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Data Analysts Jobs in Canada

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Data Engineer - Copilot AI at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Engineering, Machine Learning, Data Modeling, Data Governance, Azure Ai, Power Platform, Automation, Data Quality, Semantic Modeling, Apis, Ci/Cd, Incident Response, Prompt Engineering, Data Reliability Engineering, Metadata Management, Agile Methodologies
Specialization
Candidates must have a Master's or Bachelor's degree in a related field with relevant experience in data engineering or analytics. Familiarity with Azure AI Foundry and experience in developing Copilot Agents are also required.
Experience Required
Minimum 5 year(s)
Data Engineer Intern/Co-op at TD Canada Trust
Toronto, Ontario, Canada - Full Time
Skills Needed
Java, Scala, Python, Pyspark, Sql, Data Generation, Data Masking, Data Subsetting, Data Archiving, Data Virtualization, Project Management, Data Modelling, Database Development, Test Data Tools, Source Code Management, Cloud Technology
Specialization
Candidates must be currently enrolled in relevant technology programs and have familiarity with technologies such as Java, Scala, Python, Pyspark, or SQL. Practical experience in data management and familiarity with tools like GIT, Jira, and Confluence are also required.
Director of Data Consulting at Wunderman Thompson MAP
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Consulting, Analytics, Crm, Marketing Data, Data Solutions, Client Engagement, Communication, Problem Solving, Business Acumen, Data Analysis, Measurement Frameworks, Stakeholder Management, Cloud Computing, Ai, Collaboration, Leadership
Specialization
Candidates should have a strong background in data and technology, with at least 10-15 years of experience in a senior consultant role related to marketing data. Strong communication skills and the ability to build relationships with clients are essential.
Experience Required
Minimum 10 year(s)
Data Science Senior Manager at Gusto, Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Science, Product Analytics, Statistical Reasoning, Ai Tools, Cross Functional Collaboration, Executive Communication, Team Management, Experimentation, Business Strategy, Technical Fluency, User Engagement, Customer Segmentation, Churn Prediction, Saas, Data Engineering, Machine Learning
Specialization
Candidates should have 10+ years of experience in data science, with at least 4 years in a management role. Deep expertise in product analytics and strong technical fluency are essential, along with excellent communication skills.
Experience Required
Minimum 10 year(s)
Data Engineer, Investment Research and Data Science at CPP Investments
Toronto, Ontario, Canada - Full Time
Skills Needed
Python, Sql, Data Management, Data Analysis, Big Data Workflows, Analytic Tools, Airflow, Cloud Infrastructure, Process Automation, Data Quality, Statistical Modeling, Aws, Databricks, Interpersonal Skills, Collaboration, Attention To Detail
Specialization
Candidates should have a minimum of an undergraduate degree and 3-5 years of relevant work experience, with a strong passion for data management and analysis. Core technical skills include proficiency in Python and SQL, with experience in AWS and Databricks being a plus.
Experience Required
Minimum 2 year(s)
Data Analytics Summer Student at Motor Coach Industries
Winnipeg, Manitoba, Canada - Full Time
Skills Needed
Data Integration, Etl, Data Quality, Dashboard Development, Collaboration, Performance Optimization, Documentation, Training, Python, Sql, Bi Visualization, Power Bi, Data Warehousing, Statistics, Artificial Intelligence, Deep Learning
Specialization
Candidates should have post-secondary education in a Business or STEM field and two years of experience with databases, ETL, and BI product development. Proficiency in Python, SQL, and BI visualization tools like Power BI is preferred.
Experience Required
Minimum 2 year(s)
EverPro - Growth Data Analyst at EverCommerce & Fieldpoint
Mississauga, Ontario, Canada - Full Time
Skills Needed
Sql, Data Visualization, Looker, Tableau, Power Bi, Marketing Analytics, Growth Analytics, Saas, Attribution, Unit Economics, Cac, Ltv, Forecasting, Budgeting, Data Infrastructure, Cdp
Specialization
Candidates need 4+ years of experience in marketing or growth analytics, preferably in SaaS, with strong SQL skills for building performance reporting datasets and experience integrating marketing data sources with BI tools. A strong understanding of acquisition funnels, attribution, and unit economics is essential for success.
Experience Required
Minimum 2 year(s)
Senior Data Scientist - GenAI at Manulife
, Newfoundland and Labrador, Canada - Full Time
Skills Needed
Machine Learning, Generative Ai, Prompt Engineering, Rag Applications, Python, Azure Cognitive Search, Langchain, Semantic Kernel, Pytorch, Scikit Learn, Sql, Azure Ml, Databricks, Data Analysis, Collaboration, Problem Solving
Specialization
Candidates must have proven experience as a Senior Data Scientist with a focus on machine learning and Generative AI technologies. Proficiency in programming languages like Python and experience with cloud platforms, particularly Azure, are also required.
Experience Required
Minimum 5 year(s)
Lead Data / Reporting Analyst at Citi
Mississauga, Ontario, Canada - Full Time
Skills Needed
Tableau, Data Visualization, Sql, Data Modeling, Performance Tuning, Agile, Project Management, Communication, Stakeholder Management, Business Intelligence, Data Extraction, Unit Testing, Troubleshooting, Financial Domain, Market Risk, Cicd Pipelines
Specialization
Candidates should have a bachelor's degree in a relevant field and at least 10 to 13 years of experience, with proficiency in Tableau and a strong understanding of data visualization principles. Experience in SQL, data modeling, and the financial domain, particularly market risk, is preferred.
Experience Required
Minimum 10 year(s)
Senior Data Scientist - GenAI at Manulife
, Newfoundland and Labrador, Canada - Full Time
Skills Needed
Machine Learning, Generative Ai, Prompt Engineering, Data Mining, Probabilistic Models, Python, Pytorch, Scikit Learn, Hugging Face, Sql, Graph Databases, Collaboration, Problem Solving, Critical Thinking, Communication, Software Engineering
Specialization
Candidates must have a Bachelor's, Master's, or Ph.D. in a relevant field and at least 5 years of experience in machine learning and generative AI. Proficiency in programming languages like Python and experience with machine learning libraries are also required.
Experience Required
Minimum 5 year(s)
Data Scientist, ADE Analytics at Amazon SZ South 3 GmbH
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Analysis, Statistical Methodologies, Product Insights, Sql, Etl, Python, R, Sas, Matlab, Machine Learning, Statistical Modeling, Data Visualization, Communication, Problem Solving, Framework Building, Data Pipelines
Specialization
Candidates need a minimum of two years of experience as a Data Scientist, including proficiency in data querying languages like SQL and scripting languages like Python, along with experience in machine learning and statistical modeling techniques. A Master's degree in a STEM field or equivalent professional experience is required.
Experience Required
Minimum 2 year(s)
Senior Manager, Data Strategy at Royal Bank of Canada
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Strategy, Finance Transformation, Enterprise Data Design, Erp Enablement, Global Data Design, Data Governance, Stakeholder Management, Change Leadership, Critical Thinking, Data Administration, Data Management, Data Warehousing, Enterprise Data Strategy
Specialization
Candidates must possess over 7 years of experience in data strategy, finance transformation, or enterprise data design, coupled with a strong understanding of Finance data domains. Essential skills include proven ability to translate complex technical concepts into business insights, strong executive communication, stakeholder management, and change leadership capabilities.
Experience Required
Minimum 5 year(s)
Senior Analyst, Data Sciences at Bank of Montreal
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Analytics, Machine Learning, Statistical Modeling, Data Visualization, Programming, Data Mining, Data Cleansing, Predictive Modeling, Collaboration, Problem Solving, Communication, Innovation, Automation, Big Data, Econometrics, Ai
Specialization
Candidates should have 1-2 years of relevant experience and a graduate-level degree in a related field, or an equivalent combination of education and experience. Proficiency in statistical analysis, data mining, programming languages, and machine learning techniques is required.
Experience Required
Minimum 2 year(s)
Senior Data Engineer - CANADA at UnitedHealth Group Canada
Burnaby, British Columbia, Canada - Full Time
Skills Needed
Data Engineering, Python, Sql, Data Lake, Data Warehouse, Data Migration, Cloud Integrations, Github, Big Data, Spark, Hadoop, Kafka, Data Security, Machine Learning, Api Technologies, Healthcare Knowledge
Specialization
Candidates must have at least 6 years of experience in Data Engineering and 2 years of experience in Python and SQL. Additional requirements include hands-on experience with Data Lakes, Data Warehouses, and big data tools.
Experience Required
Minimum 5 year(s)
Data Implementation Engineer at Odaia Intelligence Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Migration, Etl, Pyspark, Snowflake, Python, Sql, Cloud Platforms, Aws, Apis, Integration Frameworks, Data Analysis, Querying, Data Ingestion, System Configuration, Troubleshooting, Security Protocols
Specialization
Candidates must possess over 3 years of experience with data migration, ETL tools, and large data technologies like PySpark and Snowflake, alongside strong proficiency in programming (Python, SQL) and cloud platforms (AWS). Familiarity with APIs, integration frameworks, and previous experience in the life sciences/pharma industry are considered strong assets.
Experience Required
Minimum 2 year(s)
Staff Behavioral Data Scientist at Okta
Toronto, Ontario, Canada - Full Time
Skills Needed
Behavioral Science, Data Science, Predictive Modeling, Segmentation, Sql, Python, User Behavior, Data Integration, Collaboration, Experimentation, Analytics, Problem Solving, Communication, Product Analytics, Saas, Ux Research
Specialization
Candidates should have over 6 years of experience in behavioral science research and data science, with strong analytical skills and proficiency in SQL and Python. A deep understanding of user behavior in digital environments and experience collaborating with cross-functional teams are also essential.
Experience Required
Minimum 5 year(s)
Senior Software Engineer, Data at Affinity
, , Canada - Full Time
Skills Needed
Software Engineering, Data Engineering, Event Streaming, Batch Processing, Distributed Systems, Kafka, Aws Sqs, Apache Spark, Sql, Cloud Platforms, Ci/Cd, Data Quality, Data Security, Infrastructure As Code, Data Pipelines, Data Monitoring
Specialization
Candidates should have 6+ years of experience in software or data engineering, with at least 2-3 years in a senior role. Proficiency in event streaming, batch processing, and distributed data systems is essential.
Experience Required
Minimum 5 year(s)
Data Architect - Vice President at Citi
Mississauga, Ontario, Canada - Full Time
Skills Needed
Data Modeling, Data Warehousing, Etl Processes, Ai Principles, Dbms, Big Data Technologies, Business Intelligence, Data Governance, Cloud Computing, Communication, Collaboration
Specialization
Candidates should have 6+ years of professional experience in software development, preferably in the finance industry. Expertise in data modeling, data warehousing, ETL processes, and various database management systems is required.
Experience Required
Minimum 5 year(s)
Senior Data Solution Architect at FULFILLMENT IQ INC
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Architecture, Data Engineering, Google Cloud Platform (Gcp), Snowflake, Data Modeling, Bigquery, Dataflow, Pub/Sub, Cloud Storage, Cloud Sql, Cloud Spanner, Apache Iceberg, Cdc, Apache Flink, Apache Kafka, Sql
Specialization
Candidates must possess over 8 years of experience in data architecture or engineering, with at least 3 years as a solution architect, alongside deep expertise in GCP services and Snowflake. A strong hands-on background in designing data pipelines, implementing real-time streaming, and understanding supply chain/logistics domains is mandatory.
Experience Required
Minimum 10 year(s)
Salesforce Data Cloud Developer at Maarut
Toronto, Ontario, Canada - Full Time
Skills Needed
Salesforce Data Cloud, Salesforce Platform, Data Modeling, Schema Design, Data Governance, Data Quality, Security, Configuration, Customization, Integrations, Troubleshooting, Sql, Database Design, Technical Leadership
Specialization
Candidates must possess 5-8 years of hands-on experience with Salesforce Data Cloud and the core Salesforce platform, focusing on designing robust and scalable solutions. Proficiency in SQL, data modeling, database design, and maintaining high data quality and security standards is essential.
Experience Required
Minimum 5 year(s)
Data Engineer - Copilot AI at Microsoft
Vancouver, British Columbia, Canada -
Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

203900.0

Posted On

07 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Machine Learning, Data Modeling, Data Governance, Azure AI, Power Platform, Automation, Data Quality, Semantic Modeling, APIs, CI/CD, Incident Response, Prompt Engineering, Data Reliability Engineering, Metadata Management, Agile Methodologies

Industry

Software Development

Description
Overview With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world. The Customer Experience Architecture (CXA) organization leads the design of our AI-enabled integrated Customer Success and Support motions across CE&S and drives the implementation requirements across end-to-end customer experience architectures, improving the quality and experience KPIs across CE&S. The CE&S Business Intelligence (BI) Team is responsible for delivering data-driven decision-making and self-serve analytics to optimize customer experience and support operations across Microsoft's assisted and self-service support surfaces. We build and manage data platforms and data flows, oversee data and measurement governance, develop Machine Learning (ML) models, manage support-critical data tools, and provide both core and business-specific analytics resources and guidance. We are seeking a goal‑driven Data Engineer - Copilot AI with deep expertise in building scalable data products, data agents across self-services surfaces. In this role, you will partner closely with engineering and business stakeholders to translate complex requirements into reliable, high‑impact solutions. You will deliver clear insights, shape technical direction, and collaborate across product, program, and data engineering teams to enable data‑driven decision making. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities Design and develop intelligent Data Agents within Microsoft Fabric to enable semantic query capabilities on structured datasets. Orchestrate multi-agent workflows using AI Foundry and Copilot Studio for end to end data coverage and workflow integration. Collaborate with cross-functional teams to develop robust user stories, acceptance criteria, and orchestration requirements that align with business objectives Integrate agentic solutions with enterprise data platforms to support conversational experiences and advanced orchestration patterns. Evangelize agent development best practices, mentor peers on Fabric agent frameworks and semantic modeling, and contribute to internal communities. Develop enterprise semantic models and metadata layers to support BI and AI-driven applications, ensuring scalability and high-performance standards. Maintain high standards of data quality, accuracy, timeliness, and compliance with security and privacy requirements. Build automation frameworks to accelerate semantic model creation, agent development, and validation processes Drive inclusion and security compliance in all engineering and automation initiatives. Qualifications Required/Minimum Qualifications Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience. Experience in designing and developing Copilot Agents and Power Platform solutions (Power Apps, Power Automate) Other Requirements: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter. Additional or Preferred Qualifications Familiarity with working with Azure AI Foundry, and other LLMs like GPTs, Grok, Claude, Gemini Understanding of integration patterns, AI Orchestration, Prompt Engineering, APIs, and Connectors. Data reliability engineering: CI/CD (Azure DevOps/GitHub), automated testing (e.g., Great Expectations or equivalent), monitoring/alerting, incident response, and cost management. Governance & security: taxonomy/business rules, lineage/metadata, GDPR/PII controls, and access management. Proven ability to convert ambiguous business needs into implementable technical designs; ship iteratively in agile environments; write high‑quality documentation and communicate clearly to diverse audiences. Data Engineering IC4 - The typical base pay range for this role across Canada is CAD $114,400 - CAD $203,900 per year. Find additional pay information here: https://careers.microsoft.com/v2/global/en/canada-pay-information.html Data Engineering IC4 - L'échelle salariale de base typique pour ce rôle dans l'ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année. Pour plus d'information au sujet de la rémunération, veuillez cliquer ici: https://careers.microsoft.com/v2/global/en/canada-pay-information.html Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Responsibilities
Design and develop intelligent Data Agents within Microsoft Fabric and orchestrate multi-agent workflows for data coverage. Collaborate with cross-functional teams to align technical solutions with business objectives.
Data Engineer - Copilot AI at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Engineering, Machine Learning, Data Modeling, Data Governance, Azure Ai, Power Platform, Automation, Data Quality, Semantic Modeling, Apis, Ci/Cd, Incident Response, Prompt Engineering, Data Reliability Engineering, Metadata Management, Agile Methodologies
Specialization
Candidates must have a Master's or Bachelor's degree in a related field with relevant experience in data engineering or analytics. Familiarity with Azure AI Foundry and experience in developing Copilot Agents are also required.
Experience Required
Minimum 5 year(s)
Data Engineer Intern/Co-op at TD Canada Trust
Toronto, Ontario, Canada - Full Time
Skills Needed
Java, Scala, Python, Pyspark, Sql, Data Generation, Data Masking, Data Subsetting, Data Archiving, Data Virtualization, Project Management, Data Modelling, Database Development, Test Data Tools, Source Code Management, Cloud Technology
Specialization
Candidates must be currently enrolled in relevant technology programs and have familiarity with technologies such as Java, Scala, Python, Pyspark, or SQL. Practical experience in data management and familiarity with tools like GIT, Jira, and Confluence are also required.
Director of Data Consulting at Wunderman Thompson MAP
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Consulting, Analytics, Crm, Marketing Data, Data Solutions, Client Engagement, Communication, Problem Solving, Business Acumen, Data Analysis, Measurement Frameworks, Stakeholder Management, Cloud Computing, Ai, Collaboration, Leadership
Specialization
Candidates should have a strong background in data and technology, with at least 10-15 years of experience in a senior consultant role related to marketing data. Strong communication skills and the ability to build relationships with clients are essential.
Experience Required
Minimum 10 year(s)
Data Science Senior Manager at Gusto, Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Science, Product Analytics, Statistical Reasoning, Ai Tools, Cross Functional Collaboration, Executive Communication, Team Management, Experimentation, Business Strategy, Technical Fluency, User Engagement, Customer Segmentation, Churn Prediction, Saas, Data Engineering, Machine Learning
Specialization
Candidates should have 10+ years of experience in data science, with at least 4 years in a management role. Deep expertise in product analytics and strong technical fluency are essential, along with excellent communication skills.
Experience Required
Minimum 10 year(s)
Data Engineer, Investment Research and Data Science at CPP Investments
Toronto, Ontario, Canada - Full Time
Skills Needed
Python, Sql, Data Management, Data Analysis, Big Data Workflows, Analytic Tools, Airflow, Cloud Infrastructure, Process Automation, Data Quality, Statistical Modeling, Aws, Databricks, Interpersonal Skills, Collaboration, Attention To Detail
Specialization
Candidates should have a minimum of an undergraduate degree and 3-5 years of relevant work experience, with a strong passion for data management and analysis. Core technical skills include proficiency in Python and SQL, with experience in AWS and Databricks being a plus.
Experience Required
Minimum 2 year(s)
Data Analytics Summer Student at Motor Coach Industries
Winnipeg, Manitoba, Canada - Full Time
Skills Needed
Data Integration, Etl, Data Quality, Dashboard Development, Collaboration, Performance Optimization, Documentation, Training, Python, Sql, Bi Visualization, Power Bi, Data Warehousing, Statistics, Artificial Intelligence, Deep Learning
Specialization
Candidates should have post-secondary education in a Business or STEM field and two years of experience with databases, ETL, and BI product development. Proficiency in Python, SQL, and BI visualization tools like Power BI is preferred.
Experience Required
Minimum 2 year(s)
EverPro - Growth Data Analyst at EverCommerce & Fieldpoint
Mississauga, Ontario, Canada - Full Time
Skills Needed
Sql, Data Visualization, Looker, Tableau, Power Bi, Marketing Analytics, Growth Analytics, Saas, Attribution, Unit Economics, Cac, Ltv, Forecasting, Budgeting, Data Infrastructure, Cdp
Specialization
Candidates need 4+ years of experience in marketing or growth analytics, preferably in SaaS, with strong SQL skills for building performance reporting datasets and experience integrating marketing data sources with BI tools. A strong understanding of acquisition funnels, attribution, and unit economics is essential for success.
Experience Required
Minimum 2 year(s)
Senior Data Scientist - GenAI at Manulife
, Newfoundland and Labrador, Canada - Full Time
Skills Needed
Machine Learning, Generative Ai, Prompt Engineering, Rag Applications, Python, Azure Cognitive Search, Langchain, Semantic Kernel, Pytorch, Scikit Learn, Sql, Azure Ml, Databricks, Data Analysis, Collaboration, Problem Solving
Specialization
Candidates must have proven experience as a Senior Data Scientist with a focus on machine learning and Generative AI technologies. Proficiency in programming languages like Python and experience with cloud platforms, particularly Azure, are also required.
Experience Required
Minimum 5 year(s)
Lead Data / Reporting Analyst at Citi
Mississauga, Ontario, Canada - Full Time
Skills Needed
Tableau, Data Visualization, Sql, Data Modeling, Performance Tuning, Agile, Project Management, Communication, Stakeholder Management, Business Intelligence, Data Extraction, Unit Testing, Troubleshooting, Financial Domain, Market Risk, Cicd Pipelines
Specialization
Candidates should have a bachelor's degree in a relevant field and at least 10 to 13 years of experience, with proficiency in Tableau and a strong understanding of data visualization principles. Experience in SQL, data modeling, and the financial domain, particularly market risk, is preferred.
Experience Required
Minimum 10 year(s)
Senior Data Scientist - GenAI at Manulife
, Newfoundland and Labrador, Canada - Full Time
Skills Needed
Machine Learning, Generative Ai, Prompt Engineering, Data Mining, Probabilistic Models, Python, Pytorch, Scikit Learn, Hugging Face, Sql, Graph Databases, Collaboration, Problem Solving, Critical Thinking, Communication, Software Engineering
Specialization
Candidates must have a Bachelor's, Master's, or Ph.D. in a relevant field and at least 5 years of experience in machine learning and generative AI. Proficiency in programming languages like Python and experience with machine learning libraries are also required.
Experience Required
Minimum 5 year(s)
Data Scientist, ADE Analytics at Amazon SZ South 3 GmbH
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Analysis, Statistical Methodologies, Product Insights, Sql, Etl, Python, R, Sas, Matlab, Machine Learning, Statistical Modeling, Data Visualization, Communication, Problem Solving, Framework Building, Data Pipelines
Specialization
Candidates need a minimum of two years of experience as a Data Scientist, including proficiency in data querying languages like SQL and scripting languages like Python, along with experience in machine learning and statistical modeling techniques. A Master's degree in a STEM field or equivalent professional experience is required.
Experience Required
Minimum 2 year(s)
Senior Manager, Data Strategy at Royal Bank of Canada
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Strategy, Finance Transformation, Enterprise Data Design, Erp Enablement, Global Data Design, Data Governance, Stakeholder Management, Change Leadership, Critical Thinking, Data Administration, Data Management, Data Warehousing, Enterprise Data Strategy
Specialization
Candidates must possess over 7 years of experience in data strategy, finance transformation, or enterprise data design, coupled with a strong understanding of Finance data domains. Essential skills include proven ability to translate complex technical concepts into business insights, strong executive communication, stakeholder management, and change leadership capabilities.
Experience Required
Minimum 5 year(s)
Senior Analyst, Data Sciences at Bank of Montreal
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Analytics, Machine Learning, Statistical Modeling, Data Visualization, Programming, Data Mining, Data Cleansing, Predictive Modeling, Collaboration, Problem Solving, Communication, Innovation, Automation, Big Data, Econometrics, Ai
Specialization
Candidates should have 1-2 years of relevant experience and a graduate-level degree in a related field, or an equivalent combination of education and experience. Proficiency in statistical analysis, data mining, programming languages, and machine learning techniques is required.
Experience Required
Minimum 2 year(s)
Senior Data Engineer - CANADA at UnitedHealth Group Canada
Burnaby, British Columbia, Canada - Full Time
Skills Needed
Data Engineering, Python, Sql, Data Lake, Data Warehouse, Data Migration, Cloud Integrations, Github, Big Data, Spark, Hadoop, Kafka, Data Security, Machine Learning, Api Technologies, Healthcare Knowledge
Specialization
Candidates must have at least 6 years of experience in Data Engineering and 2 years of experience in Python and SQL. Additional requirements include hands-on experience with Data Lakes, Data Warehouses, and big data tools.
Experience Required
Minimum 5 year(s)
Data Implementation Engineer at Odaia Intelligence Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Migration, Etl, Pyspark, Snowflake, Python, Sql, Cloud Platforms, Aws, Apis, Integration Frameworks, Data Analysis, Querying, Data Ingestion, System Configuration, Troubleshooting, Security Protocols
Specialization
Candidates must possess over 3 years of experience with data migration, ETL tools, and large data technologies like PySpark and Snowflake, alongside strong proficiency in programming (Python, SQL) and cloud platforms (AWS). Familiarity with APIs, integration frameworks, and previous experience in the life sciences/pharma industry are considered strong assets.
Experience Required
Minimum 2 year(s)
Staff Behavioral Data Scientist at Okta
Toronto, Ontario, Canada - Full Time
Skills Needed
Behavioral Science, Data Science, Predictive Modeling, Segmentation, Sql, Python, User Behavior, Data Integration, Collaboration, Experimentation, Analytics, Problem Solving, Communication, Product Analytics, Saas, Ux Research
Specialization
Candidates should have over 6 years of experience in behavioral science research and data science, with strong analytical skills and proficiency in SQL and Python. A deep understanding of user behavior in digital environments and experience collaborating with cross-functional teams are also essential.
Experience Required
Minimum 5 year(s)
Senior Software Engineer, Data at Affinity
, , Canada - Full Time
Skills Needed
Software Engineering, Data Engineering, Event Streaming, Batch Processing, Distributed Systems, Kafka, Aws Sqs, Apache Spark, Sql, Cloud Platforms, Ci/Cd, Data Quality, Data Security, Infrastructure As Code, Data Pipelines, Data Monitoring
Specialization
Candidates should have 6+ years of experience in software or data engineering, with at least 2-3 years in a senior role. Proficiency in event streaming, batch processing, and distributed data systems is essential.
Experience Required
Minimum 5 year(s)
Data Architect - Vice President at Citi
Mississauga, Ontario, Canada - Full Time
Skills Needed
Data Modeling, Data Warehousing, Etl Processes, Ai Principles, Dbms, Big Data Technologies, Business Intelligence, Data Governance, Cloud Computing, Communication, Collaboration
Specialization
Candidates should have 6+ years of professional experience in software development, preferably in the finance industry. Expertise in data modeling, data warehousing, ETL processes, and various database management systems is required.
Experience Required
Minimum 5 year(s)
Senior Data Solution Architect at FULFILLMENT IQ INC
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Architecture, Data Engineering, Google Cloud Platform (Gcp), Snowflake, Data Modeling, Bigquery, Dataflow, Pub/Sub, Cloud Storage, Cloud Sql, Cloud Spanner, Apache Iceberg, Cdc, Apache Flink, Apache Kafka, Sql
Specialization
Candidates must possess over 8 years of experience in data architecture or engineering, with at least 3 years as a solution architect, alongside deep expertise in GCP services and Snowflake. A strong hands-on background in designing data pipelines, implementing real-time streaming, and understanding supply chain/logistics domains is mandatory.
Experience Required
Minimum 10 year(s)
Salesforce Data Cloud Developer at Maarut
Toronto, Ontario, Canada - Full Time
Skills Needed
Salesforce Data Cloud, Salesforce Platform, Data Modeling, Schema Design, Data Governance, Data Quality, Security, Configuration, Customization, Integrations, Troubleshooting, Sql, Database Design, Technical Leadership
Specialization
Candidates must possess 5-8 years of hands-on experience with Salesforce Data Cloud and the core Salesforce platform, focusing on designing robust and scalable solutions. Proficiency in SQL, data modeling, database design, and maintaining high data quality and security standards is essential.
Experience Required
Minimum 5 year(s)