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TELUS Digital

Senior Business Analyst – CXAI

TELUS Digital

Business Analyst driving digital transformation initiatives within CX Digital Evolution department. Collaborating with stakeholders and ensuring alignment with organizational objectives using advanced analytics.

Posted 6/30/2026full-timeRemote • 🇬🇹 GuatemalaSeniorWebsite

Tech Stack

Tools & technologies
Tableau

About the role

Key responsibilities & impact
  • Leads requirements gathering and analysis for new solutions and system implementations
  • Collaborates with stakeholders to identify business needs and translate them into functional specifications
  • Ensures alignment between business objectives and technical solutions
  • Proactively identifies and mitigates functional risks that could impact solution scalability or user adoption
  • Establishes pre-implementation baselines to ensure measurable comparison against post-launch outcomes
  • Develops and implements frameworks to measure solution effectiveness and ROI
  • Defines KPIs and success metrics for new initiatives
  • Creates dashboards and reports to track adoption rates, performance improvements, and business outcomes
  • Conducts post-implementation reviews and recommends optimization strategies
  • Validates data integrity within dashboards to ensure senior management is making decisions based on single source of truth metrics
  • Partners with cross-functional teams
  • Translates complex data into compelling narratives and actionable insights for executive leadership
  • Presents findings, recommendations, and impact assessments to senior management
  • Manages expectations and communicates project status effectively.
  • Complies with all the internal rules and regulations of the Company.

Requirements

What you’ll need
  • Excellent level of proficiency in English (written and spoken) - minimum level B2 based on Common European Framework
  • Bachelor’s Degree required; ideally in Business Administration, Information Systems, Finance, or Computer Science
  • Knowledge of advanced data analytics and machine learning techniques
  • Proficiency in business intelligence and data visualization tools (e.g., Tableau, Power BI, Excel, Google Sheets, Looker Studio)
  • Advanced Excel: Pivot tables, VLOOKUPs, and basic modeling
  • Knowledge of emerging technologies in the learning space.

Benefits

Comp & perks
  • Private medical and life insurance from day one
  • Budget for professional growth (certifications)
  • Schedule flexibility.
  • Extra bonus based on performance.

ATS Keywords

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Hard Skills & Tools
Data AnalyticsMachine Learning TechniquesRequirements GatheringFunctional SpecificationsKPI DefinitionPost-Implementation ReviewData Integrity ValidationOptimization StrategiesDashboard CreationPerformance Measurement
Soft Skills
CollaborationCommunicationNarrative DevelopmentExpectation Management