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The Principal Data & Visualization Analyst will develop, manage, and analyze the consumer data for use in crucial decision-making and growth initiatives for Topgolf Callaway Brands.
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This Data Visualization Analyst will pull, analyze and build data visualizations for business intelligence to allow critical changes to be seen and actioned within a discrete manufacturing environment.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake.
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Serving as the Senior Data Visualization Analyst means you bring experience in analytics and visual storytelling in the various business areas the HIE supports. Essential Duties and Responsibilities include the following: Use modern visualization tools such as Tableau and PowerBI to enhance business understanding through artistic, simple, and concise data story telling.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI. Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS.
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Develops and maintains a high level of skill in data analytics and visualization technologies applicable to Sharp HealthCare, such as, Alteryx, Tableau, Google Looker, SQL. Proficiency in data analytics and visualization software and tools such as Alteryx, Tableau, Google Looker, SQL or similar platforms, with the ability to apply them within the context of an audit and special projects.
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You have strong data science skills , including thorough experience with Python data packages, classical machine learning libraries and deep learning frameworks, and data visualization.
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8+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau. 10+ Experience programming using data analysis, data modeling, programming, and visualization tools such as Python, SQL, Power BI, Alteryx, and Tableau.
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A Glimpse into the Daily Routine of a Data Software Visualization Engineer. Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Writing and optimizing SQL queries and stored procedures Data collection, cleaning, transformation, and validation Database development and management Designing and maintaining data dashboards with specialized software (e.g., Power BI and Tableau) Data visualization techniques (e.g., charts, maps, and calendars) Performing basic and advanced statistical analyses of quantitative and qualitative data Using statistical analysis software (e.g., SPSS, Stata, SAS, R, etc.
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Applied technology experience in 3 or more of the following areas: data management (Alteryx, Power Query), data visualization (Power BI, Tableau), document management and workflow (SharePoint, Power Automate), enterprise software (ERP and consolidation systems), Tax provision/compliance software (ONESOURCE, Corptax), cloud platforms (AWS, Snowflake), RPA (UI Path, Blue Prism), APIs, VBA/Excel Macros, SQL.
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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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8+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server. 10+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server.
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data visualization jobs Title: data Company: American Homes Rent
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