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As a Senior Business Intelligence Developer, you will be responsible for collecting, organizing and analyzing terabytes of fan data from over 200 mobile sports apps around the world, including those of NFL, NBA, NHL, MLS, and LaLiga clubs.
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3 years business intelligence tools (e.g., Power BI, Tableau, Qlik Sense), and reporting via dashboards and scorecards. 5 years business intelligence tools (e.g., Power BI, Tableau, Qlik Sense), and reporting through dashboards and scorecards.
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We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Owning core SQL and python data pipelines that power our data lake and data warehouse.
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As the Business Intelligence Analyst you will be the function lead and primary point of contact for the BI function - will take ownership of stakeholder management, strategy, and the data that is available in our data warehouse to the entire organization.
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Directs, controls and is accountable for assigned value-based care data and analytics for PeaceHealth value-based care opportunities under the leadership of the System Director of Value Based Care. Directs the management of data strategy, report development, Business Intelligence (BI) tool administration and data warehouse development for PeaceHealth Value Based Care Programs.
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Intelligence (BI) Developer will develop and implement enhancements to and provide production support for the firm’s enterprise data warehouse, reporting, data integration, and business intelligence solutions (Microsoft SQL Server Business Intelligence stack.
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He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts. The Power BI architect / developer should be familiar with data science, business intelligence, and data analytics.
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Option 3: Master's degree in Computer Science and 4 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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You will leverage your ability to design, build and deploy data solutions using cloud based compute and warehouse tools that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Option 1: Bachelor's degree in Computer Science or related field and 6 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field.
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Option 2: 8 years' experience in data engineering, solution architecture, business intelligence, business analytics or related field. Data Strategy: Requires knowledge of understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets.
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Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (Azure) and data warehouse tools (Snowflake, Databricks) Experience with other business intelligence tools and technologies such as Alteryx and Tableau.
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Residing on the Reporting, Analytics, and Business Intelligence Team, the Lead Cogito BI Developer leads and provides technical expertise in the design, development, testing, documentation, maintenance of Epic reporting and analytic solutions including Caboodle/Clarity databases and Healthy Planet, Radar, SlicerDicer, and Reporting Workbench applications.
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Write SQL queries in Snowflake to extract data from data warehouse in order to answer Adhoc analytics questions and show trends. Develop recommendations to drive business performance by utilizing statistical analysis & modeling, A/B Testing, Python, SQL programming, Tableau & MS Excel.
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We are seeking a Mid-level Automation Test Engineer (Top-Secret Clearance required) with AWS experience to join a data warehouse and business intelligence (BI) team supporting our federal client working to migrate an on-prem Oracle Enterprise Edition (EE) data warehouse to Redshift data warehouse in AWS. This is a full-time position with on-site work performed at the client's office in Washington, DC.
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