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Connecting to data sources, importing data and transforming data for Business Intelligence. The Business Intelligence Analyst will work with the Operations team across the different commodities and corporate functions with the goal of developing, supporting, and implementing business intelligence solutions using Power BI across its Commodity Trading and Risk Management system as well any other systems the company operates in.
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Active contributor in building robust procedures around data security, data governance, data cataloging, etc. You will be working closely with business leaders and business analysts to architect data models, build data pipelines and deliver metrics and KPI's that answer important questions about our business operations and enables future growth.
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Ensure a Data Steward is assigned, and that Data Governance and Data Privacy guidelines are completed by the team when data is involved. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
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Preferred Background: Experience (-+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledge Strong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB and SQL Server, etc.
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Job Description: As a Hybrid Business Intelligence Analyst, you will play a crucial role in leveraging data to drive informed business decisions and enhance operational efficiency.
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Produce governance materials for the regular In-Business CDO Data Governance Forums. You will be responsible for working with teams across the CIB overseeing the delivery of the In-Business CDO Governance framework, whilst playing an active role in multiple other data governance initiatives.
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Designing enterprise data platforms on cloud (Azure/AWS/GCP) including services like ETL pipelines, Data Modeling, Visualization, Data Governance, RDM/MDM, etc. It leverages technologies like robotic process automation (RPA), machine learning, natural language processing, and blockchain to help its clients enhance operational efficiency, improve customer experience, and drive business growth.
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Experience in one or more public cloud platforms such as Atlassian, Microsoft Power Platform, Business Intelligence platforms, Microsoft 365 and Office 365 platform, or other SaaS Platform Administration.
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By combining tactical skills with a deep understanding of global Data Privacy Regulation (i.e. GDPR, CCPA), local data-centric regulations (i.e. SOX, GLBA), and industry best practices (i.e. AI Ethics, PII, IAPP and PCI credentials and certifications), Data Governance is a critical partner to Enterprise Risk, Information Security, Compliance, Privacy, and Legal to enable and drive business goals and FIS data strategy, while helping to protect from risk.
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Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, Data Archival and Data Migration strategies using appropriate tools is desired.
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Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc. Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes.
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Demonstrated experience in data governance, data quality management, and data security practices. Experience in data discovery of source systems like Oracle E-Business Suite and Client is preferable.
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Work with DPI colleagues in fundraising, investor relations, compliance, policy, impact assessment, and community engagement to ensure that data systems, analyses, and reports are adequately serving their needs and work with Self-Help's Data Intelligence Group (DIG) to optimize them.
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Data governance is an area of strategic emphasis for the agency and is a programmatic service central to WSP's business purpose. The CDO is responsible for the development and maintenance of WSP's data governance framework, contract/vendor requirements, and overseeing the flow of data both within WSP and between WSP and external entities.
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business intelligence data governance jobs Company: Dice
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