Technical Cost Analyst, IT Cost Transparency & Optimization

Overview

This role supports IT Cost Transparency & Optimization within the IT cost transparency team. Responsibilities focus on analyzing infrastructure consumption, technology assets, financial data, and operational metrics to identify opportunities for cost optimization, rationalization, and improved technology investment decisions.

Remote work is available in approved locations, including:

• Louisville, KY (Preferred)
• Chicago, IL
• Dallas, TX
• Nashville, TN
• New York, NY
• Tampa, FL
• Washington, DC

Responsibilities

Infrastructure Cost Analysis

• Analyze infrastructure environments (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.
• Identify insights related to 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.

Additional Functional Responsibilities

• Own, maintain, and collect responsibility for data assets in the functional production support process.
• Collect, clean, and analyze data from multiple sources using SQL, Excel, Python, or Tableau.
• Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics.

Technical Communications

• Assist with creation of branding, 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:
  • 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 such as:
  • Storage platforms
  • Virtualization environments
  • Servers and compute platforms
  • Cloud services (AWS, Azure, GCP)
  • Network infrastructure
  • Backup and recovery technologies
• Demonstrated familiarity with AI concepts and how they are applied in an organization, including:
  • Programming (Python mainly), NumPy, Pandas, SciPy
  • Clean code, debugging, version control (Git)
  • Machine Learning basics (supervised & unsupervised learning): regression, classification, clustering
  • Model evaluation (accuracy, precision, recall, etc.)
  • Data handling & preprocessing: data cleaning, transformation, feature engineering; working with structured + unstructured data
• 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).
• Exposure to vendor management, contract analysis, software licensing, or procurement processes (nice to have).
• Knowledge of CMDB structures and IT asset management practices.
• Experience building financial models or business cases.

Compensation & Benefits

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

Benefits include medical, dental and vision; 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; and additional opportunities.

Location & Work Requirements

• Remote in approved locations (listed in Overview).
• Work authorization: You must be authorized to work in the US without sponsorship (work visa sponsorship will not be provided for this position).

Home Internet Requirements (for remote/home or hybrid home/office employees)

• Minimum internet speeds required:
  • Download: 25 Mbps
  • Upload: 10 Mbps
• Wireless, wired cable, or DSL connection is suggested.
• A dedicated space with minimal ongoing interruptions is required to protect member PHI/HIPAA information.

Travel

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

Equal Opportunity Employer

The employer is an Equal Opportunity Employer and does not discriminate based on protected characteristics. The employer also takes affirmative action in accordance with applicable laws.