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Microsoft Excel and Power BI. May work as part of or in conjunction with a database/data warehouse team on Extract, Transform, and Load (ETL) processes/projects. Data Analyst to perform tasks related to data profiling, data quality, and data harmonization between multiple systems.
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Work with a team with respect to discovery, design and delivery of data models, data governance models, data migration plans, data warehouse design and reporting components of applications using Microsoft tools.
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Experience with data visualization software (Tableau, Power BI, MicroStrategy, Qlik, think-cell, etc.) Experience working with enterprise data warehouse, building data pipelines, and feature engineeringExperience using statistical computer languages to manipulate data and draw insights from large data sets (required: SQL, R or Python; preferred: Spark, SAS, Julia, SPSS)Hands-on experience with machine learning models, including regression models, classification models, clustering, dimensionality reduction, time-series models, hierarchical models, etc.
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Microsoft Office Suite SQL Visio Power BI Python JIRA SharePoint. + This is a role on the BTS Data Warehouse team requires experience in crafting Business Requirement Documents, Functional Requirement Documents and Mapping documents for the development of ETL applications.
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Develops robust Business Intelligence and data warehouse solutions using Microsoft SQL Server technologies like SSIS and other BI technologies. Experience in building Dashboards and KPI visualization on Power BI and/or Tableau.
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Essential Job Functions:Designs, builds and maintains reports using Epic’s Cogito tools and data warehouse (i.e., SQL, Cogito SQL, RWB, Crystal, SSRS, Power BI, SAS). Develops dashboards and data visualizations using Microsoft Business Intelligence Tools such as Power BI, SharePoint and SSRS.Analyzes and assess institutional reporting needs as it relates to area of focus (i.e., Operational, Research, Quality)Gathers requirements of individual users and requests.
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5+ years of recent experience in BI development, datawarehousing, data visualization and data querying with emphasis on Power BI and the Microsoft BI suite.
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Proficiency in data visualization tools such as Power BI and database management tools like Microsoft Access. utilizing Power BI and Microsoft Access to extract, transform, and visualize data for actionable insights & reports; inventory trends, forecast accuracy, and other relevant metrics.
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Knowledge of building modern data reporting solutions in cloud technologies including Power BI a plus. The Sr Data Architect will design, build, and enhance within their SQL data warehouse, ETL processes, Azure environments as well as troubleshoot data and database issues.
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Continue the design, development, and documentation of Barr’s enterprise data warehouse, dashboarding, and self-service reporting ecosystem using the Microsoft Business Intelligence toolset (SQL Server, SSIS, SSAS tabular, Power BI, Azure.
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Modeling warehousing and ETL methodology making use of cloud-based technologies in the Microsoft Stack (Microsoft SQL Server along with complementary technologies such as Azure Data Studio, Azure Data Factory, Blob Storage.
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Modelling warehousing and ETL methodology making use of cloud-based technologies in the Microsoft Stack (Microsoft SQL Server along with complementary technologies such as Azure Data Studio, Azure Data Factory, Blob Storage.
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Our client, a top consulting firm, is looking to hire a Sr Data Architect to join their corporate IT team! Design, implement and help maintain ETL migrations to Azure Data Factory. Providing technical expertise on data storage structures, data mining, and data cleansing.
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Tableau or Power BI - experience supporting and leading BI, Data Analytics, KPI & Executive Dashboards, etc. Keywords: TX, Texas, Dallas, DFW, Retail, WAN, Network, Infrastructure, email, MS D365, ITIL, Project Management, Inventory, Warehouse Management, WMS, EDI, Pricing, etc.
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Preferred knowledge: MarTech tools / knowledge, Adobe Analytics, Fullstory, Qualtrics, Microsoft Power BI. He/She will be using applications such as Web Analytics, Fullstory, Qualtrics, Data Warehouse to investigate potential issues and gaps, and report back using most applicable presentation tools.
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