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Use strong analytical and quantitative skills; Ability to use SQL (Amazon Redshift, Microsoft SQL, and Postgres) and reporting platforms (Tableau, QuickSight, and SSRS) to produce clear data that allows cross-functional stakeholders to make exceptional business decisions that improve customer experience.
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Proven development experience and leadership of SQL Server Technologies (SSIS, SSAS, SSRS) Reporting platforms and solutions (Cognos, Tableau, MicroStrategy) Data Platforms (Oracle, SQL Server, Netezza, Cloud, Hadoop Leadership and core business/interpersonal skills.
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Experience using complex SQL.Experience with SQL Server and related tools including SSRS, SSAS, and SSIS.Experience in the role of project manager leading BI projects. Job DescriptionJob DescriptionIRG is seeking a Business Intelligence Technical Lead (SSIS and Tableau) for its client at Madison, WI/Role: Business Intelligence Technical Lead (SSIS and Tableau)Location: Madison, WIDuration: 2-3 yearsResponsibilities, Knowledge, Skills & Abilities Experience providing technical leadership to a business intelligence team and mentoring team members on technologies and tools to ensure consistent and effective implementation.
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Experience in d ata visualization and business intelligence tools (Power BI and Tableau) and Writing SQL scripts and queries to extract data. Experience with reporting packages (Microsoft SSRS, SAP Crystal Reports, etc.
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Proficient in Tableau and other BI tools, such as Power BI, SSRS. Strong knowledge of SQL and data warehouse technologies, such as SQL Server, Azure SQL, Big Query, Synapse.
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Experience recruiting candidates with the following types of skills within Insights & Data:Ab Initio, AWS Cloud, Big Data, Cognos, Collibra, Data Analysts, Data Modelers, Data Quality Specialists, Data Scientists, Data Stage, Hadoop, MDM, Informatica Informatica Data Quality (IDQ),ETL, Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services (SSRS)OBIEE, Oracle PL/SQL, Python, QlikSense, Qlikview, SAS, Scala,Spark, Splunk, Tableau, Talend, Teradata.
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Demonstrated interest in learning techniques and technologies relevant to statistical analysis (Excel, R, Python), data management (SQL), reporting (SSRS, Tableau) Demonstrated interest in learning techniques and technologies relevant to statistical analysis (Excel, R, Python), data management (SQL), reporting (SSRS, Tableau.
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Visualization: Reports, dashboards, mobile reporting, and governance with a focus on usability, performance, flexibility, testability, and standardization using tools such as Microsoft Power BI, Tableau, Looker, QlikView, and SSRS or equivalent.
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DesignMind is a Microsoft Gold Partner for several Data related competencies, and has partnerships with Snowflake, AWS, Tableau, Cloudera, Profisee, StreamSets, Looker, and other leading technology providers.
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Proficient understanding of a variety of reporting Technologies (Excel, SQL, SSRS, Tableau, etc.) Report or visualization development experience using software such as SSRS, Tableau, etc.
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5 years software development experience on Microsoft BI Platform – SSIS, SSRS, MS SQL Server. Experience in building Dashboards and KPI visualization on Power BI and/or Tableau. Develops robust Business Intelligence and data warehouse solutions using Microsoft SQL Server technologies like SSIS and other BI technologies.
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Experience with Business Intelligence tools such as Tableau, SSRS, Power BI. Hands-on development experience in SQL Server 2016 or above using SSIS and SSRS. Experience with Continuous Integration Tools (Jenkins, TeamCity, Bamboo) and Test-Driven Development (TDD) a big plus Experience with Red Gate Tools a plus (SQL Source Control, SQL Compare, SQL Data Compare, DLM.
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Supports, trains, and advises internal customers on the use of Tableau for self-service reporting, develops dashboard reports using Tableau and SSRS. Develops tools to store data for ad-hoc reporting, such as Tableau data sources and OLAP cubes.
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Microsoft/Oracle SQL, GCP Data Engineer Certification, Tableau Data Analyst Certification. Familiarity with BI technologies (e.g. Microsoft Power BI, Tableau) Microsoft Business Intelligence(SSIS,SSAS & SSRS.
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Strong knowledge of SQL and NoSQL databases, as well as data integration and transformation tools(SSIS) Microsoft SQL Server. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks (Spark, Hadoop, etc.
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