Senior Real Estate & Facilities Data Analyst

Job not on LinkedIn

🔥 11 minutes ago

🇺🇸 United States – Remote

💵 $74.6k - $124.7k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

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Assurant

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1892

💼 Consulting

📦 Logistics

💸 Finance

💰 Post-IPO Debt on 2023-02

Consulting • Logistics • Finance

Assurant is a global company specializing in providing consumer-centric support and protection services. With a presence in over 21 countries across regions like North America, Europe, Latin America, and Asia-Pacific, Assurant helps over 300 million consumers through services like technology protection, claims resolution, and financial services. The company emphasizes innovation, remote work opportunities, and global collaboration, with teams skilled in technology, claims, customer service, and finance. Assurant offers a competitive benefits package and is committed to equal employment opportunities and work-life balance.

📋 Description

• 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

• 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

• 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