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This hands-on role will report to the Workday Principal Administrator as part of HR Technology Team. This role will drive HR Data reporting and analytics strategy, data discovery and collection, data security, data modeling, data transformation, data analysis, data visualization, and reporting in support of the organization’s overall HR Data & Reporting objectives.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
$180,000 - $220,000RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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High proficiency with business analytics tools (e.g., Power BI, Tableau, Qlik) Experience with data modeling, data warehousing, and ELT processes Excellent communication and presentation skills Organized with good project management skills Strong understanding of data governance and quality principles Cloud Platform: Familiarity with cloud-based business intelligence and data analytics platforms (e.g., Azure, AWS, GCP.
$150,000 - $185,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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New York City (Hybrid On-Site): $233,100 - $266,000 for Director, Ontology and Data Modeling. You are also able to coach others and be a mentor in Ontology and Data Modeling.
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At least five years of experience in data management disciplines, including data integration, modeling, optimization, and data quality. Lead the development of data governance policies and best practices for data consumers and users.
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Experience with Data Modeling, Master Data Management, Data Governance, Data Cataloging, Data Replication. Proficient in database design, development, database architecture and data modeling.
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Should have an in-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.
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The Data Engineering Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is to drive data strategy, pipeline building to support analytics and reporting activities.
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At least 8 years or more of work experience in data management including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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In-depth knowledge of data modeling, data integration, ETL (Extract, Transform, Load) processes, and data governance principles. Metadata Management: Implement and maintain metadata repositories, enabling effective data lineage, data impact analysis, and data cataloging to support data governance and data lineage requirements.
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Ability to work with various data management tools and technologies, such as data governance platforms, data cataloging tools, master data management systems, and data quality tools.
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Collaborate across multidisciplinary teams-Compliance, Data Science, Model Risk Management, Data Governance, and Human Resourcesto set actionable strategy and accomplish organizational objectives.
$200RemoteExpandApply NowActive JobUpdated Today
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