Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 3 Month(s)
No Travel Required
Skills
ux design
azure
grafana
dashboard
iot
data
design
Job Details
Role Title: UX Designer Azure Managed Grafana
Duration: 3 months with possibility to extend
Preferred Location: Remote working CT time zone
Role Description:
We are seeking a UX Designer to lead the design and configuration of Azure Managed Grafana UX tool for visualization of industrial data stored in Azure Data Explorer. This role focuses on building intuitive and powerful user interfaces that support both predictive maintenance and Industrial IoT (IIoT) use cases across multiple industrial sites and assets. The ideal candidate combines strong UX principles with hands-on Grafana expertise.
- Design, configure, and deploy Grafana dashboards that visualize telemetry data, machine learning predictions, and asset performance.
- Create in Grafana navigable UI structures (menus, filters) to support plant, site, and asset-level navigation.
- Users should be able to select different time ranges, drill down into specific time windows, and add or remove data points of interest to tailor the dashboard views to their operational needs.
- Setup Grafana for automated reports that highlight key indicators and trends, ensuring actionable information is delivered to users on a regular basis.
- Set up Grafana alerting mechanisms and email notifications to proactively inform stakeholders of anomalies or critical events and instantly point to the relevant data.
- Participate in user workshops and feedback sessions to refine dashboards and ensure they meet operational needs.
- Ensure all visualizations and configurations are version-controlled, backed up, and well-documented for maintainability.
- Assist in user training and support to ensure effective interpretation and usage of dashboards and reports.
Requirements:
Azure Managed Grafana
- UX/UI Design for Industrial Applications
- Data Visualization
- Version Control & Documentation
Preferred Qualifications:
- Experience in manufacturing environments, particularly with IIoT or asset-intensive operations.
- Understanding of Azure Data Explorer and Kusto queries.
- Familiarity with AI/ML-driven use cases for operational performance and reliability.
Understanding of version control principles and structured backup practices
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