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AI Business Analyst

Job in Toronto, Ontario, C6A, Canada
Listing for: Ashling
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Business Systems/ Tech Analyst, Cloud Computing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Ashling is leading the charge in the Intelligent automation and AI revolution! We empower clients to enhance productivity and employee engagement by harnessing the power of AI and automation to support the delivery of intelligent automation solutions (e.g. RPA, AI Agents, Intelligent Document Processing, low-code apps). Our team utilizes lean agile principles to ensure our projects drive sustainable outcomes and true transformation.

Our rapidly expanding organization is making waves globally, establishing ourselves as the premier boutique in AI and Automation space. We are seeking life-long learners and servant-leaders who are passionate about innovation and the future of work. If this sounds like the perfect place for you, we would love to meet you!

Location:

We are looking for Consultants and Senior Consultants for hybrid work within commuting distance of Toronto or Montreal.

What You Will Do:

The AI Business Analyst is a dual technical and functional role combining traditional business analysis and low-code solutions development skillsets.

  • Serve as primary point of contact with assigned customers and liaise between customers and internal resources. Participate in key project management activities throughout the project, including stand-ups, status calls, and governance meetings.
  • Collaborate with Process Owners and Subject Matter Experts (SMEs) to define requirements of current-state business processes to support the design of the future-state AI and automation solutions, including Agentic.
  • Work with solution architects and development teams to ensure a robust and sustainable solution is delivered. AI Business Analysts may be responsible for building low-code solutions, although more complex components may be developed by dedicated developer teams.
  • Create and maintain delivery lifecycle documentation with internal team and customer collaboration where required. Drive client approvals for stage-gate compliance where required.
  • Support customers by providing answers, expertise, and insights as needed.
  • Evaluate business processes for automation and AI suitability and build supporting business cases.
  • Build benefit realization analytics and dashboards to quantify and report business impact of solutions.
  • Accountable for high client NPS (net promoter score) to ensure we deliver quality, excellence and value.
  • Demonstrate a strong motivation to learn new programs and technologies.
  • Mentor and support developer peers with both business analysis, technical development questions, and best practices.
What You Will Bring:
  • Bachelor’s Degree, preferably in Computer Science, Business/Information Technology, or related field.
  • Communication

    Skills:

    Strong verbal and written communication skills for interacting with both technical and non-technical stakeholders.
  • Project Management:
    Ability to manage tasks efficiently, prioritize workload, and meet deadlines.
  • Continuous Learning:
    Eagerness to learn and adopt new tools, technologies, and best practices in automation.
  • Analytical

    Skills:

    Excellent analytical and problem-solving skills with high attention to detail.
  • Generative AI and Prompt Engineering:
    Familiarity with Generative AI tools, including prompting best practices, structuring effective queries, and interacting with agentic or assistant-style applications (e.g., ChatGPT, Claude, Copilot).
  • Automation Tools:
    Experience with workflow automation programs such as UiPath, Power Platform, Blue Prism.
  • Analytics and Data Visualization:
    Experience using business intelligence and data visualization tools (e.g., Power BI, Tableau, Looker) to create dashboards.
  • Relational Database Fundamentals:
    High level understanding of SQL, CRUD commands, and database integrations with automation solutions is an advantage.
  • API Integration:
    Knowledge of RESTful and SOAP APIs for integrating automation solutions with external systems is an advantage.
  • Cloud Platforms:
    Familiarity with cloud environments (AWS, Azure, or Google Cloud) for deploying and managing solutions is an advantage.
Qualifications by level:
Level: Consultant
  • Experience:

    1–3 years in AI/Automation development
  • Technical

    Skills:

    Proficient in end-to‑end delivery within one AI/Automation platform;…
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