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Data visualization tools such as Microsoft Power BI, Google Looker Studio, and ArcGIS Online. Select the level of experience you have using data visualization tools, such as Microsoft Power BI, Looker Data Studio, and ArcGIS Online.
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Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) is a plus. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib) As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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The role of an HR Data Visualization & Governance Analyst is essential to the HR Reporting and Analytics team. Evaluate and work to improve the capabilities of Business Intelligence tools through new methodologies, technology, and data management; review existing reports to enhance accuracy, functionality, security, and consistency.
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Maps the systems and interfaces used to manage data sets, set standards for data management. Experience with visualization tools such as SSRS, Tableau, Microsoft Power BI. Experience with data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Databricks, Stream Analytics, and Azure Functions.
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Work across all phases of the Agile and Waterfall lifecycle for the design, development, testing and implementation of Master Data Management, Data Governance, Data Analytics and Data Integration solutions for enterprise-level clients.
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Familiarity with data visualization tools such as Tableau, Power BI, or Sigma. Become Global Logistics SME of data in system such as: SAP, ACS, VFI, Maersk System, YMS, TMS, FTZ-QAD, and any system that would aid in the end-to-end Logistics operational and financial needs.
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Familiarity with and knowledge of machine learning, natural language processing, text analytics, web data collection, and advanced data visualization is a plus. In addition, the Data Scientist II uses casework experience to identify and develop new capabilities and reusable code in areas such as text analytics, web data collection, data visualization, and machine learning and disseminate those capabilities within the firm.
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Create an organizational culture around data, empowering users and visualization creators. Utilize HR data and analytics expertise to impact business decisions, establishing an HR competitive advantage for our diverse retail brands, supply chain, and shared services customers.
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Conducted regression testing on the Azure SQL Data Warehouse and Power BI infrastructure every time significant changes were made to our data pipelines. Manage and develop reporting and Power BI applications, implement processes, monitor enterprise BI workspaces, and support IT processes such as change/release/incident management.
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Demonstrate a thorough understanding of the business processes and their relationship to HR data. Transform data into compelling reports that captivate and inform, empowering better decision-making.
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Understanding of HR Data Models. This involves working with data from our Azure SQL data warehouse, ad-hoc data sources, and third-party environments. Consult and assist other analysts in adhering to Power BI best practices and effectively communicating their data.
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Designated expert in HR reporting, specializing in data security and creating visual representations to improve understanding and decision-making. The responsibilities encompass creating sophisticated business intelligence solutions for analyzing and presenting HR, financial, and business data to diverse stakeholders and brands.
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Promote direction for the design, development and analyses gained from analyzing data using statistical and visualization tools including Microsoft Excel, SQL , Tableau, SSRS , and R. S/he is responsible for overseeing the systems and procedures that facilitate the management of the University’s prospects and safeguards the integrity of the University’s constituent and prospect data.
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Lead the management, monitoring, and improvement of existing and new enterprise BI workspaces and support IT processes, including change, release, and incident management. Ability to document and triage data quality and security issues.
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Maintain high visibility within the organization by collaborating with senior leaders to drive cultural change across a broad spectrum of data disciplines. Lead optimization and use of the BI platform and processes on how data is/can be utilized in the organization.
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program management data visualization jobs Title: management Company: Walmart in WA, Ohio
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