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Software Used: SSMS, SSIS, SSAS, SSRS, Power BI, Visual Studios, Azure Dev Ops. Proven experience with the Microsoft Business Intelligence stack (SSMS, SSAS, SSIS) and Power BI.
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Additionally, this role supervises and manages both a team of health data analysts, as well as project teams building data and reporting deliverables, using new and legacy development tools including SQL Server T-SQL, Oracle PL-SQL, Power BI, DAX, Azure DevOps, Power Automate, JIRA, MS Access, and SAS.
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Experience with data visualization tools such as Tableau or Power BI. Support agile work processes and keep work management systems current (e.g., Azure DevOps) Support agile work processes and keep work management systems current (e.g., Azure DevOps.
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As such, we're seeking a BI Developer to design and create Tabular Cubes, SSIS integrations and SSRS reports. Experience with Microsoft Azure (Data Lake, Data Factory, Synapse) From requirements, you will develop proofs of concept to validate ideas or technologies as we create and deliver data products (ie reports, dashboard/scorecards, self-service options, and BI query objects) that will streamline operations and scale with the business.
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You will work with users and/or Business Analysts to define BI requirements. Works with corporate IT to help manage and maintain the BI environment. In line with our strategic priorities to simplify operations and leverage commonalities across our house of brands, a major point of emphasis for the IT organization at Revelyst today is eliminating technical debt.
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Advanced reporting skills with Alteryx, Power BI, Cognos, Qlik. Experience with Visio and Azure DevOps collaboration tool. Advanced reporting skills with Alteryx, Power BI, Cognos, Qlik.
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Proficiency in data analysis tools and languages such as SQL, Python, R, and experience with data visualization tools (e.g., Tableau, Power BI). Strong understanding of data architecture principles, database technologies, and cloud platforms (e.g., AWS, Azure, Google Cloud.
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Proficient in machine learning algorithms (regression techniques, tree-based, deep learning, unsupervised learning) Strong programming skills in languages such as Python, R, or Java. We are looking for a Senior Data Scientist with at least seven years of experience implementing machine-learning models and conducting advanced data analysis for production-level systems.
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We focus on contributing to PwC’s value proposition of “strategy led and technology enabled”, by aligning our Consulting Solutions’ industry focus with the Microsoft technologies such as Dynamics 365, Azure, Power Platform and Power BI.
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Microsoft Azure DevOps. Utilizing Microsoft BI suite, MS SQL Server and SSRS reporting services to manage the reporting lifecycle (Report Design, Creation, Publishing, Subscription, Alerts); and.
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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing; building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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Expertise in data and analytics technologies, tools, and platforms, such as SQL, Python, R, Spark, AWS, Azure, Tableau, Power BI, Swowflake, DBT, Prefect, AWS Glue, etc. Expertise in data and analytics technologies, tools, and platforms, such as SQL, Python, R, Spark, AWS, Azure, Tableau, Power BI, Swowflake, DBT, Prefect, AWS Glue, etc.
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APICS CPIM or CSCP; and, Demonstrates extensive ability to collaborate with Microsoft Dynamics 365 Technical Architects, clients, engineering teams including developers, testers and PMO to deliver a quality product and implementation.
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Minimum of seven years of experience in a data science role, with a focus on implementing machine learning models in production. Lead initiatives to design and implement algorithms for route optimization, consolidation optimization, and demand forecasting.
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The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
$112,000 - $218,400 a yearFull-timeExpandApply NowActive JobUpdated Today
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