The day-to-day work of a Business Analyst at Telus Digital Ai Data Solutions is dynamic and highly collaborative. You will rarely find yourself working in a silo; instead, you will act as the central nervous system for your assigned projects.

Your primary responsibility is to analyze, design, and optimize the workflows used to generate AI training data. This involves writing detailed technical specifications, creating process flow diagrams, and establishing the validation rules that ensure data integrity. You will continuously monitor project performance, using SQL, Excel, and internal visualization tools to identify inefficiencies in the pipeline and implement corrective actions.

Collaboration is a constant feature of this role. On any given day, you will sync with client-side engineers to clarify data requirements, coordinate with internal PMs to balance workforce allocation, and partner with technical teams to resolve system bugs or platform outages. You will also play a key role in client reporting, translating complex operational data into clear, professional summaries that demonstrate the value and progress of the project.

While qualifications can vary slightly depending on the specific team and region, successful candidates generally meet a core set of technical and professional benchmarks.

• Must-have skills

  • Strong proficiency in SQL for data extraction, manipulation, and analysis.
  • Advanced Microsoft Excel capabilities (pivot tables, complex formulas, data modeling).
  • Proven experience in business process mapping, requirements gathering, and writing technical documentation.
  • Exceptional communication skills, with the ability to explain technical concepts to non-technical stakeholders clearly.
  • Prior experience working within an Agile/Scrum development environment.

• Nice-to-have skills

  • Familiarity with AI/ML concepts, data annotation, or LLM training workflows.
  • Basic programming or scripting skills (Python, R) for automation.
  • Experience working with visualization tools like Tableau, Power BI, or Looker.
  • Professional certifications such as CBAP (Certified Business Analysis Professional) or PMI-PBA.

Q: How technical is the Business Analyst interview? A: It can be highly technical. While you are not expected to write production software code, some technical teams will ask detailed questions about database design, system integration, and data querying. Preparing for SQL assessments and understanding system architectures is strongly recommended.

Q: Does the company provide practical tests during the hiring process? A: Yes. Many candidates report receiving a practical technical assessment early in the process. This test evaluates your analytical thinking, data manipulation skills, and ability to interpret complex instructions. In some cases, candidates are allowed multiple attempts to complete the assessment.

Q: What is the typical timeline for the hiring process? A: The process can range from a few weeks to two months, depending on the role's urgency and geographic location. Because Telus Digital Ai Data Solutions occasionally hires in large cohorts for major client accounts, some phases of the process may feel highly structured, while others might experience slight delays as project requirements crystallize.

Q: How does the PMO team structure its projects? A: The PMO typically operates using Agile methodologies, aligning closely with client sprint cycles. Projects are fast-paced, and requirements can change rapidly based on the performance of the AI models being trained.

• Prepare for developer-adjacent questions: Do not assume this is a purely functional role. Brush up on your understanding of APIs, database normalization, and system architecture. Being able to speak the language of developers will set you apart from other candidates.

• Focus on the "Why" behind data: When describing your past projects, don't just list the tools you used. Explain why you chose those specific metrics, how your analysis impacted the business, and how you measured success.

• Understand the AI landscape: Show that you are genuinely interested in artificial intelligence and machine learning data pipelines. Being familiar with basic industry terms like "ground truth," "active learning," and "RLHF" demonstrates that you understand the company's core mission.

• Structure your behavioral answers: Use the STAR method (Situation, Task, Action, Result) to keep your answers concise and impactful. Focus heavily on the "Action" and "Result" stages, quantifying your achievements wherever possible.

The Business Analyst role at Telus Digital Ai Data Solutions is an exceptional opportunity for professionals who want to work at the intersection of business strategy, project management, and cutting-edge artificial intelligence. By successfully navigating the interview process, you position yourself to join a global leader that powers the data engines of tomorrow's technology.

To succeed, focus your preparation on mastering SQL, understanding complex system workflows, and demonstrating your ability to bring structure to highly ambiguous projects. Approach your interviews with a collaborative mindset, highlighting your communication skills and your capacity to act as a trusted partner to both technical teams and business stakeholders.

For more detailed interview reviews, salary expectations, and preparation resources tailored specifically to roles like this, explore the extensive community insights available on Dataford. With focused preparation and a clear understanding of the company's unique operational landscape, you are well-equipped to ace your upcoming interviews.

The compensation data above represents typical salary ranges for this position. When interpreting these figures, remember that total compensation at Telus Digital Ai Data Solutions can vary based on your geographic location, the complexity of the technical projects you support, and your overall level of experience. Use this information to guide your salary expectations during your initial HR screening.