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Senior Data Analyst (L4)

Location: 

Edmonton, AB, CA, T5J 0E5 Calgary, AB, CA Vancouver, BC, CA Toronto, ON, CA

Req ID:  54197
Jobs by Category:  Technology Solutions
Job Function:  Planning and Analysis
Status:  Full Time
Schedule:  Regular

Description


Join our team and what we'll accomplish together

  • We are looking for a proactive, growth-minded Senior Data Analyst / ML Engineer with a minimum of 5 years of experience in analyzing high-volume data and delivering strategic insights. This is a unique "growth-track" role: you will start by mastering our data landscape through advanced dashboarding and telemetry analysis, then rapidly transition into building and maintaining the predictive models that drive our customer success. If you are someone who isn't just looking for a ticket to solve, but wants to understand the why behind the numbers to proactively prevent customer issues, you’ll fit right in.

Qualifications


What you bring

The Roadmap
·         Phase 1 (Domain Mastery & KPI Strategy): You’ll dive deep into our telemetry and customer profile data. You will define the Key Performance Indicators (KPIs) that matter most and build high-impact Tableau dashboards to track them.

·         Phase 2 (ML Innovation & Production): Once you’ve mastered the domain, you will lead the transition into predictive modeling. You will own the feature engineering process and deploy models that proactively solve customer issues.


What You’ll Do

·         Dashboarding & Domain Learning: Initially, you will focus on building interactive and insightful Tableau dashboards. This is your foundation to learn our domain knowledge, understand customer behavior, and identify patterns in our telemetry data.

·         Feature Engineering: Architect and transform raw telemetry and customer profile data into high-signal features. You will build the data pipelines that serve as the foundation for all ML initiatives.

·         ML Development & Lifecycle Management: Develop and deploy ML models (churn prediction, anomaly detection, etc.). You are responsible for maintaining models in production, including setting up automated retraining pipelines to ensure accuracy as data evolves.

·         Proactive Problem Solving: Use your technical expertise to identify potential customer friction points before they become issues, moving the company from a reactive to a proactive stance.

·         KPI Development & Stakeholder Presentation: Collaborate with leaders to define critical business KPIs. You will act as a data storyteller, presenting key insights to executive stakeholders and translating complex ML/Data trends into clear, strategic recommendations.


What You Bring

·         SQL Mastery: You write clean, efficient, and complex queries at an expert level. This is the core of how you interact with our data.

·         BI & Dashboarding Expertise: Proficiency in Tableau, creating interactive dashboards that drive action and help you (and the team) rapidly acquire domain knowledge.

·         GCP Ecosystem: Strong experience with Google Cloud Platform, specifically BigQuery and its integration with ML tools.

·         ML Ops Experience: Practical experience managing the production lifecycle, monitoring, versioning, and ensuring timely model retraining.

·         The "Proactive" Edge: A strong desire to learn the business domain and grow with the company. You don't wait for instructions; you identify opportunities and solve problems before they escalate.

·         Excellent Communication Skills: A proven track record of analyzing high-volume data and presenting key findings to senior-level audiences. You can explain complex technical concepts to non-technical stakeholders with ease.

Preferred Qualifications (Good to Have)

·         GCP Professional Machine Learning Engineer Certification.

·         Working knowledge of leveraging Claude in the workflows.

·         Experience with Google Vertex AI or Kubeflow for ML orchestration.

·         Background in analyzing high-volume telemetry or IoT data.


Technical Stack
·         Languages: SQL (Expert), Python

·         Data Warehouse: Google BigQuery

·         Cloud Infrastructure: Google Cloud Platform (GCP)

·         Visualization: Tableau, Looker, Etc

·         ML Tools: Scikit-learn, TensorFlow/PyTorch, Vertex AI (GCP) , Claude (Anthropic)



 
Salary Range:  $86,000-$136,000
Performance Bonus or Sales Incentive Plan:  15%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. We encourage all qualified candidates to apply, even if the posted salary range doesn't match your expectations. We're open to discussing competitive compensation packages tailored to your experience level and expertise. TELUS offers rewarding benefits, which may vary per job function, such as:

  • Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
  • Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
  • Generous company matched pension and share purchase programs
  • Opportunity to give back to communities in which we work, live and serve
  • Career growth and learning & development opportunities to develop your skills
  • And much more …
Job Type:  This is for a current vacancy

A bit about us

We’re a people-focused, customer-first, purpose-driven team who works together every day to innovate and do good. We improve lives through our technology solutions and foster a culture of innovation that empowers team members to solve complex problems and create remarkable human outcomes in a digital world. 

You’ll find our engaging, high-performance culture personally fulfilling, professionally challenging, and financially rewarding. We’re committed to diversity and equitable access to employment opportunities based on ability. Your unique contributions and talents will be valued and respected here. When you join our team, you’re helping us make the future friendly.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

 

 

 

 

Technology Solutions

We’re into seeing where technology can take us, so if you have ever imagined what the future of supply chain management, cybersecurity, the cloud and Internet of Things will look like, we want you to be part of the team that makes it happen.

We are honoured to be recognized

5G
TELUS’s fastest network. 5G enables a superior experience with fast downloads and richer multimedia applications

6
Innovation centres across Canada that bring our team members together with customers, partners, start ups, universities, hospitals and fellow colleagues to tackle some of the biggest technological hurdles Canada will face in the near future.

1
Million active users logging into My TELUS per month (consumer mobility).

Accessibility

TELUS is proud to foster an inclusive culture that embraces diversity. We are committed to fair employment practices and all qualified applicants will receive consideration for employment.

We offer accommodation for applicants with disabilities, as required, during the recruitment process.

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