Client-Facing Data Analytics & AI Consultant in Calgary

Client-Facing Data Analytics & AI Consultant in Calgary

Calgary Full-Time 126000 - 154000 $ / year (est.) On-site
C

At a Glance

  • Tasks: Translate client goals into actionable data insights and drive AI initiatives.
  • Company: Join Cadeon Inc., a leader in data analytics and AI consulting.
  • Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
  • Other info: Collaborative team environment with exciting projects in Calgary.
  • Why this job: Make a real impact by improving business outcomes through data-driven solutions.
  • Qualifications: Experience in business analysis and strong communication skills required.

The predicted salary is between 126000 - 154000 $ per year.

Cadeon Inc. is seeking an experienced Business Analyst to join our data analytics and AI consulting team in Calgary.

You will translate client objectives into measurable requirements, collaborate with data engineers and analysts, and drive process improvements across BI, data modernization, and AI initiatives.

The role emphasizes stakeholder engagement, requirements management, and ensuring solutions deliver measurable business outcomes within a client-facing consulting environment.

#J-18808-Ljbffr

Client-Facing Data Analytics & AI Consultant in Calgary employer: Cadeon-Inc.

Cadeon Inc. is an exceptional employer that fosters a collaborative and innovative work culture in the heart of Calgary. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement in the rapidly evolving fields of data analytics and AI. Our commitment to meaningful client engagement ensures that every team member plays a vital role in delivering impactful solutions, making your work both rewarding and significant.

C

Contact Details:

Cadeon-Inc. Recruitment Team

We think you need these skills to ace Client-Facing Data Analytics & AI Consultant in Calgary

Business Analysis
Data Analytics
AI Consulting
Stakeholder Engagement
Requirements Management
Process Improvement
Collaboration with Data Engineers