We are looking for a Senior Data Visualization & Grafana Engineer to design and improve analytical and operational dashboards used by business and technical users.
Grafana is our primary visualization platform. While Grafana is traditionally associated with observability and system monitoring, we also use it to visualize operational data, trends, events, KPIs, historical information, and analytical insights.
The ideal candidate combines strong data visualization and analytical thinking with hands-on Grafana experience. We are open to candidates who have built sophisticated analytical solutions using other visualization platforms and have solid experience working with Grafana.
Key Responsibilities
Design, build, and enhance Grafana dashboards for operational and analytical use cases.
Work directly with business and technical stakeholders to understand requirements and translate them into meaningful visualizations.
Build dashboards for:
Real-time and historical trends
Operational KPIs and metrics
Time-series and event-based data
Alerts and exceptions
Summary and detailed analytical views
Filtering, navigation, and drilldowns
Improve existing dashboards with a focus on usability, performance, consistency, and user experience.
Determine the most effective visualization for different types of data and business questions.
Develop Grafana variables, transformations, calculations, queries, filters, links, and interactive dashboard capabilities.
Troubleshoot dashboard, query, data-source, and performance issues.
Work with engineering teams to understand underlying data models and improve how data is presented to users.
Develop reusable dashboard templates, visualization standards, and best practices.
Required Qualifications
Strong experience building data visualizations and analytical dashboards.
Hands-on experience developing dashboards in Grafana.
Experience with one or more additional visualization/analytics platforms such as Power BI, Tableau, Looker, Kibana, or similar tools.
Strong SQL and data-querying skills.
Experience working with time-series, event-based, operational, or high-volume datasets.
Good understanding of dashboard design, data visualization principles, and user experience.
Ability to take business requirements and independently translate them into effective dashboards.
Strong problem-solving skills with the ability to troubleshoot data and visualization issues.
