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Metro location, generalist data analyst title, broad skillset, and reputable employer increase candidate competition.
Technical skills transfer across industries, but commercial real estate domain preference raises fit sensitivity.
Explicit minimum experience and mandatory SQL/Python/R/Tableau/Azure skills make shortlisting highly selective.
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Transform complex commercial real estate and workplace data into actionable insights driving business development and portfolio optimization.
Develop and maintain advanced analytics solutions, dashboards, and reports using R, Python, Tableau, and Power BI targeted at strategic decision-making.
Manage and ensure data integrity across large-scale, multi-country datasets leveraging SQL Server and Azure cloud platform.
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 within commercial real estate, workplace consulting, HR analytics, or employee experience measurement with client-facing exposure.
Proficiency in SQL Server, Python, R, and data visualization tools like Tableau or Power BI.
On-site work location: Mumbai, Maharashtra; Scheduled weekly hours: 35.
Experienced in applying advanced statistical methods and predictive modeling to workplace and real estate data analytics.
Proven ability to deliver complex data insights and visualizations to senior leadership and diverse, non-technical stakeholders.
Demonstrated success collaborating in global, multi-disciplinary teams and managing large-scale analytics projects in commercial real estate or related sectors.