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Popular mid-level data role, metro location, broad skillset required, and a known employer increase competition.
Core data engineering skills are transferable, though real-estate domain knowledge is beneficial.
Explicit 5–10 years requirement plus mandatory BI/ETL/SQL skills makes shortlisting relatively strict.
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Own and develop BI solutions for Project and Development Services with measurable impact on decision-making through data discovery and visualization.
Design and implement data acquisition, modeling, and visualization processes to provide actionable insights for APAC region business transformation.
Collaborate with Data Science and tech teams to innovate and integrate end-to-end analytics products including ETL, statistical modeling, and BI visualization tools.
Bachelor’s degree in Business, Information Science, Computer Science, Mathematics, Statistics, or related quantitative discipline.
5-10 years of experience in information science, computer science, or analytics with proficiency in SQL, Python, R, SSRS, and BI visualization tools like Microsoft Power BI and Tableau.
Strong understanding of data wrangling, data warehouse design, ETL frameworks, and Big Data statistical modeling techniques.
On-site work location: Gurugram, Haryana; Shift timings: 8 AM - 5 PM IST.
Experienced in large global organizations with complex technical environments and cross-functional teams, preferably with Government experience.
Capable of translating complex business needs into technical specifications and delivering BI solutions that simplify user workflows and decision-making.
Strategic and proactive operator who continuously learns emerging BI technologies and effectively communicates insights to drive business transformation in real estate domain.