Senior Infrastructure Analyst

Role Overview

• Apply prior infrastructure engineering experience to accurately interpret platform, service‑level, and operational data
• Analyze complex data from enterprise and infrastructure‑adjacent sources to identify trends, risks, opportunities, and actionable insights
• Lead and contribute to large‑scale data and analytics initiatives by acquiring, integrating, and analyzing data across multiple systems
• Design, build, and maintain Power BI dashboards that provide visibility into infrastructure‑adjacent metrics, service health, and platform usage
• Translate complex technical and operational data into clear, management‑ready insights and recommendations
• Collaborate with systems engineers, cloud teams, data engineers, analysts, and business partners to deliver a holistic view of technology performance
• Monitor outcomes of implemented recommendations and provide follow‑up analysis and data‑driven adjustments
• Identify patterns or anomalies that may indicate infrastructure, platform, or data pipeline issues, and partner with responsible teams to investigate
• Ensure all data acquisition, analysis, and reporting comply with enterprise security, governance, and regulatory standards

Requirements

• Bachelor’s degree, or equivalent work experience
• At least 5 years of experience within a total information technology (IT) environment
• At least 10 years of experience with the design, development and support of technology infrastructure
• Advanced proficiency with SQL, Python, Excel, and Power BI for data querying, transformation, validation, reconciliation, and advanced analytics
• Advanced analytical skills with the ability to synthesize complex, multi-system and infrastructure-adjacent data into actionable insights
• Strong working knowledge of cloud, hybrid, and on-premises infrastructure ecosystems, including major platforms (e.g., Azure, AWS) and how to compute, storage, networking, APIs, and platform services generate and emit data
• Experience with data platforms, ETL / ELT processes, analytics platforms, and big-data environments, and how they integrate with underlying infrastructure
• Understanding platform observability concepts (e.g., performance metrics, capacity indicators, reliability signals, and service-health data) and how they are used analytically
• Understanding of process diagrams, process materials, data catalogs, data quality, governance, security, and compliance in regulated enterprise environments
• Experience using GitHub or version control tools in support of analytics, automation, or engineering-adjacent workflows
• Exposure to or exploration of AI-enabled analytics, automation, or intelligent agent capabilities
• Experience aligning infrastructure and platform insights to enterprise or technology strategy
• Strong comfort using data to support storytelling, decision support, and executive-level communication
• Demonstrated project or initiative leadership skills in cross-functional, technology-aligned environments
• Strong interpersonal, verbal, and written communication skills

Tech Stack

• AWS
• Azure
• Cloud
• ETL
• Python
• SQL

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law