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10 years of experience as data visualization analyst, business intelligence analyst or advanced report writer. Reporting to the Director of Business Intelligence, the Data Visualization Analyst is a key contributor to the Business Intelligence team responsible for the development of BI solutions through dashboards, reports, and data visualizations to answer key data and business questions for decision support.
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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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Create and optimize Looker data models and dashboards for reporting and visualization. This role will primarily focus on Looker and BigQuery, and the ideal candidate will have a strong background in data engineering, SQL, and data modeling.
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Experience with data visualization tools such as Tableau, Looker, or Power BI, and proficiency in data manipulation and visualization techniques. Stay current with industry trends, tools, and technologies related to data engineering, analytics, and visualization, and recommend and implement improvements to our data infrastructure and processes.
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Experience with data visualization tools like Tableau, Superset, Power BI, or Looker. Data Visualization: Create visually compelling and easily understandable data visualizations, reports, and dashboards using tools like Tableau, Superset, Power BI, or similar.
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Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
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Assist with preparation of materials and content to effectively demonstrate concepts and practices in and data visualization, virtual and augmented reality tools and methods for the NIH scientific community, and the public.
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Data Analysis Visualization: Tableau Desktop, Looker Studio. Big Data Processing: Hive, HBase, Spark. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena.
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Experience working with data visualization tools such as Tableau, Looker, or PowerBI. Data Analyst (Homes.com) Experience with cloud computing platforms and data warehouse solutions such as AWS, Azure, Snowflake, and Microsoft SQL Server.
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This role requires strong knowledge and understanding, preferably hands-on experience, of data management principles, reporting and visualization techniques, business process improvement, and Citizen IT tools, mainly Microsoft Power BI, as well as other tools such as SAS, Cognos, and Tableau, in designing, developing, and maintaining efficient solutions within SETF’s data 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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Python, SQL, Google Cloud Platform Cloud, Pandas, Numpy, Pyspark, Power BI, data visualization tools, FLASK, DataBricks, NLP, Machine Learning, Data Mining, Statistical analysis and Data Modeling.
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Develop, enhance, and troubleshoot complex data engineering, data Visualization and data integration capabilities using python, R, lambda, Glue, Redshift, EMR, QuickSight, SageMaker and related AWS data processing, Visualization services.
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Familiarity with data visualization tools such as Tableau, Microsoft Power BI, or similar platforms. Your expertise in utilizing Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders.
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Experience using data visualization tools such as Tableau and R Shiny to create user friendly visualizations required. Use data visualization tools including Tableau and/or R-Shiny to design, develop, and maintain user-friendly data visualizations and dashboards.
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data visualization jobs Title: data analyst Company: American Homes 4 Rent
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