Remote IT Analyst Jobs
Remote IT analyst jobs are open across the U.S. at remote-first firms, distributed enterprise teams, and technology-driven organizations in sectors like healthcare, finance, and software. Employers hiring remotely right now include UMC Health System, NTT DATA, and Benesch Law. Find a role that fits below and apply directly.
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Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet’s success is its people with the commitment to a better healthcare experience. When you join RadNet as a Senior IT Financial Analyst - Cloud, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.
You Will:
Financial Analysis, Business Metrics and Unit Economics
- Develop financial models that connect technology costs to relevant business and operational metrics, creating decision-quality unit economics for infrastructure, cloud platforms, data platforms, and technology-enabled products and services.
- Partner with business, operations, Finance, product, and technology teams to identify appropriate cost drivers for each workload, including imaging study volume, modality mix, site count, customer count, product usage, transaction volume, storage growth, compute consumption, and data retention.
- Develop and maintain metrics such as cost per imaging study, cost per site, cost per customer, cost per transaction, cost per terabyte, and other workload-specific measures.
- Analyze whether technology costs are scaling proportionally with business growth and identify changes in cost efficiency, operating leverage, gross margin, or cost to serve over time.
- Normalize costs against business volume so alternatives can be compared consistently using both absolute spend and unit economics.
Infrastructure Economics and Workload Placement
- Develop total cost of ownership and scenario models comparing on-premises infrastructure, colocation or hosted infrastructure, public cloud, SaaS, and hybrid deployment models.
- Model hardware acquisition and refresh cycles, maintenance and support, software licensing, datacenter and networking costs, cloud consumption, storage growth, contractual commitments, migration costs, and relevant operational support requirements.
- Partner with architecture, infrastructure, cloud, and platform teams to quantify the short-term and long-term financial tradeoffs of workload placement, modernization, migration, consolidation, and platform replacement decisions.
- Maintain reusable three- to five-year models that allow leadership to evaluate multiple growth, capacity, architecture, and investment scenarios.
- Track one-time transition or migration costs separately from ongoing run-rate costs and validate realized outcomes against approved business cases.
Budgeting, Forecasting and Leadership Reporting
- Develop driver-based monthly, quarterly, and annual forecasts that connect technology spend to imaging volume, customer and product growth, site onboarding, storage and data growth, utilization, architecture changes, and other measurable business drivers.
- Prepare budget-to-actual and forecast variance analysis, identify the business and technical causes of material changes, and communicate financial implications and recommended follow-up actions.
- Support annual capital and operating budget cycles, multi-year infrastructure planning, accruals, cloud invoice reconciliation, committed-spend tracking, and financial reporting.
- Create concise reporting for Finance and leadership covering run rate, forecast, variance, unit economics, cost drivers, savings opportunities, savings realization, risks, and decisions required.
- Build scenario models for acquisitions, new market or site expansion, imaging volume growth, customer adoption, product scaling, increased resiliency, retention changes, and infrastructure modernization.
- Work with IT Financial Ops Manager and Director to integrate Cloud reporting into other financial reporting and analytics related to software spend.
FinOps Operating Model, Governance and Tooling
- Partner with the existing RadNet Cloud Operations, Platform Engineering, and FinOps resources and the DeepHealth FinOps practice to mature a shared FinOps operating model.
- Participate in and help operationalize a recurring cross-functional FinOps committee across RadNet IT, DeepHealth, and Finance, including standardized reporting, decision tracking, ownership, and follow-up.
- Use and mature existing capabilities including CloudZero, Google Cloud Billing and billing exports, BigQuery financial datasets, Looker and Looker Studio cost and anomaly dashboards, and native Google Cloud cost-management tools.
- Partner with technical teams to improve and govern cost baselines, allocation methodologies, resource labels and tags, application ownership, environment classification, product or customer attribution, anomaly detection, and financial accountability.
- Support ongoing work with the Google Cloud FinOps practice and help translate recommendations into prioritized financial opportunities, measurable outcomes, and sustainable operating processes.
- Develop FinOps KPIs and maturity measures that show allocation coverage, forecast accuracy, anomaly response, optimization progress, commitment utilization, and realized financial outcomes.
Cloud Cost Analysis and Optimization Partnership
- Monitor, analyze, and report on Google Cloud consumption and spend across compute, Kubernetes, storage, networking, managed databases, BigQuery, and other material services.
- Identify, quantify, and prioritize optimization opportunities involving commitments, rightsizing, storage lifecycle and tiering, idle resource reclamation, architecture choices, and consumption patterns.
- Work with engineering and FinOps teams to validate optimization opportunities against performance, availability, resiliency, security, compliance, and operational requirements.
- Measure and report realized savings and cost avoidance using agreed financial baselines, while technical teams retain accountability for implementation decisions and infrastructure changes.
- Maintain showback and, where appropriate, chargeback models across business units, environments, applications, products, imaging sites, and customer accounts.
Platform, Product and Data Economics
- Model the cost and capacity implications of enterprise data and analytics platforms, including BigQuery storage, query and compute consumption, data pipelines, and related services.
- Develop cost-to-serve and unit-economic analysis for internal platforms and customer-facing healthcare technology products, including appropriate fixed and variable cost treatment.
- Partner with product, data, infrastructure, and engineering teams to forecast how platform costs change with adoption, customer growth, study volume, storage and retention, feature usage, and service-level requirements.
- Support product, pricing, investment, and margin discussions with transparent assumptions and repeatable financial models.
Vendor, Contract and Investment Analysis
- Analyze Google Cloud agreement terms, committed-spend structures, discounts, consumption risk, and financial performance; support renewal, commitment, and negotiation cycles.
- Support business cases and due diligence for acquisitions, new markets, site expansion, platform migrations, infrastructure refreshes, SaaS adoption, and other technology investments.
- Reconcile vendor, billing, and technical consumption data and partner with Finance to establish consistent definitions for cloud spend, infrastructure run rate, committed spend, forecast variance, and savings realization.
Cross Functional Partnership
- Serve as a financial translation layer between technical FinOps teams and Finance, connecting consumption data, cloud billing, forecasts, budgets, accruals, and executive reporting.
- Work closely with Cloud Operations, Platform Engineering, infrastructure, data engineering, product, Finance, procurement, and DeepHealth teams across shared priorities.
- Translate technical architecture and consumption decisions into clear financial narratives, options, assumptions, and recommendations for non-technical stakeholders and leadership.
- Support audit and compliance needs related to technology spend, data retention, allocation, and financial controls in a regulated healthcare environment.
If You Are:
- Passionate about patient care and exercise sound judgement and an ability to remain professional in all situations.
- You demonstrate effective and professional communication, interpersonal skills and respect with patients, guests & colleagues.
- You have a structured work-approach, understand complex problems and you are able to prioritize work in a fast-paced environment.
To Ensure Success in This Role, You Must Have:
- Bachelor's degree in Finance, Accounting, Information Systems, Business Analytics, or a related field; equivalent relevant experience will be considered.
- 4 to 7 years of experience in IT financial analysis, FinOps, technology business management, cloud cost management, or a closely related discipline.
- Demonstrated experience developing financial models, total cost of ownership comparisons, driver-based forecasts, unit economics, and budget variance analysis.
- Hands-on experience analyzing cloud billing and consumption data, preferably in Google Cloud, including billing exports, pricing, discount structures, and committed-spend concepts.
- Advanced Excel or equivalent financial-modeling skills and SQL proficiency for querying billing, usage, and operational data.
- Experience combining technology cost data with business or operational metrics to support planning and investment decisions.
- Strong written and verbal communication skills, including the ability to translate technical usage and architecture into clear financial narratives for Finance and leadership.
- Ability to work across technical, financial, product, and operational teams in a shared-accountability environment.
- Experience in healthcare IT, medical imaging, or health technology SaaS environments.
- Familiarity with RIS/PACS, DICOM workflows, imaging study volume, or medical imaging storage and retention requirements.
- Experience comparing on-premises and cloud infrastructure economics or supporting infrastructure migration and workload-placement decisions.
- Experience with SaaS or multi-tenant product cost modeling, cost to serve, gross-margin analysis, or customer and product unit economics.
- Experience with CloudZero, Google Cloud Billing, BigQuery, Looker or Looker Studio, Google Cloud Recommender or Active Assist, or comparable FinOps and analytics platforms.
- FinOps Certified Practitioner or comparable FinOps Foundation certification.
- Familiarity with healthcare security, privacy, audit, or data-retention considerations.
- Analytical rigor and disciplined management of assumptions, baselines, and data quality.
- Ability to connect technology consumption and cost to measurable business outcomes and operational demand.
- Financial storytelling that makes complex technical economics understandable and actionable.
- Strong partnership across Finance, cloud, platform, infrastructure, data, engineering, product, and leadership teams.
- Balanced judgment that considers cost alongside performance, resiliency, security, compliance, clinical availability, and business growth.
- Comfort working across RadNet and DeepHealth in a shared operating model with multiple stakeholders and accountability boundaries.
We Offer:
- Comprehensive Medical, Dental and Vision coverages.
- Health Savings Accounts with employer funding.
- Wellness dollars
- 401(k) Employer Match
- Free services at any of our imaging centers for you and your immediate family.
Pay Range: $115,000.00 - $125,000.00 per year
Artificial Intelligence; Advanced Technology; The very best in patient care. With decades of expertise, RadNet is Leading Radiology Forward. With dynamic cross-training and advancement opportunities in a team-focused environment, the core of RadNet’s success is its people with the commitment to a better healthcare experience. When you join RadNet as a Senior IT Financial Analyst - Cloud, you will be joining a dedicated team of professionals who deliver quality, value, and access in the 21st century and align all stakeholders- patients, providers, payors, and regulators to achieve the best clinical outcomes.
You Will:
Financial Analysis, Business Metrics and Unit Economics
- Develop financial models that connect technology costs to relevant business and operational metrics, creating decision-quality unit economics for infrastructure, cloud platforms, data platforms, and technology-enabled products and services.
- Partner with business, operations, Finance, product, and technology teams to identify appropriate cost drivers for each workload, including imaging study volume, modality mix, site count, customer count, product usage, transaction volume, storage growth, compute consumption, and data retention.
- Develop and maintain metrics such as cost per imaging study, cost per site, cost per customer, cost per transaction, cost per terabyte, and other workload-specific measures.
- Analyze whether technology costs are scaling proportionally with business growth and identify changes in cost efficiency, operating leverage, gross margin, or cost to serve over time.
- Normalize costs against business volume so alternatives can be compared consistently using both absolute spend and unit economics.
Infrastructure Economics and Workload Placement
- Develop total cost of ownership and scenario models comparing on-premises infrastructure, colocation or hosted infrastructure, public cloud, SaaS, and hybrid deployment models.
- Model hardware acquisition and refresh cycles, maintenance and support, software licensing, datacenter and networking costs, cloud consumption, storage growth, contractual commitments, migration costs, and relevant operational support requirements.
- Partner with architecture, infrastructure, cloud, and platform teams to quantify the short-term and long-term financial tradeoffs of workload placement, modernization, migration, consolidation, and platform replacement decisions.
- Maintain reusable three- to five-year models that allow leadership to evaluate multiple growth, capacity, architecture, and investment scenarios.
- Track one-time transition or migration costs separately from ongoing run-rate costs and validate realized outcomes against approved business cases.
Budgeting, Forecasting and Leadership Reporting
- Develop driver-based monthly, quarterly, and annual forecasts that connect technology spend to imaging volume, customer and product growth, site onboarding, storage and data growth, utilization, architecture changes, and other measurable business drivers.
- Prepare budget-to-actual and forecast variance analysis, identify the business and technical causes of material changes, and communicate financial implications and recommended follow-up actions.
- Support annual capital and operating budget cycles, multi-year infrastructure planning, accruals, cloud invoice reconciliation, committed-spend tracking, and financial reporting.
- Create concise reporting for Finance and leadership covering run rate, forecast, variance, unit economics, cost drivers, savings opportunities, savings realization, risks, and decisions required.
- Build scenario models for acquisitions, new market or site expansion, imaging volume growth, customer adoption, product scaling, increased resiliency, retention changes, and infrastructure modernization.
- Work with IT Financial Ops Manager and Director to integrate Cloud reporting into other financial reporting and analytics related to software spend.
FinOps Operating Model, Governance and Tooling
- Partner with the existing RadNet Cloud Operations, Platform Engineering, and FinOps resources and the DeepHealth FinOps practice to mature a shared FinOps operating model.
- Participate in and help operationalize a recurring cross-functional FinOps committee across RadNet IT, DeepHealth, and Finance, including standardized reporting, decision tracking, ownership, and follow-up.
- Use and mature existing capabilities including CloudZero, Google Cloud Billing and billing exports, BigQuery financial datasets, Looker and Looker Studio cost and anomaly dashboards, and native Google Cloud cost-management tools.
- Partner with technical teams to improve and govern cost baselines, allocation methodologies, resource labels and tags, application ownership, environment classification, product or customer attribution, anomaly detection, and financial accountability.
- Support ongoing work with the Google Cloud FinOps practice and help translate recommendations into prioritized financial opportunities, measurable outcomes, and sustainable operating processes.
- Develop FinOps KPIs and maturity measures that show allocation coverage, forecast accuracy, anomaly response, optimization progress, commitment utilization, and realized financial outcomes.
Cloud Cost Analysis and Optimization Partnership
- Monitor, analyze, and report on Google Cloud consumption and spend across compute, Kubernetes, storage, networking, managed databases, BigQuery, and other material services.
- Identify, quantify, and prioritize optimization opportunities involving commitments, rightsizing, storage lifecycle and tiering, idle resource reclamation, architecture choices, and consumption patterns.
- Work with engineering and FinOps teams to validate optimization opportunities against performance, availability, resiliency, security, compliance, and operational requirements.
- Measure and report realized savings and cost avoidance using agreed financial baselines, while technical teams retain accountability for implementation decisions and infrastructure changes.
- Maintain showback and, where appropriate, chargeback models across business units, environments, applications, products, imaging sites, and customer accounts.
Platform, Product and Data Economics
- Model the cost and capacity implications of enterprise data and analytics platforms, including BigQuery storage, query and compute consumption, data pipelines, and related services.
- Develop cost-to-serve and unit-economic analysis for internal platforms and customer-facing healthcare technology products, including appropriate fixed and variable cost treatment.
- Partner with product, data, infrastructure, and engineering teams to forecast how platform costs change with adoption, customer growth, study volume, storage and retention, feature usage, and service-level requirements.
- Support product, pricing, investment, and margin discussions with transparent assumptions and repeatable financial models.
Vendor, Contract and Investment Analysis
- Analyze Google Cloud agreement terms, committed-spend structures, discounts, consumption risk, and financial performance; support renewal, commitment, and negotiation cycles.
- Support business cases and due diligence for acquisitions, new markets, site expansion, platform migrations, infrastructure refreshes, SaaS adoption, and other technology investments.
- Reconcile vendor, billing, and technical consumption data and partner with Finance to establish consistent definitions for cloud spend, infrastructure run rate, committed spend, forecast variance, and savings realization.
Cross Functional Partnership
- Serve as a financial translation layer between technical FinOps teams and Finance, connecting consumption data, cloud billing, forecasts, budgets, accruals, and executive reporting.
- Work closely with Cloud Operations, Platform Engineering, infrastructure, data engineering, product, Finance, procurement, and DeepHealth teams across shared priorities.
- Translate technical architecture and consumption decisions into clear financial narratives, options, assumptions, and recommendations for non-technical stakeholders and leadership.
- Support audit and compliance needs related to technology spend, data retention, allocation, and financial controls in a regulated healthcare environment.
If You Are:
- Passionate about patient care and exercise sound judgement and an ability to remain professional in all situations.
- You demonstrate effective and professional communication, interpersonal skills and respect with patients, guests & colleagues.
- You have a structured work-approach, understand complex problems and you are able to prioritize work in a fast-paced environment.
To Ensure Success in This Role, You Must Have:
- Bachelor's degree in Finance, Accounting, Information Systems, Business Analytics, or a related field; equivalent relevant experience will be considered.
- 4 to 7 years of experience in IT financial analysis, FinOps, technology business management, cloud cost management, or a closely related discipline.
- Demonstrated experience developing financial models, total cost of ownership comparisons, driver-based forecasts, unit economics, and budget variance analysis.
- Hands-on experience analyzing cloud billing and consumption data, preferably in Google Cloud, including billing exports, pricing, discount structures, and committed-spend concepts.
- Advanced Excel or equivalent financial-modeling skills and SQL proficiency for querying billing, usage, and operational data.
- Experience combining technology cost data with business or operational metrics to support planning and investment decisions.
- Strong written and verbal communication skills, including the ability to translate technical usage and architecture into clear financial narratives for Finance and leadership.
- Ability to work across technical, financial, product, and operational teams in a shared-accountability environment.
- Experience in healthcare IT, medical imaging, or health technology SaaS environments.
- Familiarity with RIS/PACS, DICOM workflows, imaging study volume, or medical imaging storage and retention requirements.
- Experience comparing on-premises and cloud infrastructure economics or supporting infrastructure migration and workload-placement decisions.
- Experience with SaaS or multi-tenant product cost modeling, cost to serve, gross-margin analysis, or customer and product unit economics.
- Experience with CloudZero, Google Cloud Billing, BigQuery, Looker or Looker Studio, Google Cloud Recommender or Active Assist, or comparable FinOps and analytics platforms.
- FinOps Certified Practitioner or comparable FinOps Foundation certification.
- Familiarity with healthcare security, privacy, audit, or data-retention considerations.
- Analytical rigor and disciplined management of assumptions, baselines, and data quality.
- Ability to connect technology consumption and cost to measurable business outcomes and operational demand.
- Financial storytelling that makes complex technical economics understandable and actionable.
- Strong partnership across Finance, cloud, platform, infrastructure, data, engineering, product, and leadership teams.
- Balanced judgment that considers cost alongside performance, resiliency, security, compliance, clinical availability, and business growth.
- Comfort working across RadNet and DeepHealth in a shared operating model with multiple stakeholders and accountability boundaries.
We Offer:
- Comprehensive Medical, Dental and Vision coverages.
- Health Savings Accounts with employer funding.
- Wellness dollars
- 401(k) Employer Match
- Free services at any of our imaging centers for you and your immediate family.
Pay Range: $115,000.00 - $125,000.00 per year
See All 95 Remote IT Analyst Jobs
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Find Remote IT Analyst JobsRemote IT Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Insurance
- Manufacturing
What Employers Look For
The qualifications that appear most often in remote IT analyst jobs.
- Bachelor's degree in information technology, computer science, or a related field
- Proficiency in SQL for querying and analyzing structured data
- Experience with business intelligence tools such as Tableau, Power BI, or similar
- Familiarity with ITIL frameworks or IT service management processes
- Ability to gather and document business requirements from non-technical stakeholders
- Knowledge of systems integration, data flows, or enterprise application environments
Tips for Your Remote IT Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote it analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly before postings fill. Remote roles often close faster than on-site positions because the candidate pool is national.
Show your async communication skills upfront
Remote it analyst employers screen hard for written communication. Use your cover letter and any take-home assessments to demonstrate that you can document an incident, escalate a ticket, or summarize a system issue clearly in writing without back-and-forth clarification.
Build a documented home lab or project portfolio
Remote hiring managers can't watch you troubleshoot in person, so concrete evidence matters more. A home network you've configured, a monitoring dashboard you've built, or a write-up of an issue you diagnosed and resolved independently signals remote readiness better than a job title alone.
Match your tools list to the remote stack
Remote it analyst roles lean on specific platforms, including ITSM tools like ServiceNow or Jira, remote monitoring software, VPN management, and collaboration platforms. List every relevant tool you've used with real context, because remote employers filter on tool familiarity before the first screen call.
Remote IT Analyst Jobs: Frequently Asked Questions
How do I get a remote it analyst job?
Remote it analyst roles go to candidates who can demonstrate self-direction and clear written communication from day one, because there is no manager down the hall to course-correct. Employers screen for experience with remote collaboration tools, documented troubleshooting processes, and the ability to translate technical findings into written reports stakeholders can act on without a meeting. A home lab project, a process improvement you led independently, or a portfolio of documented analyses gives you a concrete edge over candidates with similar credentials.
Which companies hire remote it analysts?
Remote it analyst roles are posted by UMC Health System, NTT DATA, and Benesch Law and others right now, based on current remote listings on Migrate Mate as of September 2026. Remote-first software companies, distributed financial services firms, and healthcare technology organizations are among the most consistent hirers of it analysts in fully remote configurations.
Can you get a remote it analyst job with no experience?
Yes, but remote entry-level it analyst roles are harder to land than on-site equivalents because employers expect you to troubleshoot and self-manage with minimal hand-holding from the start. Remote-first SaaS companies and IT services firms occasionally hire entry-level analysts when candidates can show a home lab setup, completed a relevant certification like CompTIA A+ or Google IT Support, or a documented personal project that demonstrates independent problem-solving without a team around them.
Do you need a degree for remote it analyst jobs?
Not always. Many remote employers care more about demonstrated technical ability and communication skills than a four-year degree, particularly at smaller remote-first firms and IT consultancies. What consistently opens doors is proficiency with ITSM platforms, ticketing systems, and network monitoring tools, combined with a portfolio of real work or recognized certifications that show you can operate independently in a distributed environment.
Which industries hire the most remote it analysts?
Most remote it analyst openings sit in Technology & Software, Healthcare & Medical Services, and Insurance, per current remote listings on Migrate Mate as of September 2026. These sectors rely on distributed teams and complex internal systems that require ongoing analysis, troubleshooting, and documentation from analysts who don't need to be on-site to do the work effectively.
See All 95 Remote IT Analyst Jobs
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