Business Analyst

About the role

Work location

• Calgary-based employees work in the office three days per week; remote candidates within Canada may be considered.
• Occasional client or team travel may be required.

Compensation and benefits

• Annual salary is CAD $85,000–$110,000, depending on qualifications and experience.
• Benefits include health and dental coverage, RRSP matching, professional development, and certification support.

Responsibilities

• Elicit, analyse, validate, document, and trace business requirements; facilitate client interviews, workshops, discovery, and process reviews.
• Model current and future processes; assess inefficiencies, change impacts, automation opportunities, business cases, and measurable outcomes.
• Define analytics requirements for dashboards, reporting, KPIs, data integration, and decision support; work with technical teams on specifications.
• Identify AI use cases, assess readiness and value, and support adoption of AI-enabled analytics and automation.
• Build client relationships, facilitate business and technical decisions, present findings, and identify opportunities for additional client value.
• Support planning, scope, estimates, project documentation, solution reviews, risk and dependency management, and proposals or statements of work.
• Prepare test scenarios and acceptance criteria, support UAT and defect resolution, and contribute to stakeholder readiness and change management.
• Prepare training and handover materials, facilitate training, and support post-implementation reviews.
• Improve consulting methods and documentation; use approved AI tools with confidentiality, privacy, security, and quality controls.

Required qualifications

• At least 3–5 years of business analysis experience; consulting, professional services, analytics, or enterprise technology experience is preferred.
• Strong requirements elicitation, documentation, stakeholder management, and workshop facilitation experience.
• Ability to model business processes with BPMN, Visio, or equivalent and produce requirements, user stories, and acceptance criteria.
• Understanding of analytics, reporting, KPIs, data flows, data quality, and business intelligence.
• Experience supporting technology implementations through requirements, testing, UAT, and deployment.
• Strong analysis, problem-solving, communication, prioritisation, ownership, and collaboration skills.
• Practical generative AI familiarity or ability to learn and responsibly apply AI to business analysis.
• Related post-secondary education or equivalent professional experience.

Preferred qualifications

• BI platforms such as Power BI or Spotfire; Microsoft Fabric, Power Platform, Power Apps, Power Automate, or Dynamics 365.
• Data platforms such as Denodo, Snowflake, or Databricks; SQL, data mapping, databases, modelling, governance, or data quality.
• AI, generative AI, automation, digital transformation, responsible AI, or analytics-modernisation project experience.
• Consulting, proposals, statements of work, estimates, business cases, enterprise clients, or data-intensive industry experience.
• Agile, Scrum, Waterfall, or hybrid methods; Azure DevOps, Jira, or Trello; IIBA or PMI-PBA certification.

Role context and success

About Cadeon