Remote Systems Analyst Jobs
Remote systems analyst jobs are open across the U.S. at remote-first firms and distributed teams in sectors like software, healthcare, financial services, and government contracting. Employers hiring remotely right now include Adventist Health, Avalara, and FusionTek. Find a role that fits below and apply directly.
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Showing 5 of 223+ Remote Systems Analyst jobs
Role Summary
As Avalara scales its AI-first enterprise systems, workflows, and automation footprint, we must improve the clarity, structure, and quality of requirements that drive AI automation and business transformation across the organization. This role exists to translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation, agentic workflows, and transformation initiatives that improve solution quality, shorten delivery cycles, and accelerate measurable business value.
This BSA will operate at the intersection of business process design, AI automation strategy, and technical execution, working closely with AI Automation Engineers in an environment centered on n8n, Boomi, APIs, event-driven systems, and AI-enabled orchestration to ensure initiatives are scalable, governed, measurable, and aligned to business outcomes.
How This Role Elevates Avalara
This role strengthens Avalara’s automation and transformation ecosystem by improving requirement quality, delivery predictability, and AI automation clarity.
This Business Systems Analyst - AI Automation ,will:
Reduce rework and cycle time by translating business needs into structured, implementation-ready AI automation requirements
Improve delivery predictability by defining clear workflow boundaries, system interactions, human-in-the-loop controls, and acceptance criteria
Enhance employee and operational outcomes by ensuring AI automations are designed with governance, traceability, scalability, and measurable impact in mind
Advance Avalara’s AI-first execution by identifying high-value transformation and agentic automation opportunities across business workflows
Bar Raiser Expectations
As a Bar Raiser, this role is expected to elevate automation maturity across the organization by:
Holding high standards for clarity, documentation quality, traceability, and business process rigor
Using structured analysis and data to reduce ambiguity, automation failure points, and downstream rework
Challenging unclear requirements early to protect delivery timelines and automation quality
Sharing best practices and improving requirement documentation standards for AI automation and transformation initiatives
Leaving processes, playbooks, and requirement frameworks stronger and more scalable than they were before
Requirements Discovery & Process Analysis
Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream rework
Map and document current-state and future-state processes, identifying transformation opportunities where AI, agents, or workflow automation can improve speed, quality, or scale
Break down complex workflows into structured, implementable use cases, including decision points, exceptions, approvals, and human-in-the-loop steps
Identify risks, edge cases, control requirements, and system dependencies before automation development begins
Create and manage JIRA tickets with detailed requirement descriptions, acceptance criteria, dependencies, and traceability to ensure smooth development, tracking, and delivery of AI automation initiatives
AI Integration-Focused Solution Definition
Translate business needs into clear functional and technical requirements for AI-enabled workflows, agents, and transformation solutions
Define system interactions, API touchpoints, event triggers, workflow boundaries, and handoffs between deterministic automation and AI decisioning
Create detailed user stories, business rules, and acceptance criteria that are implementation-ready for AI Automation Engineers
Collaborate with architects and AI Automation Engineers to validate feasibility, governance, and solution design before build begins
Data & Interface Analysis
Analyze data flows across systems and document transformation, validation, and context requirements needed for AI automation outcomes
Define field-level mappings, prompt and input requirements, exception scenarios, auditability needs, and reconciliation rules to protect data integrity and trust
Support A2A, MCP, API contract reviews and ensure traceability between business objectives, workflow behavior, and technical implementation
Delivery Enablement & Collaboration
Participate in backlog grooming and sprint planning to maintain requirement clarity for AI automation and transformation initiatives
Support testing and UAT validation to ensure AI-enabled workflows behave as intended across normal, exception, and human-review scenarios
Facilitate alignment between stakeholders, AI Automation Engineers, architects, and delivery teams
Maintain structured documentation to support auditability, governance, adoption, and long-term maintainability
Governance & Continuous Improvement
Standardize requirement templates and documentation practices for AI automation, agents, and transformation initiatives
Support change management for workflow, model, prompt, and automation enhancements
Improve requirement quality and automation maturity across the organization
Drive clarity that accelerates responsible AI adoption and improves overall delivery predictability
12-Month Success Signals
Within the first 12 months, this role will have:
Reduced automation rework and requirement-related defects
Improved implementation readiness of AI automation stories, business rules, and acceptance criteria
Established standardized documentation templates adopted across AI automation and transformation initiatives
Increased automation throughput by reducing requirement ambiguity and improving stakeholder alignment
Improved traceability between business objectives and delivered AI automation outcomes
AI Expectations
As an AI-first company, Avalara expects this role to embed AI into requirements analysis, process transformation, and automation strategy.
This role will:
Identify AI and automation opportunities within business workflows that improve efficiency, decision quality, and scalability
Use AI tools to accelerate documentation drafting, process analysis, impact assessment, and requirement validation
Ensure AI-enabled workflows, agents, and human-in-the-loop controls are documented with clear governance and traceability
Partner with AI Automation Engineers and architects to define measurable AI-driven outcomes, evaluation criteria, and business impact
Apply AI responsibly with attention to data privacy, security, compliance, and operational risk
Demonstrating applied AI impact, not just tool familiarity is required.
What You Bring
B.S. in Computer Science or Engineering (required)
5+ years of experience as a Business Systems Analyst or Techno-Functional Analyst
Experience working with AI automation, enterprise workflows, system integrations, APIs, n8n, Boomi, or automation platforms
Strong understanding of Agentic AI, REST APIs, webhooks, JSON, data mapping concepts, and workflow orchestration patterns
Experience documenting requirements for automation, AI-enabled workflows, system interactions, and business process transformations
Ability to interpret technical design documents and collaborate effectively with AI Automation Engineers, architects, and cross-functional stakeholders
Strong analytical and structured problem-solving skills
Excellent communication skills across business and technical audiences
Pay Range Details
The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.
- Colorado: $135,000 - $216,000 annually
- Washington: $145,000 - $232,000 annually
- California: $152,600 - $244,000 annually
- NYC: $152,600 - $244,000 annually
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations.
This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee’s role.
- You’ll bring experience using AI and AI-related technologies, ready to thrive here.
- You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
- You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara:
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
Role Summary
As Avalara scales its AI-first enterprise systems, workflows, and automation footprint, we must improve the clarity, structure, and quality of requirements that drive AI automation and business transformation across the organization. This role exists to translate complex business workflows into well-defined, implementation-ready requirements for AI-enabled automation, agentic workflows, and transformation initiatives that improve solution quality, shorten delivery cycles, and accelerate measurable business value.
This BSA will operate at the intersection of business process design, AI automation strategy, and technical execution, working closely with AI Automation Engineers in an environment centered on n8n, Boomi, APIs, event-driven systems, and AI-enabled orchestration to ensure initiatives are scalable, governed, measurable, and aligned to business outcomes.
How This Role Elevates Avalara
This role strengthens Avalara’s automation and transformation ecosystem by improving requirement quality, delivery predictability, and AI automation clarity.
This Business Systems Analyst - AI Automation ,will:
Reduce rework and cycle time by translating business needs into structured, implementation-ready AI automation requirements
Improve delivery predictability by defining clear workflow boundaries, system interactions, human-in-the-loop controls, and acceptance criteria
Enhance employee and operational outcomes by ensuring AI automations are designed with governance, traceability, scalability, and measurable impact in mind
Advance Avalara’s AI-first execution by identifying high-value transformation and agentic automation opportunities across business workflows
Bar Raiser Expectations
As a Bar Raiser, this role is expected to elevate automation maturity across the organization by:
Holding high standards for clarity, documentation quality, traceability, and business process rigor
Using structured analysis and data to reduce ambiguity, automation failure points, and downstream rework
Challenging unclear requirements early to protect delivery timelines and automation quality
Sharing best practices and improving requirement documentation standards for AI automation and transformation initiatives
Leaving processes, playbooks, and requirement frameworks stronger and more scalable than they were before
Requirements Discovery & Process Analysis
Partner with stakeholders and AI Automation Engineers to gather, analyze, and document AI automation requirements that reduce ambiguity and downstream rework
Map and document current-state and future-state processes, identifying transformation opportunities where AI, agents, or workflow automation can improve speed, quality, or scale
Break down complex workflows into structured, implementable use cases, including decision points, exceptions, approvals, and human-in-the-loop steps
Identify risks, edge cases, control requirements, and system dependencies before automation development begins
Create and manage JIRA tickets with detailed requirement descriptions, acceptance criteria, dependencies, and traceability to ensure smooth development, tracking, and delivery of AI automation initiatives
AI Integration-Focused Solution Definition
Translate business needs into clear functional and technical requirements for AI-enabled workflows, agents, and transformation solutions
Define system interactions, API touchpoints, event triggers, workflow boundaries, and handoffs between deterministic automation and AI decisioning
Create detailed user stories, business rules, and acceptance criteria that are implementation-ready for AI Automation Engineers
Collaborate with architects and AI Automation Engineers to validate feasibility, governance, and solution design before build begins
Data & Interface Analysis
Analyze data flows across systems and document transformation, validation, and context requirements needed for AI automation outcomes
Define field-level mappings, prompt and input requirements, exception scenarios, auditability needs, and reconciliation rules to protect data integrity and trust
Support A2A, MCP, API contract reviews and ensure traceability between business objectives, workflow behavior, and technical implementation
Delivery Enablement & Collaboration
Participate in backlog grooming and sprint planning to maintain requirement clarity for AI automation and transformation initiatives
Support testing and UAT validation to ensure AI-enabled workflows behave as intended across normal, exception, and human-review scenarios
Facilitate alignment between stakeholders, AI Automation Engineers, architects, and delivery teams
Maintain structured documentation to support auditability, governance, adoption, and long-term maintainability
Governance & Continuous Improvement
Standardize requirement templates and documentation practices for AI automation, agents, and transformation initiatives
Support change management for workflow, model, prompt, and automation enhancements
Improve requirement quality and automation maturity across the organization
Drive clarity that accelerates responsible AI adoption and improves overall delivery predictability
12-Month Success Signals
Within the first 12 months, this role will have:
Reduced automation rework and requirement-related defects
Improved implementation readiness of AI automation stories, business rules, and acceptance criteria
Established standardized documentation templates adopted across AI automation and transformation initiatives
Increased automation throughput by reducing requirement ambiguity and improving stakeholder alignment
Improved traceability between business objectives and delivered AI automation outcomes
AI Expectations
As an AI-first company, Avalara expects this role to embed AI into requirements analysis, process transformation, and automation strategy.
This role will:
Identify AI and automation opportunities within business workflows that improve efficiency, decision quality, and scalability
Use AI tools to accelerate documentation drafting, process analysis, impact assessment, and requirement validation
Ensure AI-enabled workflows, agents, and human-in-the-loop controls are documented with clear governance and traceability
Partner with AI Automation Engineers and architects to define measurable AI-driven outcomes, evaluation criteria, and business impact
Apply AI responsibly with attention to data privacy, security, compliance, and operational risk
Demonstrating applied AI impact, not just tool familiarity is required.
What You Bring
B.S. in Computer Science or Engineering (required)
5+ years of experience as a Business Systems Analyst or Techno-Functional Analyst
Experience working with AI automation, enterprise workflows, system integrations, APIs, n8n, Boomi, or automation platforms
Strong understanding of Agentic AI, REST APIs, webhooks, JSON, data mapping concepts, and workflow orchestration patterns
Experience documenting requirements for automation, AI-enabled workflows, system interactions, and business process transformations
Ability to interpret technical design documents and collaborate effectively with AI Automation Engineers, architects, and cross-functional stakeholders
Strong analytical and structured problem-solving skills
Excellent communication skills across business and technical audiences
Pay Range Details
The base pay range(s) below are provided in compliance with state specific laws. Pay ranges may be different in other locations.
- Colorado: $135,000 - $216,000 annually
- Washington: $145,000 - $232,000 annually
- California: $152,600 - $244,000 annually
- NYC: $152,600 - $244,000 annually
The pay range above is the general base pay range for a successful candidate in the state listed. The successful candidate’s actual salary/wage may be based on various factors, such as geographic location, candidate experience and qualifications, as well as market and business considerations.
This role is eligible for an annual bonus based on individual and company performance, depending on the terms of the applicable plan and the employee’s role.
- You’ll bring experience using AI and AI-related technologies, ready to thrive here.
- You’ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
- You’ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive culture and diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
What You Need To Know About Avalara:
We’ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we’re not slowing down until we’ve achieved our mission - to be part of every transaction in the world.
We’re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we’ve designed, that empowers our people to win. We’ve been different from day one. Join us, and your career will be too.
We’re An Equal Opportunity Employer
See All 223+ Remote Systems Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Systems Analyst JobsRemote Systems Analyst Job Market
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
- Technology & Software
- Insurance
- Retail
- Consumer Goods
What Employers Look For
The qualifications that appear most often in remote systems analyst jobs.
- Bachelor's degree in information systems, computer science, or a related field
- Experience documenting business requirements, user stories, or functional specifications
- Proficiency with SQL for querying and validating data across enterprise systems
- Familiarity with SDLC methodologies including Agile, Scrum, or waterfall
- Ability to create process flow diagrams using tools such as Visio or Lucidchart
- Experience with ERP, CRM, or other enterprise platform configuration and testing
Tips for Your Remote Systems Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote systems analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly. Remote postings fill faster than on-site roles, so applying within the first few days matters.
Build an async-ready work sample
Remote employers want proof you can clarify requirements and communicate decisions without real-time back-and-forth. Put a business requirements document, process-flow diagram, or gap analysis in a shared doc you can send with any application.
Signal fluency in distributed team tools
Remote systems analyst roles almost always involve Jira, Confluence, and collaborative diagramming tools like Lucidchart or Miro. Name the specific tools you've used and describe how you used them to move work forward on distributed teams.
Prepare for async-first remote interviews
Many remote employers use asynchronous screening steps like written case studies or recorded video responses before live interviews. Practice writing concise, structured answers to requirements-gathering or stakeholder-alignment scenarios under a time limit.
Remote Systems Analyst Jobs: Frequently Asked Questions
How do I get a remote systems analyst job?
Remote employers screen systems analysts harder for self-direction and written communication than in-office hiring does, because you'll clarify requirements, document decisions, and coordinate with developers and stakeholders almost entirely in writing. Companies hiring remotely tend to be remote-first SaaS firms, distributed consulting shops, and large enterprises with cross-functional product teams. Proficiency in tools like Jira, Confluence, and SQL, paired with a portfolio of documented requirements or process-improvement work, gives candidates a clear edge.
Which companies hire remote systems analysts?
Remote systems analyst roles are posted by Adventist Health, Avalara, and FusionTek and others right now, based on current remote listings on Migrate Mate as of September 2026. The companies hiring remotely most actively tend to be remote-first software firms, distributed financial services organizations, and large healthcare technology teams that run their systems work across multiple time zones.
Can you get a remote systems analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one without in-person coaching. Small SaaS companies and remote consulting firms are more likely to hire junior systems analysts than large enterprises. You can substitute experience with a portfolio of documented process analyses, requirements specs, or system-design exercises, along with demonstrated fluency in the async tools remote teams actually use.
Do you need a degree for remote systems analyst jobs?
Not always. Many remote employers list a degree as preferred rather than required, especially when a candidate can show documented systems work, certifications like CBAP or IIBA-AAC, or a history of delivering requirements and process improvements. Remote hiring often puts more weight on a practical work sample or technical screen than on formal credentials alone.
Which industries hire the most remote systems analysts?
The sectors hiring the most remote systems analysts are Healthcare & Medical Services, Technology & Software, and Insurance, based on current remote listings on Migrate Mate as of September 2026. Those industries rely heavily on distributed product and engineering teams, which makes remote systems analysts a natural fit for coordinating across functions without a central office.
See All 223+ Remote Systems Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Systems Analyst Jobs