Senior Analytics & Visualization Operations Lead

Chenega Agile Real-Time Solutions; Springfield (VA); On-site; USD 159,000 - 160,000; Full time

Job summary

Chenega Agile Real-Time Solutions (CARS) seeks a Lead Analytics & Visualization Operations Engineer in Springfield, VA. You will lead the design, development, and sustainment of dashboards that provide mission-critical insights for NGA executives and leadership.

You will supervise a small team while performing hands-on development and data analysis to enable data-driven decisions. The ideal candidate combines analytics, visualization expertise, and IT service operations experience.

Qualifications

• Experience with analytics, visualization, and IT operations.
• Ability to lead or mentor technical teams.
• Proficiency with data collection, analysis, and reporting.
• Security clearance: TS/SCI with CI poly is preferred.

Responsibilities

• Supervise and mentor junior team members on analytics and operations support.
• Oversee workload distribution and ensure timely project delivery.
• Be primary contact for stakeholders for high-quality service delivery.
• Collect and analyze data to identify trends and insights.
• Provide real-time visualizations for IT service and operations management.
• Ensure data source accuracy and API/data content integration.
• Troubleshoot dashboards and visualization tools.
• Implement data security, governance, and compliance.

Skills

Analytics

Visualization

Data Analysis

SQL

Python

Education

High School Diploma/GED

Associate’s degree

Bachelor’s Degree

Tools

Grafana

Power BI

Tableau

Kibana

Job description

Chenega Agile Real-Time Solutions (CARS) seeks a Lead Analytics & Visualization Operations Engineer in Springfield, VA. You will lead the design, development, and sustainment of dashboards that provide mission-critical insights for NGA executives and leadership.

You will supervise a small team while performing hands-on development and data analysis to enable data-driven decisions. The ideal candidate combines analytics, visualization expertise, and IT service operations experience.