Technical Cost Analyst, IT Cost Transparency & Optimization

Overview

This role supports IT Cost Transparency & Optimization within the organization’s IT Cost Transparency team. The Technical Cost Analyst will analyze infrastructure consumption, technology assets, financial data, and operational metrics to identify cost optimization opportunities, improve technology investment decisions, and support cost rationalization.

The position is remote in approved locations: Louisville, KY (Preferred) or Chicago, IL; Dallas, TX; Nashville, TN; New York, NY; Tampa, FL; Washington, DC.

Responsibilities

Infrastructure cost analysis

• Analyze infrastructure environments including storage, compute, network, cloud, backup, and platform services to identify cost reduction and optimization opportunities.
• Evaluate technology consumption, utilization, capacity, and growth trends using operational and financial datasets.
• Develop insights around asset utilization, underused resources, redundant technologies, and consolidation opportunities.
• Support infrastructure demand forecasting and cost modeling activities.

Data analysis & cost transparency

• Consolidate and analyze data from multiple sources, including:
  • CMDB platforms
  • Infrastructure monitoring tools
  • Cloud and platform usage reports
  • Purchase orders
  • Vendor contracts
  • Invoice data
  • Asset inventories
  • Financial systems
  • Architecture and engineering documentation
• Perform data validation, reconciliation, and trend analysis to ensure accuracy and consistency across sources.
• Create dashboards, reports, and analytical models to support technology cost transparency initiatives.

Business case development

• Develop financial and technical business cases supporting infrastructure optimization initiatives.
• Build hypotheses related to cost reduction, consumption efficiency, technology modernization, and rationalization opportunities.
• Quantify potential savings, cost avoidance, investment requirements, and operational impacts.
• Translate complex data findings into clear, concise communications for diverse audiences.
• Partner with infrastructure engineers, architects, service owners, procurement teams, and finance partners to understand technology environments and validate assumptions.
• Identify opportunities to improve cost management processes, reporting capabilities, and data quality.
• Contribute to automation and standardization of reporting, analytics, and business case development processes.

Data analysis & insights (additional expectations)

• Own, maintain, and collect data assets as part of functional production support.
• Collect, clean, and analyze data from multiple sources using tools like SQL, Excel, Python, or Tableau.
• Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics.

Technical communications (additional expectations)

• Assist with creation of communication and training materials.
• Translate complex data findings into clear, concise communications for diverse audiences.
• Develop and maintain digital asset libraries (e.g., multimedia content and documents) for easy retrieval and reuse.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Information Systems, Finance, Business Analytics, Engineering, Mathematics or a related field.
• 1–5 years of experience in one or more of the following areas:
  • IT infrastructure / Technology Operations
  • FinOps
  • IT asset management
  • Technology financial management
  • IT analytics
  • Technology consulting
• Strong analytical and problem-solving skills with the ability to interpret large datasets.
• Experience working with Microsoft Excel and data analysis tools.
• Experience creating reports, dashboards, and presentations for stakeholders.
• Strong written and verbal communication skills.
• Ability to translate technical information into business-focused recommendations.

Preferred Qualifications

• Familiarity with infrastructure technologies, including:
  • Storage platforms
  • Virtualization environments
  • Servers and compute platforms
  • Cloud services (AWS, Azure, GCP)
  • Network infrastructure
  • Backup and recovery technologies
• Demonstrated familiarity with AI concepts, including (but not limited to):
  • Programming (Python mainly)
  • Machine Learning basics
  • Data handling & preprocessing
• Experience with Power BI, Tableau, SQL, Snowflake, ServiceNow, or similar reporting and analytics platforms.
• Understanding of IT financial management, chargeback/showback, TBM, FinOps, or cost allocation methodologies (nice to have, not required).
• Exposure to vendor management, contract analysis, software licensing, or procurement processes (nice to have, not required).
• Knowledge of CMDB structures and IT asset management practices.
• Experience building financial models or business cases.

Skills & Tooling

• Proficiency in data analysis tools (SQL, Excel, Python, Tableau), statistical methods, and visualization software.
• Familiarity with AI-related workflows such as:
  • Clean code, debugging, version control (Git)
  • Machine learning fundamentals (supervised/unsupervised learning; regression/classification/clustering)
  • Model evaluation (accuracy, precision, recall, etc.)
  • Data cleaning, transformation, feature engineering, and working with structured + unstructured data
• Experience with:
  • SharePoint and PowerPoint
  • Microsoft Excel (data organization, formulas, basic analysis)
• Highly organized with strong attention to detail.

Compensation & Benefits

• Scheduled weekly hours: 40
• Pay range (starting base pay for full time at time of posting): $73,400 - $100,100 per year
• Eligible for a bonus incentive plan based on company and/or individual performance.

Benefits (summary)

• Medical, dental, and vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• Short-term and long-term disability
• Life insurance
• Other opportunities supporting whole-person well-being

Location & Work Requirements

• Remote in approved locations: Louisville, KY (Preferred) or Chicago, IL; Dallas, TX; Nashville, TN; New York, NY; Tampa, FL; Washington, DC.
• Work from a dedicated space with ongoing interruptions avoided to protect member PHI / HIPAA information.
• Internet requirements for remote work:
  • Minimum download speed: 25 Mbps
  • Minimum upload speed: 10 Mbps
  • Wireless, wired cable, or DSL connection is suggested
  • The organization may require an internet upgrade if needed for business requirements.

Travel

• Occasional travel to offices for training or meetings may be required.

Authorization to Work

• Must be authorized to work in the US without sponsorship. The employer will not provide work visa sponsorship for this position.