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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker. Data visualization tools such as Tableau, Datorama, Alteryx. Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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Serve as an Power BI Data Visualization Analyst - Application Systems Analyst II and technical agent for DPI working with School Business Division. The Application Systems Analyst II (Power BI Data Visualization Analyst) will develop and deliver visual dashboards, reports and infographics that assist in understanding and the communication of operational performance data.
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Data Visualization: Effective data visualization skills for time series and geospatial data. Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data.
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Understanding of data modeling/visualization, database design principles, and data governance practices. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis.
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Extensive experience with Power BI and data visualization concepts and tools. Extensive working experience in Azure DevOps - Databricks, Data Factory, Synapse. Professional certification in Microsoft Azure (Azure Cosmos DB Developer, Azure Data Engineer, Azure Database Administrator.
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Data visualization/analytics tools – at least one (1) of the following: Tableau, DataStudio, Looker, IBM Cognos or Business Objects; Rollout a regional data warehouse encompassing back office data from post trade system, and provide real time reporting & visualization capabilities.
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Proficiency in data visualization tools (i.e. Tableau, Power BI, Visier, Prism, etc.) You'll play a critical role supporting the development and automation of standard HR data reports, analyses, and dashboards leveraging report software from multiple systems.
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The data visualization specialist will report to ACE’s Deputy Chief of Party/Communications Director. · Data Visualization Specialist : ACE seeks data visualization specialists to create compelling graphics, charts, maps, and multimedia visuals based on data to enhance USAID’s print and digital content across EEI’s environmental sectors.
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Locate and repair issues with pressurized ang gravity sanitary system, including diagnosing and locating issues with gravity and pressurized connections and mainlines by utilization of CCTV equipment, excavation and visualization of sanitary infrastructure as problems arise.
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You will drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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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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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Experience with data visualization tools such as Tableau or Power BI. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark). Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment.
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visualization job Title: data analyst Company: Aya Corporate
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