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Strong brand, common Data Analyst title, metro location, and broad SQL/Python skills increase competition.
Core SQL, Python, and analytics skills are highly transferable across industries.
Explicit 2+ years requirement plus mandatory SQL/Python and BI tooling increases shortlisting strictness.
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Deliver high-quality analytics, reporting, and insights to support decision-making in the Properties organization.
Analyze data to uncover trends, validate hypotheses, and generate actionable insights, including designing and measuring experiments like A/B tests.
Build and maintain dashboards, reports, and analytical products to monitor and improve business performance.
Bachelor’s degree in Computer Science, Information Management, Statistics, Mathematics, Economics, or a related analytical field.
2+ years of experience as a data analyst or business data analyst.
Proficiency in SQL and Python or similar query languages; familiarity with big data tools such as Spark or Hive.
Experience with reporting and visualization tools like Power BI, Tableau, or Looker.
Experienced in working with cross-functional teams and capable of understanding end-to-end data flows and dependencies.
Proven ability to translate complex data into clear, compelling dashboards and communicate findings effectively to guide strategy.
Comfortable in dynamic environments requiring continuous learning and contribution to scalable analytical solutions.