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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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Experience with data management, data modeling, data governance, and data integration technologies and tools, such as Snowflake, AWS Redshift, Teradata, Informatica, SAP, InfoSphere, Tibco, Denodo.
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Occupation: utilizing industry exp in climate risk modeling incl catastrophe modeling or re/insurance; utilizing exp in fields of sustainable finance, incl climate stress testing or Environmental, Social, & Governance (ESG); utilizing exp in geospatial analysis & big data manipulation, incl modelling of extreme events & natural hazards, & weather catastrophes; utilizing Python or R to perform coding & softw dvlpmnt.
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Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact. Understand and apply concepts associated with data modeling, machine learning, and artificial intelligence (AI) and their application in client workflows.
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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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Understanding of data modeling, data warehousing, data quality management and data governance principles is a big plus. Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members Master Data Management, capital markets/investment management, Fund Distribution.
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Manage a team responsible for cyber resilience remediation management, reporting, and escalation of vulnerabilities identified through Cyber Resilience testing activities, including penetration testing, application security testing, cyber exercise after action, cyber incident after action, and threat modeling assessments.
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In-depth knowledge of Data Mart and Data Warehouse (DWH) projects, including data modeling, ETL processes, and data governance. A multinational organization with 55 offices in 20 countries and the possibility to work abroad.
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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.
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You will have a proven background in data stewardship, data modeling, data management, data governance, and data integration practices, enabling you to guide teams in delivering high-quality, performant, and robust solutions.
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Collaborating with cross-functional teams, you will lead the implementation of data integration processes, data mapping, and modeling, ensuring data governance policies are adhered to, and resolving integration issues to maintain high data quality and integrity.
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Overall knowledge of various aspects of data engineering (databases, cloud data, data migration, data modeling, data quality, data governance etc.) Experience developing Unix, and/or Windows based applications, strong component, process and data modeling skills.
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The CAO team within DART (Data, Analytics, Reporting, and Technology) is responsible for oversight of DART governance, control effectiveness, issue management and remediation, Internal Audit and regulatory engagement, budget and all aspects of the people strategy within DART and the overall Risk Management Organization.
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Experience working with a variety of modeling tools and platformsmonly used in the insurance industry (, SAS, R, Python, TensorFlow). Deep understanding of AI and modeling concepts, including machine learning algorithms, bias mitigation techniques, and explainability methods.
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governance modeling jobs in Kearny, NJ
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