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Experience working with and configuring enterprise data visualization tools (e.g. Qlik, Tableau, Power BI) Experience working with DBT or other modern data development tools.
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The Digital Transformation team is taking a larger role in Governance, partnering with IT to develop best in class processes around Data Governance for BI tools (QlikView, Power BI, GL Wands.
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Experience with business intelligence tools and technologies such as Informatica Power BI and Tableau. Proficiency in the design and implementation of modern data architectures and concepts such as cloud services AWS Azure GCP realtime data distribution Kafka Dataflow and modern data warehouse tools Redshift Snowflake Databricks.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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Possess specialized knowledge of Independent System Operator functions, including market settlement, bilateral power trading, after-the-fact checkout, and hands-on experience of revenue quality meter data interrogation and validation technology such as MV90 of Itron.
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Data Pipeline Development: Design, build, and maintain scalable and robust data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow. Technical Skills: Proficiency in data pipeline tools and frameworks such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of leading a team building a world-class data environment.
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Strong technical experience in major BI reporting tools like Power BI. Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure.
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Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices. 5-7+ years in designing, solutioning the Azure Databricks, PySpark, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Experience with Tableau, SQL, SPSS, Power BI, Action O-I benchmarking, MGMA survey data is a plus. Our team provides additional expertise in interim management, restructuring, revenue cycle management, mergers and acquisitions, compliance and regulatory, digital technology and analytics.
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Modeling, quantitative analysis, treasury, interest rate risk, process improvement, finance, data modeling, data strategy, Risk assessment, balance sheet analysis, process reengineering, liquidity, IRR, LCR, Liquidity coverage ratio.
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Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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As part of the Quality and Safety division, Data and Analytics (DnA) empowers NYC Health + Hospitals and its partners with data, digital tools, AI capabilities, and insights to drive quality and performance improvements, support enterprise operations, and enhance patient outcomes.
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Proficiency in handling large amounts of data in at least one of the following cloud computing tools Snowflake, Microsoft Azure cloud, or AWS. Proficiency in at least one of the following visualization/BI tools Tableau, PowerBI, Qlik, or similar visualization/BI tools.
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Proficient in building customized dashboards using BI tools (i.e., Looker, Power BI, Qlik, Tableau) Well-versed in core advanced analytics data mining & scripting tools such as Python, R, and SQL.
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power tools bi data management jobs Title: data scientist in New York, NY
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