The Senior Network Data Analyst contributes to the intersection of business intelligence, telemetry visualization, and modern AI, developing generative, conversational, and agentic AI capabilities for telemetry platforms.
Responsibilities
Design and deliver end-to-end telemetry analytics and interactive dashboards combining network flow, metrics, logs, traces, and business context.
Identify, mine, and normalize network data sources (NetFlow, SNMP, syslog, packet captures, telemetry APIs) and integrate them into real-time pipelines.
Develop agentic AI agents and AIOps components to analyze streaming telemetry and detect anomalies.
Embed AI-driven insights into visualizations and web applications for various stakeholders.
Build reusable visualization components, templates, and libraries for routers, switches, firewalls, wireless, SD-WAN, and core application observability.
Requirements
4-year college degree majoring in Computer Science
Data Visualization Analyst responsible for designing telemetry analytics, dashboards, and AI-driven insights within a global healthcare biopharma environment.
Responsibilities
Design and deliver end-to-end telemetry analytics and interactive dashboards
Identify, mine and normalize network data sources
Develop agentic AI agents and AIOps components
Embed AI-driven insights into visualizations and web applications
Build reusable visualization components, templates, and libraries
Requirements
Nice to have: Associate-level developer certifications (AWS, Python, SQL)
Nice to have: Integrating agents with ITSM/incident platforms (ServiceNow)
Lead technical architecture for network observability and AI initiatives within a global healthcare biopharma organization.
Responsibilities
Architect unified dashboard platforms that convert complex telemetry into simplified, AI-driven visual scores for leadership and operational teams.
Design, build and deliver end-to-end telemetry analytics and interactive dashboards that combine network flow, metrics, logs, traces, and business context to reduce time-to-insight and time-to-resolution.
Design, build and deliver high-throughput telemetry pipelines that correlate multi-vendor syslog, SNMP, streaming telemetry, and VPC flow logs into cohesive telemetry lakes.
Develop agentic AI agents and AIOps components that continuously analyze streaming telemetry to detect anomalies and surface proactive recommendations to stakeholders.
Embed AI-driven insights into visualizations and web applications so executives, product leaders, SREs and network engineers receive role-appropriate, actionable views.
Requirements
Bachelor's degree in Computer Science, Telecommunications, Business Intelligence, or similar
Lead the design, implementation, optimization, and support of CLA's enterprise network infrastructure across office, datacenter, and cloud environments
Compensation
The compensation range for this position in Minnesota is: $89,000.00 – $153,000.00
Responsibilities
Lead the design, implementation, optimization, and support of CLA's enterprise network infrastructure across office, datacenter, and cloud environments
Provide technical leadership for routing, switching, wireless, SD-WAN, and network security initiatives
Administer and support Cisco networking technologies including Catalyst, Nexus, Meraki, and related platforms
Design and manage enterprise WAN, LAN, WLAN, VPN, and internet connectivity solutions
Support and optimize Microsoft Azure networking services, including ExpressRoute, Virtual Networks (VNets), Virtual WAN, DNS, and hybrid cloud connectivity
Linux Infrastructure Operations Engineer supporting on-premises, AWS, and Kubernetes environments with 50% operational support and 50% platform engineering.
Compensation
The pay range for this position is $50.00 - $60.00/hr.
Responsibilities
Serve as the first point of contact for Linux infrastructure incidents
Monitor dashboards and alerting platforms
Troubleshoot Linux systems through log analysis
Perform operating system upgrades, patching, migrations
Observability DevOps Engineer optimizing and automating deployment and management of platform and cloud-based services within Roche’s Digital Operations and Reliability team.
Responsibilities
Automate Software Delivery: design, implement, and maintain CI/CD pipelines
Manage Infrastructure as Code: deploy and manage application infrastructure using IaC principles
Embed Observability Frameworks: implement monitoring solutions such as Grafana Cloud
Integrate Lifecycle Security: adopt DevSecOps practices and infrastructure hardening
Collaborate Globally: partner with architects and developers to translate product strategies
Requirements
Technical degree or equivalent practical experience
Infrastructure Specialist responsible for designing, implementing, and supporting secure, resilient, and automated infrastructure services across on-premises, cloud, and hybrid environments.
Responsibilities
Design, implement and support infrastructure services across on-premises, Microsoft Azure, AWS and hybrid environments
Maintain and continually improve infrastructure platforms supporting monitoring, backup, disaster recovery, cyber recovery and security patching
Develop and manage Infrastructure as Code and configuration automation using Terraform, Ansible and Git
Build and enhance monitoring and observability capabilities using metrics, logs, traces and service dependency information
Provide 3rd line support for infrastructure services and lead diagnosis and resolution of major incidents
Provide 24x7 monitoring, operations, and support services for global customers, troubleshooting network and system devices, managing incidents, and maintaining WAN links.
Responsibilities
Resolve Level 1 and 2 network and system support cases
Set client expectations and manage incidents via ServiceNow
Validate incidents and requests from a centralized management system
Perform initial troubleshooting and problem analysis
Follow change control processes for network device changes
Requirements
Bachelor’s degree in information technology, Computer Science, or a related field
Accountable for delivering a scalable, outcome-driven full stack observability architecture that improves operational efficiency, reduces alert noise, and produces actionable service intelligence across Managed Services.
Compensation
Salary Range: $110,000 - $145,000
Responsibilities
Owns the enterprise observability reference architecture with direct accountability for platform effectiveness, signal quality, and operational impact across Managed Services.
Ensures platform capabilities deliver measurable improvements in monitoring effectiveness, operational efficiency, and service value.
Evaluates platform capabilities, limitations, and roadmap alignment against customer and Managed Service’s needs.
Ensures alerts entering ITSM are prioritized, correlated, and aligned to meaningful operational actions.
Ensures telemetry aligns to contractual obligations, SLA performance, and delivery reality.
Requirements
Bachelor’s degree in a related field (IT, Computer Science, Business Administration, etc.)
Nice to have: DevOps Institute - Observability Foundation Certification
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