Data Management - TELUS Digital Canada at TELUS Digital
Montréal, QC H3B 1S6, Canada -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

04 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Data Science, Data Exchange, Cloud Security, Tableau, Implementation Experience, Change Management, Computer Engineering, Stored Procedures, Looker

Industry

Information Technology/IT

Description

POSITION OVERVIEW:

Join our Performance and Planning team within Global Operations as a key contributor supporting one of TELUS Digital’s largest and most strategic call center accounts. Reporting to the Manager of Business and Market Intelligence, you’ll be instrumental in transforming raw data into actionable business insights that drive operational excellence and strategic decision-making.
In this dynamic role, as a senior team member, you’ll serve as a trusted advisor to stakeholders, leading requirements gathering sessions and facilitating prioritization discussions. You’ll harness the power of call center and customer data to uncover compelling insights, craft visually stunning and actionable dashboards, and revolutionize data delivery through intelligent automation and streamlined processing workflows.

EDUCATION & EXPERIENCE

  • Bachelor’s degree in Computer Engineering, Computer Science, Data Science, or related technical field
  • 5-10 years of hands-on experience with SQL/PL-SQL, stored procedures, BigQuery, and Dataflow for complex dataset development and data pipeline engineering
  • 5-7 years of proven cloud architecture expertise, specializing in Google Cloud Platform (GCP) environments
  • 2-5 years of dashboard and visualization mastery using Tableau, Looker, and Looker Studio

SPECIALIZED EXPERIENCE

  • CI/CD pipeline expertise for deploying data pipelines, analytics models, and enterprise applications
  • Security and compliance mastery including SOX, GDPR, and cloud security best practices
  • Advanced automation experience in enterprise data environments
  • Implement seamless API integrations to enable efficient data exchange and system communication

How To Apply:

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Responsibilities

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