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Power Business Intelligence Development: Create, enhance, and maintain visually appealing, interactive Power BI reports and dashboards that empower data-driven decision-making.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. 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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Data Strategy and Governance. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.
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Identify data governance gaps and assess data governance maturity in a complex data environment. Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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High level of proficiency using/creating Tableau, Qlik, and/or Microsoft Power BI dashboards, workbooks, and databases; using data to drive business decisions; and building effective and engaging visualizations.
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Warehousing: Experience in Snowflake Data Cloud, SQL Server, Azure, AWS Redshift, Google Big Query. Visualization & Reporting: Tableau, Power BI, Qlik or similar. Data Architect who will closely work with Business Analysts in-order to design and develop the One-BI data warehouse which will be used as Enterprise-wide reporting system.
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In this client-facing role, you will support business leaders in the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
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Deep understanding of the modern data and analytics technology stack, from leading cloud data platform solutions such as AWS, Amazon Redshift, Google Cloud Platform, to BI applications such as Tableau, Power BI, Adobe Analytics, Google Analytics 360, etc.
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Data visualization tools (e.g., Tableau, SAS Visual Analytics, Power BI, MicroStrategy); SQL databases (e.g., MySQL, SQL Server, Snowflake) Statistical programming software (e.g., R, Python, SAS.
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Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Proteomics, Python (Programming Language), R (Programming Language), Statistical Modeling.
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Application software and training, including Ellucian CRM Advance, MS SQL Server Management Studio, SQL Developer, Visual Studio, Tableau, Project Management Software, Cognos, Power BI, Postman, XRMToolbox, Anthology/Encompass, and Hivebrite.
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Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Offers an opportunity to showcase strengths in SQL, SSRS/SSMS, API and Data Visualization utilizing SSRS and Power BI. Mining, cleaning and maintaining data in SQL utilizing API and SSRS/SSMS and visualizing in Power BI and SSRS/SSMS.
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Experience with any of DMS, FiveTran HVR, SageMaker, Dataiku, SAS, Looker, MicroStrategy, Power BI, Redshift, EMR, or Databricks. Understanding of Data Engineering, Data Science, Machine Learning, and AI workflows and their optimization.
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