Senior Data Analyst

Join a team where AI isn’t a buzzword—it’s the engine of our success. We’re looking for a Senior Data Analyst to bridge the gap between deployed AI models and high-impact digital marketing. As a Senior Data Analyst, you won’t just build dashboards,you’ll architect the observability of our personalization engine. You will lead the charge in measuring, monitoring, and automating online performance diagnostics of our cutting-edge AI, transforming complex performance telemetry into scalable reporting solutions that drive measurable success for the world’s most innovative brands. 

Responsibilities:  

• Deploy robust, commercial-grade tracking and monitoring products that redefine client expectations regarding AI transparency.
• Seamlessly integrate breakthrough analytical insights into our core AI models suite to continuously evaluate real-world performance.
• Engineer high-performance, scalable data pipelines in GCP and BigQuery that maintain impeccable reliability under pressure.
• Elevate our ML Platform with industry-leading standards for performance monitoring, automated alerting, and A/B testing.
• Drive product adoption and client satisfaction by delivering sophisticated AI-driven insights through Tableau visualizations.
• Diagnose and report on high-impact AI models to ensure they translate directly into tangible business growth.

Qualifications: 

• 5+ years of experience in data analytics, with a focus on measuring and monitoring sophisticated model pipelines.
• Master’s degree or higher in Computer Science, Mathematics, Engineering, or related technical field.
• Proficiency in Python for scripting automated alerts and diagnostic workflows, along with experience using data analysis libraries.
• Expertise in SQL and experience with large-scale data processing frameworks and cloud computing platforms (GCP/BigQuery, AWS/Redshift).
• Advanced proficiency in Tableau to build interactive visualizations for online/offline evaluation, performance monitoring, and A/B testing.
• Strong background in statistical modeling and predictive analytics for evaluating recommender systems and propensity scoring.
• Strategic understanding of the AI model lifecycle, from discovery and experimentation to production deployment and evaluation.
• Strong technical leadership skills and be able to guide and mentor junior team members.
• Able to communicate complex technical concepts to non-technical stakeholders and cross-functional teams, partnering closely with our Machine Learning Engineers.
• Work effectively in a fast-paced, deadline-driven environment and handle multiple priorities simultaneously.
• Be detail-oriented and have a strong commitment to delivering high-quality solutions.
• Be eager to continuously learn and stay up-to-date with the latest advancements in AI and related technologies.

The base pay range for this position is $140,000-$175,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.