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The Lead QA Analyst is responsible for testing BI Data solutions and enterprise semantic model, while coordinating the development of these requirements with the Data engineering team.
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Client is seeking a highly skilled Senior Power BI Developer with a basic understanding of data analytics concepts to join our team. Proficient in Power BI Desktop, with extensive hands-on experience in creating and deploying Power BI reports, analytics, and dashboard solutions, covering design, development, deployment, data engineering, and data management projects and practices.
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Knowledge of Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, and Power BI is desirable. Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark.
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Data Management and Storage: Microsoft Azure offers a variety of data storage options, including Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, and more.
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Understanding of data concepts, including data design and modelling, as well as SQL, BI tools (Excel, Tableau, Looker, or Power BI) and Big data. Manage the Investments data lineage across all upstream and downstream systems and various data sources; oversee and dictate data flows to consumers including third-party applications and vendors (Clearwater, etc.
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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Basic experience with any of the major Business Intelligence reporting tools, such as Power BI, BusinessObjects, Hyperion, Cognos, Microstrategy, Tableau, QlikView, or SSRS. There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
$34 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Proficiency in CRM (Salesforce) and knowledge of Power BI are preferred. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
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Experience with data governance and reporting tools including Informatica Axon and EDC, Microstrategy, Power BI, Tableau, and BeX. Oversee the Data Governance Working Group, coordinating project timelines and outcomes, program communications, and membership updates.
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Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.) Have experience with data analysis tools (JMP, Minitab) and data visualization tool (Tableau, Power Bi, SQL, etc.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Background in data science, mathematics, actuarial science, or engineering.
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Proficiency in data visualization tools (e.g., Tableau, Power BI) Yes Energy delivers real-time market data and electric power trading decision solutions. Yes Energy’s industry leading electric power trading analytics software provides real time visibility into the massive amount of data that is generated by the North American electrical grid every day.
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Experience leading data science infrastructure strategy and implementation and familiarity with data warehouse design, development, and best practices. Job Description We are looking for a experienced leader to manage a newly centralized Data Science and Analytics team.
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An advanced degree (master’s or doctoral) in a quantitative field, including but not limited to Computational Biology, Computer Science, Data Science, Applied Mathematics/Statistics, all relevant engineering and science disciplines.
$144,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data science power bi jobs Title: data analyst in Boston, MA
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