Jobs in Canada

Analyst 3 in Canada

99 active opportunities · Updated October 2026

Explore current analyst 3 jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

L
📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -72.4%

$128K – $160K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

PythonSQLAIGo
A
📍 Canada· Full-time
✓ High-confidence listingCompany trend -86.2%

From C$115K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb a pris le jour en 2007 lorsque deux Hôtes ont accueilli trois invités dans leur maison de San Francisco, et compte depuis lors plus de 4 millions d'Hôtes qui ont accueilli plus d'un milliard d'invités dans presque tous les pays du monde. Chaque jour, les Hôtes proposent des séjours et des expériences uniques qui permettent aux invités de se connecter de manière plus authentique aux communautés. La différence que vous ferez: Nous sommes à la recherche d'une personne dévouée et enthousiaste pour assurer une gestion exceptionnelle de l'assistance utilisateurs fournie à la communauté Airbnb en tant que Manager. La personne idéale est accueillante, dotée de capacités d'analyse et déterminée à assurer un service optimal en encadrant et en motivant son équipe. Le ou la Manager s'occupe d'un ou de plusieurs services internes de l'assistance utilisateurs. Le ou la Manager doit assurer un rôle de leadership opérationnel qui nécessite une solide expérience dans l'assistance utilisateurs et la gestion d'équipe. Les Managers supervisent des équipes d'environ 10 à 15 ambassadeurs et doivent être en mesure de les guider et de les motiver, en démontrant des compétences optimales en matière d'assistance utilisateurs. De solides compétences organisationnelles et la capacité à équilibrer le travail en temps réel et le travail planifié sont également nécessaires. Les futurs responsables doivent aussi être réactifs et capables de s'adapter à notre environnement dynamique, parfois sous pression, tout en restant flexibles, proactifs, ingénieux, efficaces et dotés d'un haut niveau de professionnalisme et de confidentialit

SQLRestAIGo
SA
📍 San Francisco, Canada
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast. Example Projects Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets Build orchestration for fleets of asynchronous agents running long-horizon tasks Develop systems that automatically alert users to deviations and anomalies in incoming data Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents Build evaluation infrastructure that measures model reliability against mission requirements Ship full-stack tooling that lets analysts query, visualize, and explore mission data Deploy and harden applications into secure, air-gapped, and cloud-native government environments Requirements A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering expe

TypeScriptPythonReactMongoDB
H
📍 Montreal, Quebec, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Join Hasbro as a Systems Specialist for a maternity leave replacement (12 months) and become an integral part of our innovative team in Longueuil, QC, Canada. This outstanding opportunity will enable you to work on developing, improving, testing, and maintaining the system environments that support our creative and product development. You’ll work closely with experienced professionals to ensure our systems operate flawlessly and efficiently! What You Will Perform as a Systems Specialist: Develop, improve, and test automated workflows supporting the development of products, digital, and printed assets. Support User-Acceptance-Testing of new or updated workflows by fixing errors and implementing testers’ change requests. Propose and build solutions to help systems’ day-to-day users manage their workload and measure their performance through data dashboards. Build searches to pull data from systems to support reports developed or used by day-to-day users and Data Analysts. Develop training materials and conduct training sessions for new system users. Collaborate with Digital Content Specialists to define and apply conventions and guidelines for maintaining an organized and secure systems environment. Identify new system features to improve day-to-day users’ efficiency and share with Process Managers and Digital Content Specialists. What You Will Bring: Excellent analytical skills and ability to solve problems. Ability to understand complex processes and transform them into automated workflows. Organizational skills with high

JavaGitAIGo
SA
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $151.2K/yr

Quick readStrong listing-quality and freshness signals

Scale's mission is to develop reliable AI systems for the world's most important decisions. We provide the high-quality data that powers the world's AI models, and we help enterprises and governments build, deploy, and oversee AI applications that create real impact. As Communications Manager, Corporate and Product, you will help shape how Scale shows up when it comes to our work building enterprise AI, spanning company narrative, product launches, partner communications, media presence, and executive visibility. This role is centered on translating complex enterprise AI deployments and partnerships into clear, compelling narratives that resonate with business and vertical industry audiences. A core focus of the role is pitching and positioning Scale's enterprise wins, product launches, and customer partnerships, including how organizations across industries are using Scale's Generative AI Platform to build, deploy, and oversee AI applications that create real impact. You will also work closely with communications counterparts at partner companies to align messaging and coordinate joint announcements. You will help tell the story of how Scale's enterprise business powers mission-critical AI programs for the world's most consequential organizations, from Fortune 500 companies to leaders across every major industry. In this role, you will partner closely with enterprise product leaders and go-to-market teams, as well as teams across communications, social, and marketing. You will play a key role in strengthening Scale's reputation with enterprise customers, industry analysts, and the broader technology ecosystem. This position reports directly to the Head of Corporate & Product Communications. You Will Support corporate and product communications initiatives with a strong emphasis on Scale's enterprise business, including customer and partnership announcements, product launches, executive visibility, and industry positioning. Help translate co

AWSRestAIGo
A
📍 Canada· Full-time
✓ High-confidence listingCompany trend -86.2%

From C$128K/yr

Quick readStrong listing-quality and freshness signals

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. La communauté qui vous attend : En tant que gestionnaire principal·e de la qualité, cette personne sera responsable du programme de qualité d'AirCover. AirCover est le produit d'assurance d'Airbnb pour les hôtes et pour la protection contre les dommages matériels. Il couvre les demandes d'indemnisation à l'échelle mondiale, chaque dossier comportant une incidence financière directe. Votre contribution : Ce rôle exige une personne responsable de la qualité, capable de travailler avec rigueur dans des environnements où les conséquences d'une mauvaise décision sont importantes, où les processus sont complexes et où la mesure de la qualité doit aller au-delà du respect des comportements attendus afin d'évaluer l'exactitude et la justification des décisions. Journée type : Leadership stratégique et responsabilité du programme Prendre en charge et exécuter la stratégie de qualité pour AirCover en fonction de l'évolution des besoins de l'entreprise. Agir à titre d'unique responsable de la qualité pour AirCover. Établir et optimiser des modèles et des cadres opérationnels alignés sur le COPC. Représenter la qualité pendant les réunions sur les rapports d'activités hebdomadaires, mensuelles et trimestrielles, et avec la direction supérieure, et présenter une analyse proactive qui met en évidence les risques émergents. Mesure et exécution de la qualité Superviser l'exécution de l'évaluation de l'assurance qualité pour l'ensemble d'AirCover, à l'interne et sur les sites partenaires de l'EPA dans le monde entier, en veillant à l'application cohérente des processus et des cadres d'assu

AIGoSEMSix Sigma
PE
📍 Palo Alto, CA· Full-time· Hybrid
✓ Quality checked

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Our Deal Team members collaborate with multiple Palantir teams to proactively engage with existing and prospective commercial customers, leading the structuring and negotiation of deal terms so that Palantir can continue to drive positive impact in the world. As a member of the Deal Team, you will partner closely with Palantir’s Legal, Finance, Sales, and Engineering teams to drive deal execution and support our growth efforts at scale, while directly owning the development and negotiation of commercial terms for commercial customers. You will use your expertise to unite our customer’s needs and considerations with our company’s strategy, using your creativity to identify the right commercial structure and approach for each customer. You will also utilize your understanding of the business landscape and build relationships with internal partners, increasing the visibility of deal progress and forecasting impact across all levels of our organization, from analysts to C-suite executives. In this role, you will also support various special projects that arise at our fast-paced, mission-focused company. We’re a team that values both creativity and teamwork. Whether operating solo or collaboratively, we endeavor to achieve great results on challenging, time-sensitive deal discussions and projects. You'll be given open ended objectives and expected to find ways to turn them into outcomes. By focusing on the broad vision without losing sight of the details, you'll bring large and multi-phase deals to successful completion while prioritizing team outcomes over individual wins. You are able to deliver complex commercial contract and deal information in an unde

L
📍 San Francisco, CA· Full-time
✓ High-confidence listingCompany trend -72.4%
Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

PythonMachine LearningAIGo
L
📍 Toronto, Canada· Full-time
✓ High-confidence listingCompany trend -72.4%

From C$172K/yr

Quick readStrong listing-quality and freshness signals

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

Machine LearningAIGo
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