Business Analyst in Calgary

• Business Analyst
• Cadeon Inc. · Full-time, permanent
• Business Analyst - Data Analytics & AI Consulting
• Cadeon Inc. | Full-Time, Permanent

Location

Calgary, Alberta (Hybrid - 3 days per week in office). Remote candidates within Canada will be considered.

Reports to

VP, Client Services

Employment Type

Full-time, permanent, client-facing and billable consulting role

Salary Range

• $85,000-$110,000 CAD annually, depending on qualifications and experience
• About Cadeon

Founded in 2007, Cadeon Inc. is a North American data analytics and artificial intelligence consulting firm helping organizations transform complex information into actionable business decisions.

Our mission is

Innovation through Information .

We specialize in enterprise analytics, business intelligence, data modernization, data integration and virtualization, data governance, advanced analytics, and AI-enabled solutions.

Through strategic partnerships with leading technology providers, including Spotfire, Denodo, Microsoft, Snowflake, and Databricks, we help organizations unlock greater value from their existing technology investments.

Our clients include leading organizations across Oil & Gas, Energy, Manufacturing, Financial Services, and Technology throughout North America and internationally.

What differentiates Cadeon is our ability to connect business strategy with technical execution.

We don't simply implement technology.

We help clients improve operational performance, accelerate decision-making, and achieve measurable business outcomes.

Our team combines deep industry knowledge, senior technical expertise, and a commitment to delivering solutions that create lasting value.

About the Role

We are looking for an experienced, motivated, and client-focused

Business Analyst to join our growing consulting team.

In this role, you will connect our clients' business objectives with practical data, analytics, and technology solutions.

Working directly with client stakeholders, business leaders, project managers, and technical specialists, you will identify business challenges, evaluate opportunities for improvement, define requirements, and help translate business needs into measurable outcomes.

You will support projects involving business intelligence, data modernization, analytics, process optimization, digital transformation, and AI-enabled solutions.

Beyond traditional business analysis, you will help clients identify opportunities to improve operational efficiency, strengthen decision-making, and maximize the value of their data and technology investments.

You will contribute throughout the consulting engagement lifecycle, from discovery and solution definition through implementation, testing, adoption, and continuous improvement.

This is a client-facing, billable consulting position requiring strong analytical thinking, business acumen, commercial awareness, and the ability to work collaboratively across multiple engagements.

We are looking for someone who goes beyond documenting requirements.

You should be comfortable challenging assumptions, asking meaningful questions, identifying opportunities, and helping clients achieve better business outcomes.

Key Responsibilities

• 1. Business Analysis and Requirements Management
• Engage directly with client stakeholders, business leaders, and technical teams to understand business objectives, challenges, and opportunities.
• Plan and facilitate stakeholder interviews, requirements workshops, discovery sessions, and business process reviews.
• Gather, analyze, validate, and document functional and non-functional business requirements.
• Translate business needs into clear requirements, user stories, acceptance criteria, business process models, and supporting documentation.
• Document current-state and future-state business processes using BPMN, flowcharts, swimlane diagrams, and other recognized modelling techniques.
• Identify process inefficiencies, operational challenges, and opportunities for automation or optimization.
• Analyze the business impact of proposed changes across people, processes, data, and technology.
• Develop business cases, options assessments, cost-benefit analyses, and recommendations to support informed client decisions.
• Maintain appropriate requirements traceability throughout design, development, testing, and implementation.
• Ensure requirements are aligned with agreed project scope, client priorities, and measurable business outcomes.
• 2. Data Analytics and AI Enablement
• Work with clients to identify business problems and opportunities that can be addressed through data analytics, automation, and artificial intelligence.
• Define business requirements for analytics solutions, including dashboards, reporting, key performance indicators (KPIs), data integration, and operational decision support.
• Collaborate with data architects, engineers, developers, and analytics specialists to translate business requirements into technical specifications.
• Understand client data environments, business data flows, data quality challenges, and information governance requirements.
• Help identify and prioritize AI use cases based on business value, technical feasibility, implementation effort, and organizational readiness.
• Support analytics modernization and AI readiness assessments, including current-state evaluations, gap analysis, and future-state recommendations.
• Contribute to the adoption of AI-enabled analytics capabilities, including generative AI, natural-language interaction, intelligent automation, and decision-support solutions.
• Define measurable success criteria and expected business benefits for analytics and AI initiatives.
• Support client workshops focused on analytics maturity, data modernization, governance, and AI adoption.
• Work with Cadeon's technical teams to ensure proposed solutions are practical, scalable, secure, and aligned with client business needs.
• 3. Client Consulting and Business Value
• Build trusted relationships with client stakeholders by developing a strong understanding of their business, industry, and operational priorities.
• Help clients distinguish underlying business needs from requested features or technologies.
• Facilitate productive discussions between business stakeholders and technical specialists to support informed decisions.
• Identify opportunities to improve business processes, operational efficiency, data accessibility, and decision-making.
• Support business value assessments that quantify expected productivity improvements, cost savings, risk reduction, and operational benefits.
• Proactively identify opportunities where Cadeon's data analytics, modernization, governance, and AI capabilities could create additional client value.
• Collaborate with Cadeon's Client Engagement team to communicate potential enhancements, additional consulting opportunities, and longer-term client initiatives.
• Present findings, recommendations, business cases, and proposed solutions to client stakeholders, including senior management.
• Help ensure Cadeon delivers solutions that address the client's business objectives rather than simply meeting technical requirements.
• 4. Project Delivery, Testing and Adoption
• Work closely with project managers, solution architects, technical leads, and delivery specialists throughout the consulting engagement lifecycle.
• Support project planning, scope definition, work breakdown, effort estimation, and deliverable identification.
• Develop and maintain requirements documentation, decision logs, process models, and other project deliverables.
• Support solution design reviews to ensure technical solutions meet business requirements and agreed acceptance criteria.
• Develop test scenarios, test cases, and acceptance criteria for user acceptance testing (UAT).
• Coordinate and support UAT activities, including defect tracking, issue resolution, and business acceptance.
• Identify and communicate requirements gaps, project risks, assumptions, dependencies, and scope changes proactively.
• Support stakeholder communications, organizational readiness assessments, and change management activities.
• Prepare training documentation, user guides, business process instructions, and knowledge transfer materials.
• Facilitate client training sessions and support solution handover.
• Participate in post-implementation reviews to evaluate adoption, effectiveness, and opportunities for continuous improvement.
• Work within agreed project budgets and timelines while maintaining accurate time records and supporting effective resource utilization.
• 5. Proposals, Estimation and Business Development Support
• Participate in client discovery sessions and early-stage opportunity assessments.
• Work with Client Engagement and technical teams to help define consulting opportunities and proposed approaches.
• Contribute to proposals, statements of work (SOWs), project scopes, assumptions, deliverables, and implementation plans.
• Break proposed work into defined activities and collaborate with delivery specialists to develop realistic effort and cost estimates.
• Support the preparation of business cases, solution recommendations, and project roadmaps.
• Help identify project risks, dependencies, and potential constraints during proposal development.
• Compare estimated effort against actual delivery results and recommend improvements to future estimation practices.
• Identify opportunities for additional client value and communicate them through the appropriate Cadeon Client Engagement channels.
• 6. Continuous Improvement and AI-Enabled Productivity
• Contribute to the ongoing improvement of Cadeon's consulting methodology, business analysis practices, documentation standards, and delivery templates.
• Identify opportunities to improve project efficiency, reduce rework, and strengthen delivery consistency.
• Use approved generative AI and automation tools responsibly to improve research, analysis, requirements documentation, meeting preparation, and other consulting activities.
• Apply appropriate confidentiality, privacy, security, and quality controls when working with client information or AI-generated outputs.
• Share knowledge, templates, methods, and lessons learned with colleagues.
• Participate in professional development, technology training, and relevant industry certification opportunities.
• Stay informed about emerging trends in data analytics, business intelligence, artificial intelligence, and digital transformation.
• Required Qualifications
• Minimum 3-5 years of business analysis experience, preferably within IT consulting, professional services, data analytics, or enterprise technology projects.
• Strong understanding of business analysis methodologies, requirements elicitation, documentation, and stakeholder management.
• Experience facilitating stakeholder interviews, workshops, and collaborative discovery sessions.
• Demonstrated ability to analyze and model business processes using BPMN, Visio, or equivalent tools.
• Experience developing business requirements documents, functional requirements, user stories, and acceptance criteria.
• Understanding of data analytics concepts, including reporting, KPIs, data flows, data quality, and business intelligence.
• Experience supporting technology implementation projects through requirements definition, testing, user acceptance, and deployment.
• Strong analytical and problem-solving skills, with the ability to identify root causes and recommend practical solutions.
• Ability to understand technical concepts and communicate effectively with software developers, data specialists, architects, and business stakeholders.
• Strong written and verbal communication skills, including the ability to present recommendations to both technical and non-technical audiences.
• Ability to manage multiple concurrent client engagements, priorities, and deadlines.
• Demonstrated ownership, accountability, and attention to detail.
• Ability to work independently while collaborating effectively within multidisciplinary teams.
• Practical familiarity with generative AI tools, or demonstrated ability to learn and apply them responsibly to business analysis workflows.
• Post‑secondary education in Business, Information Systems, Computer Science, Engineering, or a related discipline, or equivalent professional experience.
• Preferred Qualifications
• The following experience and qualifications would be considered strong assets:
• Data Analytics and Technology
• Experience with business intelligence platforms such as Microsoft Power BI or Spotfire.
• Familiarity with Microsoft Fabric, Power Platform, Power Apps, Power Automate, or Dynamics 365.
• Understanding of data integration and enterprise data platforms, including Denodo, Snowflake, or Databricks.
• Working knowledge of SQL, data mapping, relational databases, or data modelling.
• Experience defining requirements for dashboards, reporting solutions, analytics applications, or data modernization initiatives.
• Familiarity with data governance, master data management, data quality, or enterprise information management.
• AI and Digital Transformation
• Experience supporting AI, generative AI, automation, or digital transformation projects.
• Familiarity with AI use case identification, business value assessment, and organizational readiness.
• Experience using generative AI tools to improve business processes, documentation, analysis, or operational productivity.
• Understanding of responsible AI practices, including data privacy, security, governance, and human oversight.
• Consulting and Industry Experience
• Experience working in a client‑facing, billable consulting environment.
• Experience developing proposals, statements of work, project estimates, or business cases.
• Knowledge of Oil & Gas, Energy, Manufacturing, Financial Services, or other data-intensive industries.
• Experience working with enterprise clients and senior business stakeholders.
• Experience supporting multiple simultaneous projects.
• Experience with Agile, Scrum, Waterfall, or hybrid delivery methodologies.
• Familiarity with project collaboration tools such as Azure Dev Ops, Jira, or Trello.
• IIBA certification (ECBA, CCBA, CBAP), PMI-PBA certification, or active progress toward a relevant professional designation.
• Key Competencies
• Client Focus

Builds trust by understanding client business objectives and recommending solutions that deliver measurable value.

Analytical Thinking

Investigates problems thoroughly, identifies root causes, challenges assumptions, and develops evidence-based recommendations.

Communication

Communicates clearly and confidently with executives, business users, technical specialists, and project teams.

Facilitation

Leads productive discussions, manages competing perspectives, clarifies requirements, and helps stakeholders reach decisions.

Business and Commercial Awareness

Understands the connection between client outcomes, project scope, delivery efficiency, profitability, and long-term client relationships.

Ownership and Accountability

Takes responsibility for commitments, manages priorities effectively, follows through, and proactively identifies risks or concerns.

Collaboration

Works effectively with project managers, client engagement professionals, architects, developers, data specialists, and other stakeholders.

Adaptability

Moves comfortably between different clients, industries, technologies, and project delivery methodologies.

Continuous Improvement

Looks for better ways to deliver results, embraces emerging technologies, and actively develops new skills.

Integrity and Professionalism

Demonstrates honesty, transparency, sound judgment, and respect for client confidentiality.

What Success Looks Like

Success in this position will be measured by the quality of client engagements, contribution to project delivery, effective utilization, and the business value delivered.

First 90 Days

During your first 90 days, we expect you to

• Develop a clear understanding of Cadeon's services, clients, technology partnerships, and consulting methodology.
• Establish effective working relationships with our Client Engagement, project management, and technical delivery teams.
• Become familiar with Cadeon's business analysis templates, proposal processes, documentation standards, and project delivery practices.
• Participate in client discovery and requirements gathering activities.
• Become billable on at least one client engagement.
• Demonstrate the ability to independently facilitate discussions, document requirements, and contribute to project deliverables.
• Identify opportunities to improve business analysis practices, delivery efficiency, or client outcomes.
• Develop a working understanding of how Cadeon's analytics, data modernization, and AI capabilities address client business challenges.

Why Join Cadeon?

At Cadeon, you will have the opportunity to work alongside highly experienced data analytics and technology professionals on meaningful business challenges.

Our consulting engagements involve complex business environments, enterprise technologies, and organizations seeking to improve how they use information to make decisions.

You will have the opportunity to

• Work directly with enterprise clients across multiple industries.
• Participate in business-critical analytics, data modernization, and AI initiatives.
• Collaborate with senior technical experts and experienced consulting professionals.
• Expand your knowledge of leading enterprise data and analytics technologies.
• Contribute to innovative solutions that deliver measurable business outcomes.
• Develop your consulting, facilitation, technical, and commercial capabilities.
• Be part of a collaborative organization that values honesty, accountability, transparency, teamwork, contribution, and alignment.

We believe great consulting is about more than technology. It's about understanding people, solving meaningful problems, and helping our clients succeed.

Compensation and Benefits

Annual Salary

$85,000-$110,000 CAD, depending on qualifications and experience.

• Cadeon offers a professional and collaborative working environment, including:
• Comprehensive health and dental benefits.
• RRSP matching program.
• Opportunities for professional development and technology training.
• Support for relevant professional certifications and continuous learning.
• Hybrid working arrangements for Calgary-based employees.
• Opportunities to work with experienced professionals across enterprise data, analytics, and AI disciplines.

Work Location

Calgary, Alberta, with an expectation of three days per week in the office for Calgary-based employees.

Remote arrangements within Canada may be considered for qualified candidates.

Occasional travel for client engagements or team collaboration may be required.

#J-18808-Ljbffr