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Well-known global firm, metro location, mid-level generalist data role, and broad BI/ETL skills increase applicant competition.
BI, ETL, and analytics skills are transferable across industries, though CRE domain exposure moderately preferred.
Explicit 2–4 years plus mandatory BI, ETL, and data governance skills create moderately strict shortlisting.
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Own the end-to-end data lifecycle for occupier-related real estate data, ensuring data integrity and governance.
Design and manage databases, dashboards (Power BI, Tableau), and automated reporting to improve tracking of KPIs and client metrics.
Drive process automation and standardization, improving reporting efficiency by 30–40% and reducing client deliverable turnaround by 25–30%.
2 to 4+ years of experience in data analytics, research, or consulting with exposure to commercial real estate or related fields.
Proficient in data governance, ETL process management, data visualization tools like Power BI and Tableau.
Experience managing data lifecycle including ingestion, validation, transformation, and reporting.
Work Experience Required: 2–4+ years in relevant domains.
Experienced in program management or serving as a single point of contact (SPOC) for data initiatives across teams and geographies.
Strong operational focus on standardization, automation, and scalable analytics supporting senior stakeholders and client-facing teams.
Background in commercial real estate data analytics or consulting enabling insight-driven decision support for tenant representation and portfolio management.