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7+ years of experience successfully establishing effective data governance/management in a large, complex organization with expertise in data governance for big data space with knowledge of various MDM/entity resolution solutions.
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The courses may include Foundations of Data Analytics and Programming, Advanced Excel for Data Analytics, Data Governance, Management and Quality, Data Visualization-Power BI, Data Visualization-Tableau, Data Privacy and Integrity, Data Protection, Descriptive Analytics, Predictive Analytics, Data Complexity, Cloud Analytics, Big Data, various programming courses and concepts involving python, r and ML, and database courses (including MySQL, Microsoft SQL Server and NoSQL alternatives.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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Hands-on experience implementing enterprise metadata management programs, including deployment of enterprise taxonomy and ontology, and delivering data governance solutions. The role involves collaborating with stakeholders to assess metadata management needs, translating them into actionable requirements, and configuring ASG Rochade for optimal data governance and integration.
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2+ years of experience with data visualization, data management, data governance, data strategy, data policy, or data engineering. Provide business clients with detailed, actionable reports documenting the findings from data processing and data analysis for program, financial, and acquisition management activities.
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Experience building and optimizing best practice Enterprise Risk Management, Third Party Risk Management, Risk Quantification, as well as Data Governance and Artificial Intelligence (AI.
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Knowledge of databases and data mining / big data analytics / predictive analytics (e.g., SQL, PowerBI, Tableau, Alteryx, Data Lakes, Data Warehouse)Knowledge and experience in advanced Optical Systems, EO/IR Sensors, or ISR applications.
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Experience with COTS enterprise data visualization tools (e.g., Qlik, SAP Lumira) Experience with ADVANA, PYTHON, R languages, Visio, and Data Bricks. Data Visualization Specialist, Senior Level Current T3 background investigation required 100% Remote Nationwide IT Services, NIS, is seeking a Data Visualization Specialist to support our government customer.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Knowledge and experience with data analytics and data visualization tools and systems (e.g., PowerBI, Alteryx, Dataiku, QlikView, Tableau); experience with writing or editing SQL, VBA, Python and/or other programming languages; advanced Excel knowledge.
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Production experience with developing content recommendation algorithms at scale and familiar with metadata management, data lineage, and principles of data governance. Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark.
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Demonstrated experience in data governance, data quality management, and data security practices. Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes.
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Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment. Building streaming data pipelines using Kafka, Spark, or Flink.
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big data governance management visualization jobs Company: Wells Fargo
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