7 Data Visualization Jobs in Federal Territory - September 2026 - High Salaries

Showing 7 jobs results for "data visualization" in Federal Territory
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KL City

  • Develop and maintain documentation and training materials to support end-users in understanding the data visualizations.
  • Work with data engineers and data analysts to ensure efficient and optimized data models and data sources for the data visualizations.
  • Manage multiple projects and priorities simultaneously and ensure timely delivery of high-quality data visualizations. ...
Posted
17 days ago

KL City

  • Conduct unit testing of the solution and peer review of the solution
  • Support integration and user acceptance testing
  • Fix defects and deploy to Production ...
Posted
16 days ago

KL City

  • Provide primary support for application releases into production, including preparing deployment plans and schedules.
  • Intermediate proficiency in Tableau Desktop.
  • Intermediate proficiency in Tableau. ...
Posted
a day ago

KL City

  • Develop and optimize data models using star/snowflake schema methodologies
  • Create complex DAX measures, calculated columns, and KPIs
  • Perform data extraction, transformation, and loading (ETL) using Power Query ...
Posted
5 days ago

KL City

  • Provide primary support for application releases into production, including preparing deployment plans and schedules.
  • Intermediate proficiency in Tableau Desktop.
  • Intermediate proficiency in Tableau. ...
Posted
15 days ago

KL City

  • Implement Row-Level Security (RLS) and manage Power BI Workspace Security & RBAC.
  • Integrate and model data from SQL Server and Oracle sources.
  • Work closely with data engineering and business teams to define Common Data Models (CDM) / Enterprise Data Models (EDM). ...
Posted
17 days ago

KL City

  • Provide advanced support and troubleshooting for data pipelines, ETL/ELT processes, and data integration workflows across cloud and on-prem environments.
  • Enhance and mentor others in organizational, communication, and analytical skills, fostering a collaborative and data-driven engineering culture.
  • Gain exposure to the end-to-end machine learning lifecycle, from experimentation to production, by enabling robust and scalable data access for model training and inference. ...
Posted
7 days ago

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