Technical Cost Analyst, IT Cost Transparency & Optimization

Overview

This role supports the organization’s IT Cost Transparency team by analyzing infrastructure consumption, technology assets, financial data, and operational metrics to identify opportunities for cost optimization, rationalization, and improved technology investment decisions.

The position is remote in approved locations, with preferred and other options:

• Preferred: Louisville, KY
• Other locations: 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.
• 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.
• Communicate findings clearly to diverse audiences and support business-focused recommendations.
• 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 Data & Communications Responsibilities

• Maintain ownership, maintenance, and collection responsibility for data assets in the functional production support process.
• Collect, clean, and analyze data from multiple sources using tools such as SQL, Excel, Python, or Tableau.
• Identify patterns, trends, and correlations to support descriptive, diagnostic, predictive, and prescriptive analytics.
• 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, 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.

Skills & Qualifications (Technical & Data)

• Proficiency with data analysis tools: SQL, Excel, Python, Tableau.
• Statistical methods and visualization software.
• Demonstrated familiarity with AI concepts and how they are applied in an organization, including (not limited to):
  • Python programming (primarily), NumPy, Pandas, SciPy
  • Clean code, debugging, version control (Git)
  • Machine learning basics: supervised & unsupervised learning; regression, classification, clustering
  • Model evaluation (e.g., accuracy, precision, recall)
  • Data handling & preprocessing: data cleaning, transformation, feature engineering, working with structured + unstructured data
• Experience with SharePoint and PowerPoint.
• Highly organized with strong attention to detail.

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
• 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.
• Demonstrated familiarity with AI concepts and how they are applied in an organization (not limited to the areas listed above).

Work Authorization

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

Work at Home Requirements

• For home or hybrid home/office employees: self-provided internet service must meet minimum requirements of 25 Mbps download and 10 Mbps upload.
• Wireless, wired cable, or DSL connection is suggested.
• In certain roles, minimum recommended internet speed may not be sufficient for business needs.
• The employer reserves the right to require an internet service upgrade if necessary.
• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel

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

Scheduled Weekly Hours

• 40

Compensation & Benefits

Pay Range

• $73,400 - $100,100 per year (starting base pay estimate for full-time 40 hours/week)
• This pay range may vary based on geographic location, skills, knowledge, experience, education, and certifications.

Bonus

• Eligible for a bonus incentive plan based on company and/or individual performance.

Benefits

• 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
• Additional opportunities for well-being and support for employees and their families

Equal Opportunity Employer

The employer is an equal opportunity employer and complies with applicable affirmative action obligations, including requirements related to Section 503 of the Rehabilitation Act and VEVRAA.