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Tableau Server Application Administrator; System Administrator

Job in McLean, Fairfax County, Virginia, USA
Listing for: Varmoda Tech
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below
Position: Tableau Server Application Administrator (System Administrator

Roles And Responsibilities

  • Administer and oversee Tableau Server in a high‑availability environment, ensuring stability, availability, and optimal performance.
  • Manage user/group setup, permissions, roles, and trusted ticket authentication for secure access.
  • Design and implement Tableau data extracts from multiple sources, particularly SAP Business Warehouse (BW) and PRISM.
  • Develop, maintain, and optimize Tableau dashboards and reports integrated within the SAP ecosystem, ensuring seamless data flow from SAP BW to Tableau.
  • Implement Tableau Server advanced features such as GIS mapping and VizQL for rich visualization.
  • Tune Tableau workbooks and data sources for performance optimization; implement visualization and performance best practices across the user community.
  • Collaborate with SAP functional teams to design analytical layers supporting RISE/HANA transitions and BI reporting.
  • Develop and maintain custom administrative views and network load tracking dashboards.
  • Coordinate with business users to gather requirements, design KPIs, and deliver self‑service BI solutions using Tableau.
  • Support Tableau Server upgrade, patching, and version migration efforts in coordination with security and infrastructure teams.
Qualifications
  • Bachelor's degree in computer science, Data Analytics, Information Technology, or a related field.
  • Experience:

    7 years in Tableau Server administration, BI development, and dashboarding.
  • Proven expertise in Tableau Desktop, Server, and Viewer administration.
  • Hands‑on experience in developing Tableau visualizations integrated with SAP BW and SAP BOBJ data sources.
  • Strong SQL and data modeling skills, including query optimization and data extract performance tuning.
  • Knowledge of data warehousing concepts, ETL processes, and BI architecture.
  • Experience working with DOI.
  • Familiarity with GIS data integration and enterprise‑level dashboarding best practices.
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