliant AI adoption
Develop user guidance, demonstrations, training materials, and adoption support
Convert complex data and analysis into business recommendations, dashboards, scorecards, business cases, and executive presentations
Communicate portfolio performance, risks, trends, opportunities, business impact, and recommended actions through data visualization and storytelling
Tailor reporting for executive, operational, financial, and technical audiences and support annual planning, quarterly reviews, leadership meetings, and strategic initiatives
Partner with Real Estate, Facilities, Finance, Procurement, Human Resources, Technology, Risk, Sustainability, Security, and regional teams to define business questions, reporting requirements, and priorities
Coordinate cross-functional analytics and technology initiatives, including plans, milestones, dependencies, risks, deliverables, adoption, and performance measures
Maintain relationships with service providers, technology vendors, consultants, and data partners; support continuous improvement and additional analyses identified by leadership

Requirements

What you’ll need

Bachelor’s degree in data analytics, business analytics, information systems, computer science, finance, real estate, business administration, engineering, or a related field
Five or more years of progressive experience in data analytics, business intelligence, data governance, technology, corporate real estate, finance, or a related discipline
Experience developing complex analyses, dashboards, reports, data-quality processes, or technology-enabled solutions using information from multiple systems
Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, Power Query, data modeling, scenario analysis, charts, and large-dataset manipulation
Experience developing dashboards and visualizations using Power BI, Tableau, or a comparable business-intelligence platform
Understanding of data governance, data quality, master data, business definitions, controls, validation, and ownership
Professional experience using artificial intelligence or generative AI tools and understanding of responsible-use considerations
Strong analytical, organizational, project-management, problem-solving, written, verbal, presentation, and executive-communication skills
Ability to translate technical or analytical findings into clear business recommendations, manage multiple priorities independently, and collaborate across functions and organizational levels
Master’s degree in a relevant field is helpful
Experience supporting a geographically dispersed corporate real estate portfolio or working within a Fortune 500 company is helpful
Knowledge of portfolio strategy, transactions, lease administration, occupancy planning, facilities management, capital projects, workplace experience, sustainability, financial modeling, forecasting, benchmarking, and scenario planning is helpful
Experience with integrated workplace management systems, lease-administration platforms, facility-management systems, occupancy technologies, or corporate real estate databases is helpful
Experience working with outsourced service providers, technology vendors, consultants, and cross-functional global teams is helpful
Working knowledge of SQL, Python, DAX, data warehouses, cloud platforms, application programming interfaces, or data-integration tools is helpful
Experience with Microsoft Power Platform, including Power BI, Power Automate, Power Apps, or Copilot is helpful
Experience implementing AI-enabled workflows, large language models, intelligent automation, or predictive analytics is helpful
Intermediate or advanced Microsoft PowerPoint skills and strong data-visualization and storytelling capabilities are helpful
Relevant certification in analytics, data governance, artificial intelligence, project management, Power BI, or commercial real estate is helpful
Employment is contingent upon completion of a required identity verification process, which may include biometric technology where permitted by applicable law

Benefits

Comp & perks

Salary growth within the position
U.S. benefits information available
Video-conducted virtual interviews
Required identity verification process, which may include biometric technology where permitted by law