Data Analyst jobs in Canada
Ebay MTS Software Engineer Data Platform Canada, Ontario, Toronto
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MTS 2, Software Engineer, Data Platform
Job Type: Full-time
About the RoleThis role is focused on Data Platform Engineering not data engineering . While familiarity with Spark, Flink , and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself , not just authoring data pipelines.
What you’ll do and learnmajor components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency , correctness , and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product , infra , and analytics teams to align execution with business needs.
Learn and grow in areas like governance , orchestration , and privacy engineering .
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale : powering global analytics and ML systems.
Challenging problems : streaming, freshness/correctness , and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth : flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call
Qualifications
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python , CI/CD , and containerized environments.
Hands-on expertise in tools like Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design .
BS/MS in CS or equivalent experience.
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Google Data Transformation Lead Canada, Ontario, Toronto
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- Bachelor's degree or equivalent practical experience.
- 5 years of experience in media analytics, advertising business, digital media and marketing, or technical account management.
- Experience working with Google's advertising, 1P data ingestion, tagging, or measurement products (e.g., within Google Ads, Google Marketing Platform, Google Analytics, Google Tag Manager, etc.).
Preferred qualifications:
- Experience working with large enterprise B2B software companies, advertisers, agencies, or customers in a consulting or technical account management capacity.
- Experience in a technical role focused on implementation, technical support, or platform operations related to web/app infrastructure.
- Ability to systematically evaluate and troubleshoot technical problems and see them through to resolution.
- Ability to work effectively in a changing, collaborative cross-functional team environment, and to influence stakeholders to prioritize and accelerate action.
- Excellent written and verbal communication skills with the ability to clearly explain technical concepts to audiences of all levels.
Amazon Associate Delivery Consultant - Data Analytics Canada, Ontario, Old Toronto
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The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
• 2+ years implementing cloud architecture
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++
Preferred Qualifications
• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• 2+ years implementing Data platforms
• Hands on experience with building data or machine learning pipeline
• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)
Google Business Data Scientist Forecasting Google Cloud Canada, Ontario, Waterloo
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- Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
- 3 years of experience in data science, with a focus on time series analysis and forecasting.
- Experience in causal inference, A/B testing, statistical modeling, or machine learning.
- Experience with a range of forecasting methods, from classical statistical models to machine learning approaches.
Preferred qualifications:
- 4 years of experience deploying and maintaining forecasting models in a live production environment.
- Experience with recent advancements in forecasting, such as foundation models (TimesFM) or deep learning approaches.
- Experience in a demand planning, contact center, or operational workforce management role.
- Ability to apply judgmental forecasting and incorporate qualitative business adjustments into model outputs, especially for new or unprecedented events.
- Familiarity with cloud platforms (e.g., Google Cloud Platform) and their AI/ML services (e.g., BigQuery, Vertex AI).
Google Senior Content Adversarial Red Team Analyst Canada, Ontario, Waterloo
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Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The anticipated application window is open until,but may close earlier if all available projects are full. Applications submitted after the application window or once the role is closed/projects are full will not be considered.
Participation in this program requires that you are located in Canada for the duration of the engagement.
This program is best suited for students who will not be seeking full time employment following this role, as this program is non-conversion eligible.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English (PDFs preferred).
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.- Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field.
- Experience in one area of computer science (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas).
Preferred qualifications:
- Currently enrolled in a full-time degree program and returning to the program after completion of the internship.
- Currently attending a degree program in Canada.
- Experience as a researcher, including internships, full-time, or at a lab.
- Experience contributing research communities or efforts, including publishing papers in major conferences or journals.
- Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.).
Google Data Center Operations Manager Canada, Quebec, Montreal
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Minimum qualifications:
- Bachelor's degree in a technical field or equivalent practical experience.
- 5 years of experience in computing infrastructure, networking, operating systems, or hardware.
- 2 years of experience managing technical teams, vendor or contract management and delivery.
- Ability to work non-standard hours, including working weekends, night shifts, holidays and on shift-based schedules as required.
Preferred qualifications:
- Experience leading and managing projects from initiation to completion and directing operations management initiatives.
- Experience working in data center environments, including building and operating infrastructure, network, compute architecture, life-cycle, and Linux/Unix system administration
- Experience with initiating and executing initiatives in a global environment.
- Experience with developing network architecture.
- Ability of leading and improving Environmental Health and Safety initiatives.
Unity Analyste Senior en Intelligence d Affaires Senior BI Analyst... Canada, Quebec, Montreal
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L'opportunité
Venez rejoindre l’équipe BI Unity Ads, où les données sont au cœur de chaque décision ! Chez Unity, notre équipe Intelligence d’Affaires Ads joue un rôle clé dans la prise de décisions éclairées par les données, l’identification de nouvelles opportunités de croissance et le développement d’outils analytiques performants. Nous gérons un écosystème publicitaire complet, incluant plusieurs réseaux publicitaires et une plateforme de médiation, dans un environnement de marché dynamique et en constante évolution. En tant que Développeur(euse) Senior en Intelligence d’Affaires (BI) au sein du groupe Network Insights, vous reporterez a la gestionnaire Senior de l’équipe Analytique BI - Apprentissage Machine. Votre rôle sera de transformer les données du marché en analyses et stratégies concrètes, afin d’assurer le succès de l’acquisition d’utilisateurs auprès des plus grands annonceurs d’applications mobiles. Vous piloterez des initiatives de données de bout en bout : de l’analyse des enjeux d’affaires à l’évaluation de la performance des modèles d’apprentissage machine (ML), en passant par la production de rapports prédictifs qui orienteront la feuille de route de Unity Ads. Vous travaillerez en étroite collaboration avec des équipes Produit, Développement, Science des Données et Revenu pour traduire chaque données en impact mesurable. De l'identification des problèmes de performance à la construction d'outils de surveillance, vous aiderez à améliorer la rétention et à optimiser les résultats à travers l'écosystème publicitaire. Si vous êtes motivé(e) par l’idée de transformer des données en insights pour des produits ML en constante évolution, cette opportunité chez Unity est faite pour vous.Ce que vous allez faire
- Analyser des ensembles de données complexes à l’aide de rapports et de statistiques prédictives afin d’en extraire des insights pertinents. Identifier les tendances, les motifs et les corrélations au sein des données pour éclairer la prise de décision stratégique.
- Concevoir des solutions évolutives et fiables, tout en gérant et maintenant les produits analytiques ainsi que les solutions BI pour l’ensemble du groupe ML.
- Créer des rapports et tableaux de bord clairs et impactants. Présenter les résultats aux principales parties prenantes, tant au niveau global du réseau ML que sur les performances détaillées des modèles.
- Collaborer avec les équipes interfonctionnelles pour développer des outils de reporting adaptés aux besoins d’affaires spécifiques.
- Être un(e) expert(e) en la matière. Traduire les besoins d’affaires en tâches analytiques concrètes et livrables permettant la prise de décision à travers le portefeuille de produits publicitaires, sur des sujets tels que la planification de la feuille de route produit, les prévisions financières ou même les politiques d’affaires soutenant la stratégie Unity Ads.
- Identifier proactivement les opportunités d'amélioration des processus et d'optimisation basées sur des informations tirées des données.
Ce que nous recherchons
- Solide expertise en analyse statistique, incluant la conception d’expérimentations et les tests d’hypothèses avec des logiciels statistiques tels que Python, R ou équivalents.
- Expérience avec des outils BI comme Looker, Tableau, Periscope ou similaires. Maîtrise de SQL sur de grandes bases de données dans des environnements cloud (BigQuery, Redshift, Snowflake).
- Excellentes compétences en communication et présentation, capable de vulgariser des informations techniques complexes pour divers publics et d’influencer les décisions d’affaires.
- Goût pour l’action, curiosité, proactivité et capacité à transformer des problèmes ambigus en questions analytiques claires.
- Autonomie, rapidité d’apprentissage et bonne gestion des priorités dans un contexte dynamique, en collaboration avec de multiples parties prenantes.
- Formation en génie industriel, statistique, économie ou diplôme équivalent en mathématiques appliquées ou analytique.
Vous avez peut-être également
- Une expérience dans l’AdTech, le marketing de performance, l’industrie du jeu mobile ou des produits SaaS (marketplace).
Information supplémentaire
- Le support à la relocalisation n’est pas disponible pour ce poste.
La vie chez Unity
Unity [NYSE: U] est la principale plateforme pour créer et développer des jeux ainsi que des expériences interactives. Des créateurs, allant du développeur de jeux aux artistes en passant par les architectes, les concepteurs automobiles, les experts en infrastructure, les cinéastes et plus encore utilisent Unity pour donner vie à leur imagination à travers plusieurs plateformes, notamment mobile, PC et console ainsi que l’informatique spatiale.Au quatrième trimestre 2024, plus de 70% des 1000 jeux mobiles les mieux classés ont été réalisés avec Unity, et en 2024, les applications créées avec Unity ont enregistré en moyenne 3,7 milliards de téléchargements par mois. Pour plus d’informations, veuillez consulter le site
Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Nos différences sont des forces nous permettant de répondre aux besoins croissants et évolutifs de nos clients, partenaires et collaborateurs. Veuillez remplir si vous nécessitez des accommodations particulières pour rendre votre expérience d’entrevue agréable et positive.
Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.
Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.
La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour et les . Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.
The opportunity
Join Unity’s Ads Business Intelligence team, where data powers decisions!At Unity, our Ads Business Intelligence team plays a key role in enabling data-driven decision-making, identifying new business growth opportunities, and developing impactful analytics tools. We operate a full-spectrum ad ecosystem, including multiple ad networks and a mediation platform - a dynamic and fast-paced marketplace environment.
As a new Senior BI Developer within the Network Insights group, you’ll report to the Senior Manager of Machine Learning BI Analytics team. Your focus will be on turning marketplace data into actionable insights and strategies that empower user acquisition success for largest mobile app advertisers. You’ll lead end-to-end data initiatives - diving into business challenges, analyzing ML model performance, and delivering predictive reporting to shape the Unity Ads roadmap. You'll work closely with teams across product, engineering, data science, and revenue to translate insights into measurable impact.
From diagnosing performance issues to building monitoring tools, you’ll help improve retention and optimize outcomes across the ad ecosystem.
If you’re excited by the idea of driving insights to dynamic ML products, this is your opportunity to make a lasting impact at Unity.
What you'll be doing
- Analyze complex datasets using reporting and predictive statistics to extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making.
- Design scalable and reliable solutions, manage and maintain analytics products and BI solutions for the entire ML group.
- Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders for both high-level network ML health and detailed ML model performance.
- Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs.
- Be a subject matter expert. Translate business requirements into actionable analytical tasks and deliverables for decision making across ads product portfolio on topics such as product roadmap planning, financial forecasting and business policies to support Unity Ads strategy.
- Proactively identify opportunities for process improvement and optimization based on data-driven insights.
What we're looking for
- Strong expertise in statistical analysis, including experimentation and hypothesis testing using statistical software packages in Python, R or equivalent.
- Experience with BI tools like Looker, Tableau, Periscope or similar. Proficiency with SQL on large data in cloud environments (e.g. BigQuery, Redshift, Snowflake).
- Strong communication and presentation skills, with an ability to deliver complex technical information to a wide range of audiences and influence business decisions.
- Bias for action. Curiosity, proactiveness and ability to decompose ambiguous problems into analytical problems.
- Autonomous, fast learner, and able to prioritize well while working in a fast-paced environment and collaborating with many different stakeholders.
- Background in industrial engineering, statistics, economics, or other mathematics analytics degree equivalent.
You might also have
- Experience in AdTech, performance marketing, mobile games industry or SaaS (marketplace) products is a plus.
Additional information
- Relocation support is not available for this position.
Life at Unity
Unity [NYSE: U] is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit .
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our and . Should you have any concerns about your privacy, please contact us at DPO@unity.com.
#SEN #LI-AR1
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MTS 2, Software Engineer, Data Platform
Job Type: Full-time
About the RoleThis role is focused on Data Platform Engineering not data engineering . While familiarity with Spark, Flink , and other tools in the Hadoop ecosystem is valuable, your primary responsibility will be building and evolving the platform itself , not just authoring data pipelines.
What you’ll do and learnmajor components of eBay’s Data Platforms — from design through production rollout.
Design and evolve distributed systems powering ingestion, streaming, lakehouse/warehouse, catalog, and governance.
Contribute to long-term architecture through design reviews and authoring architecture design documents, ensuring scalability and resilience.
Build systems that balance latency , correctness , and cost while ensuring security and compliance.
Drive operational excellence for services you own, including observability and incident response.
Collaborate across product , infra , and analytics teams to align execution with business needs.
Learn and grow in areas like governance , orchestration , and privacy engineering .
Experience designing large-scale distributed systems (compute, storage, APIs, streaming).
Ability to independently deliver complex projects from requirements to production.
Systems thinker who anticipates bottlenecks, schema evolution, and reliability issues.
Strong communication skills to influence cross-team technical outcomes.
Growth mindset with curiosity to learn new technologies.
Impact at scale : powering global analytics and ML systems.
Challenging problems : streaming, freshness/correctness , and multi-cloud resiliency.
Collaborative culture that values inclusion and knowledge sharing.
Support & growth : flexibility, benefits, and career development resources.
Focus on reliability and sustainable on-call
Qualifications
8+ years of distributed systems or data platform experience.
Proven ability to design and deliver critical systems with impact.
Proficiency in Java/Python , CI/CD , and containerized environments.
Hands-on expertise in tools like Kafka/Flink , Spark , Delta/Iceberg , Kubernetes , NoSQL/columnar stores .
Experience in streaming and batch data platforms.
Strong foundation in algorithms and distributed design .
BS/MS in CS or equivalent experience.
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