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Remote, metro, mid-level generalist role with broad skills increases applicant competition.
Data engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 2-5 years requirement plus required data tooling moderately raises shortlisting strictness.
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Own the design, curation, and maintenance of data sets through ETL pipelines, web scraping, SQL queries, and automation for complex real estate industry data.
Collaborate with cross-functional teams to define data requirements and ensure data quality and integrity.
Develop and maintain BI dashboards, reports, and visualizations to communicate data insights and support data-driven decision making.
Bachelor's degree in Computer Science or related technical field.
2-5 years of experience in data analysis using tools like Python, SQL, Excel, Tableau, Looker, or PowerBI.
Experience with data querying, manipulation, integration scripting, and enterprise cloud platforms such as AWS or GCP.
Work Experience Required: 2-5 years in relevant data analysis roles.
Experienced in handling large-scale data projects with a focus on real estate or related domains preferred but not explicitly mentioned.
Comfortable working in dynamic, fast-paced environments demanding innovation and rapid execution.
Capable of independently understanding complex data problems, designing solutions, and leveraging generative AI technologies for disruptive product development.