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Data Management and Quality: data mapping, data profiling, data catalog, relational data Modeling, master data management, data governance. Data Integration concepts and strategies: EII, ETL, EL-T, SOA, and EAI.
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Strong understating of data quality, governance, ETL, data management, and related topics. Partnering with Technology to modernize our data platform - includes building foundational capabilities to support data quality & governance, data process management, data distribution, data analysis & testing, etc.
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Design, develop, and deploy BI solutions, including interactive dashboards in Tableau, sourcing data from internal SQL Server databases, Tableau published data sources and external sources, and leveraging ETL tools ( Alteryx ) when needed.
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The Analysts primary responsibility will be to develop and maintain data flows/pipelines, improve ETL processes/data quality and develop data manipulation workflows in Alteryx automating manual solutions.
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Business Intelligence tools: Alteryx, Microsoft tools (SQL Server Management Studio, SSRS, SSAS, SSIS, Power Pivot, Power Query, PowerBI) Data Integration tools: SSIS, Azure Data Factory, Azure Synapse Pipelines.
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Leverage industry tools (e.g. PowerBI, Tableau, Alteryx) and proprietary tools (i.e., Lighthouse) to assess data quality and assist to resolve data quality problems.
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3+ years of experience building high quality ETL/ELT pipelines to prepare data for downstream reporting/analytics. Experience preparing and combining data from multiple sources (SSIS, Alteryx, etc.
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Data Warehousing, Data modeling, Data mastering, Data quality, ETL, Informatica, Alteryx, MSSQL, Oracle, Teradata, Hadoop, Snowflake, MSSQL, SSIS, SSRS, PowerBI, Tableau, Python, R, Scala, SPARK a další programovací jazyky, reporting, ETL nebo další datové nástroje.
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Developing/testing Experience on Cloud/On Prem ETL Technologies (Ab Initio, AWS Glue, Informatica, Alteryx). Should be well versed with the Data flow and Test Strategy for Cloud/ On Prem ETL Testing.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Experience 8+ in Automating ETL process/Pipelines and AWS Data & Infrastructure with Python. Knowledge of Data modeling and Data warehousing concepts with emphasis on Cloud/On-Prem ETL.
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Strong knowledge of ETL and experience utilizing different tech stacks - SQL Service Integration Services (SSIS), SQL Server Reporting Services (SSRS), Power BI, Azure, Snowflake, Alteryx Designer and Server Excel, etc.
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This is a technical position that will involve gathering requirements, preparing documentation, combining data from multiple sources, developing ETL pipelines, and creating new datasets to support downstream reporting/analytics.
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A strong working knowledge of analytics platforms including Data Fabric/Data Warehousing technologies, ETL tools like Alteryx, SQL, Oracle SQL and Visualization tools like PowerBI is required.
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Quality assurance and data cleansing, using MS Excel, Alteryx, or similar platforms. Experience with ETL and/or ELT operations using systems such as Alteryx is highly desirable, or the ability to learn quickly.
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