Senior Data Analyst (L4)

TELUS • Vancouver, BC

15d

About The Position

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.

Requirements

• Minimum of 5 years of experience in analyzing high-volume data and delivering strategic insights.
• SQL Mastery: Ability to write clean, efficient, and complex queries at an expert level.
• BI & Dashboarding Expertise: Proficiency in Tableau, creating interactive dashboards that drive action and help 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, identifying opportunities and solving problems before they escalate.
• Excellent Communication Skills: Proven track record of analyzing high-volume data and presenting key findings to senior-level audiences, explaining complex technical concepts to non-technical stakeholders.
• 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)

Nice To Haves

• 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.

Responsibilities

• Dive deep into telemetry and customer profile data to define Key Performance Indicators (KPIs) and build high-impact Tableau dashboards to track them.
• Lead the transition into predictive modeling, owning the feature engineering process and deploying models that proactively solve customer issues.
• Focus on building interactive and insightful Tableau dashboards to learn domain knowledge, understand customer behavior, and identify patterns in telemetry data.
• Architect and transform raw telemetry and customer profile data into high-signal features, building data pipelines for ML initiatives.
• Develop and deploy ML models (churn prediction, anomaly detection, etc.) and maintain them in production, including setting up automated retraining pipelines.
• Use technical expertise to identify potential customer friction points before they become issues, moving the company from a reactive to a proactive stance.
• Collaborate with leaders to define critical business KPIs and act as a data storyteller, presenting key insights to executive stakeholders and translating complex ML/Data trends into clear, strategic recommendations.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees