IT Governance Processes Analyst – MID

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🕒 June 9

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Compass

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

📱 Media

Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Work on data governance initiatives, supporting the structuring, evolution and maintenance of practices and processes related to data management; • Support the journey to increase data governance maturity, aligned with the disciplines of the DAMA DMBOK framework; • Work in partnership with Data Teams, supporting initiatives focused on data quality, governance and data organization; • Contribute to the definition, review and standardization of processes, artifacts and best practices for data governance; • Support activities related to the management of technical and business metadata, data quality, master data and data lineage; • Use platforms such as Informatica AXON, EDC and IDQ, Microsoft Purview and Fabric, SAP PowerDesigner and Databricks to support governance initiatives; • Perform data modeling activities, including dimensional modeling with Star Schema and Snowflake Schema; • Support the cataloging, documentation and qualification of data, promoting greater traceability, reliability and value generation for business areas.

🎯 Requirements

• Knowledge of data governance and the disciplines of the DAMA DMBOK framework; • Experience with Informatica AXON, EDC and IDQ; • Familiarity with Microsoft solutions such as Purview and Fabric; • Knowledge of data modeling tools such as SAP PowerDesigner; • Strong knowledge of data modeling, including dimensional modeling; • Proficiency in Star Schema and Snowflake Schema concepts; • Ability to support technical and functional discussions involving technical metadata, business metadata, quality, lineage, organization and standardization of data.