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Position Summary:
The Data Visualization Administrator is responsible for administering, supporting, securing, and optimizing the enterprise Power BI environment. This role ensures the availability, performance, governance, and effective use of business intelligence platforms while partnering with business and technical teams to deliver reliable dashboards, reports, semantic models, and analytics solutions. The position also uses SQL, Python, and ETL knowledge to troubleshoot data issues, automate administrative activities, and support data integration across the organization.
Primary Duties and Responsibilities includes but are not limited to:
- Power BI Administration and Platform Management: Administer and maintain Power BI tenants, workspaces, capacities, gateways, dataflows, semantic models, and deployment pipelines. Monitor platform health, refresh schedules, usage, performance, and capacity to ensure a reliable and scalable analytics environment.
- Security, Governance, and Compliance: Implement and maintain role-based access, workspace standards, row-level security, sensitivity labels, sharing controls, audit monitoring, and data governance practices. Partner with Cybersecurity, Compliance, and data owners to ensure analytics assets meet enterprise policies and regulatory requirements.
- Dashboard and Report Support: Provide advanced technical support for Power BI dashboards, reports, semantic models, data refreshes, gateways, and connectivity. Troubleshoot complex performance, access, and data-quality issues and coordinate resolution with appropriate technical teams and subject matter experts.
- Data Integration and ETL Support: Use a strong understanding of SQL and ETL concepts to validate source-to-report data flows, analyze transformation logic, and support integration between source systems, data platforms, and Power BI. Experience with Informatica is considered an asset.
- Python Automation and Administration: Develop and maintain Python scripts to automate platform administration, monitoring, metadata collection, quality checks, and recurring support activities. Integrate with approved APIs and services where appropriate to improve operational efficiency.
- Performance Optimization and Standards: Establish and promote standards for workspace design, naming, dataset ownership, refresh scheduling, semantic modeli