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Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire. Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices.
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6+ years' experience with dashboard/data visualization platforms like Tableau, Dundas, Microsoft PowerBI, and Looker. -Work independently and innovatively on end-to-end solutions, from data analysis to ETL design and development, data modelling, data transformation, and visualization and UI components.
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Experience working with data visualization dashboarding tools (PowerBI, Tableau)Insurance domain knowledge or strong interest in developing itExperience with the MS Azure cloud environmentGuy Carpenter & Company, LLC is a leading global risk and reinsurance specialist with more than 3, professionals in over 60 offices around the world.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Background with data visualization tools such as Power BI, Tableau, Datorama, Domo. Experience working with Clickstream web analytics tools such as Adobe Analytics, Google Analytics, Mixpanel, HEAP or Amplitude.
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. Deep understanding and proven experience in Databricks, Azure Data Factory, Synapse.
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Familiarity with data exploration and data visualization tools like Tableau, Looker, Chartio, etc. Partnership: Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, testing platforms, data visualization, and data architecture.
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Expertise in visualization technologies like Looker, Tableau, or Qlik Sense. Day to day you’ll be building ETL pipelines, modeling data to feed analytical reports and data science models, designing data access tools, or building data models in Looker.
$152,000 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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Proficient in R, Python, Spark, and SQL. Demonstration of independently accomplished data science projects from end to end including data manipulation, visualization, statistical modeling.
$100,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Strong familiarity with People Analytics data and technology architecture from data source to ingestion, transformation, and visualization. Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Strong analytical, data visualization, and storytelling skills. Experience with Tableau (or other data visualization tools) required. Two Plus (2+) years of experience as a Data Analyst: Connecting data (HR, Finance, Market Research or Operations data preferred) to quickly break down objectives into key questions and information requirements.
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) 8+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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data visualization jobs Title: data analyst Company: Intuit in Newark, NJ
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