AI Business Analyst

Role Overview

• Serve as the primary point of contact for assigned clients and act as a liaison between clients and internal resources.
• Participate in core project management activities throughout the engagement, including daily stand-ups, status calls, and governance meetings.
• Collaborate with process owners and subject matter experts (SMEs) to define current business process requirements in support of designing future AI and automation solutions, including agentic solutions.
• Work closely with solution architects and development teams to ensure the delivery of robust, maintainable solutions.
• AI business analysts may be asked to develop solutions using low-code platforms, although more complex components are typically developed by specialized teams.
• Create and maintain delivery lifecycle documentation in collaboration with internal teams and clients, as required.
• Obtain necessary client approvals during validation stage-gates.
• Support clients by providing answers, expertise, and recommendations as needed.
• Evaluate business processes for automation and AI applicability and prepare corresponding cost-benefit analyses.
• Implement benefit realization analyses and dashboards to quantify and communicate the business impact of deployed solutions.
• Be accountable for maintaining a high client satisfaction level (NPS – Net Promoter Score) to ensure quality, excellence, and delivered value.
• Demonstrate a strong motivation to learn new tools and technologies.
• Mentor and support developers on business analysis aspects, technical development questions, and best practices.

Requirements

• Bachelor’s degree, preferably in Computer Science, Information Technology Management, or a related field.
• Communication skills: Excellent verbal and written communication skills with both technical and non-technical stakeholders.
• Bilingual (French and English) – Requires regular interaction with English-speaking colleagues across the country.
• Project management: Ability to manage tasks effectively, prioritize work, and meet deadlines.
• Continuous learning: Strong willingness to learn and adopt new tools, technologies, and automation best practices.
• Analytical skills: Excellent analytical and problem-solving abilities with strong attention to detail.
• Programming and scripting: Knowledge of scripting or programming languages (e.g., Python, JavaScript, Java, C#, VBA) and an understanding of basic software development concepts (version control, SDLC, Agile).
• Generative AI and prompt engineering: Familiarity with generative AI tools, including best practices for prompt creation, structuring effective prompts, and interacting with agent
• or assistant-style applications (e.g., OpenAI GPT, Claude, Copilot).
• Automation tools: Experience with workflow automation platforms such as UiPath, Power Platform, Blue Prism.
• Data analytics and visualization: Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, Looker) for dashboard creation.
• Relational database basics: Good understanding of SQL, CRUD operations, and integrating databases with automation solutions (asset).
• API integration: Knowledge of RESTful and SOAP APIs for integrating automation solutions with external systems (asset).
• Cloud environments: Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for deploying and managing solutions (asset).

Tech Stack

• AWS
• Azure
• Cloud
• Flux
• Java
• JavaScript
• Python
• SDLC
• SOAP
• SQL
• Tableau
• VBA
• Vue.js

Benefits

• Continuous learning – In intelligent automation the pace of change is rapid. To support this evolution, Ashling has cultivated a culture that promotes continuous learning and ongoing skill development.
• Diversity of ideas, cultures, backgrounds and identities – We integrate diversity, equity and inclusion principles across the organization to drive innovation, creativity, and support our global growth.
• Constant innovation with leading-edge technologies – We offer a model of continuous performance improvement and the opportunity to work with the best automation technologies available in the market.
• Service-oriented leadership – We believe leadership exists to serve the organization, not the other way around.
• Collaborative culture – We work together as peers regardless of formal role or hierarchy.
• Entrepreneurial management spirit – We encourage everyone to propose ideas and be actively involved in bringing them to life.
• Financial transparency – Every team member has access to financial results, performance indicators and organizational goals to better understand their impact on collective success.
• Delivering superior service – We may not be the cheapest, but we deliver the best value to our clients.
• Data-driven decision making – We are a data-oriented organization, both internally and for our clients.
• A positive workplace – We promote a positive, rewarding and enjoyable day-to-day culture.
• Equity, diversity and inclusion: Ashling values diversity (gender, Indigenous communities, persons with disabilities, 2SLGBTQIA+ community) and provides accommodations upon request.