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Strong company brand, mid-level popular data role, metro location, and broad skill requirements increase competition.
Core data skills are transferable, though commercial real estate and client-facing experience increase role specificity.
Explicit minimum experience plus mandatory SQL, Python/R, Tableau/PowerBI and Azure skills make filters strict.
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Transform complex commercial real estate and workplace data into actionable insights driving business development and portfolio optimization globally.
Design, build, and maintain interactive client dashboards and reports using R, Python, Tableau or Power BI to support strategic decision-making.
Manage large-scale datasets ensuring data integrity, perform advanced statistical analyses and develop predictive models to optimize workplace and portfolio performance.
Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, Data Science, or related quantitative field.
Minimum 3+ years of experience in data analytics, preferably in commercial real estate, workplace consulting, HR analytics, or employee experience measurement.
Advanced skills in SQL Server, Python, R, and data visualization tools (Tableau or Power BI).
Location requirement: On-site in Mumbai, Maharashtra with a hybrid work arrangement.
Experienced in client-facing analytics roles within commercial real estate or workplace strategy domains, capable of delivering complex insights to diverse stakeholders.
Proficient at balancing quantitative rigor with qualitative interpretation to tell compelling data-driven stories and support business decisions.
Comfortable working in global or cross-cultural teams, managing multiple projects with strong communication and presentation skills.