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About the role
Responsibilities: Build, manage, and maintain residential real estate datasets.Collect, integrate, and validate data from multiple structured and unstructured sources.Ensure data accuracy, consistency, and logical integrity across systems.Define and improve data standards, processes, and workflows.Translate granular property-level data into meaningful market insights. Requirements: 1-3 years of experience in Engineering, Data Operations, or Analytics-related roles.Strong analytical and problem-solving skills with complex datasets.Good understanding of structured data and its role in business decision-making.Ability to work independently with high ownership and attention to detail.Passion for data quality, scalability, and process improvement. Responsibilities: Build, manage, and maintain residential real estate datasets.Collect, integrate, and validate data from multiple structured and unstructured sources.Ensure data accuracy, consistency, and logical integrity across systems.Define and improve data standards, processes, and workflows.Translate granular property-level data into meaningful market insights. Requirements: 1-3 years of experience in Engineering, Data Operations, or Analytics-related roles.Strong analytical and problem-solving skills with complex datasets.Good understanding of structured data and its role in business decision-making.Ability to work independently with high ownership and attention to detail.Passion for data quality, scalability, and process improvement.
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