Data Analysts Jobs, Openings, Vacancies in Canada

Senior Software Engineer, Data at Affinity

Toronto, Ontario, 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 Processes, Data Quality, Data Security, Infrastructure As Code, Data Consistency, Machine Learning

Specialization
5+ years of experience in software or data engineering, with 2-3 years in a senior role is required. Proficiency in event streaming, batch processing, and experience with distributed data systems and cloud platforms is essential.

Experience Required
Minimum 5 year(s)

Client Billing and Data Analyst at MAPLES GROUP

Montreal, Quebec, Canada - Full Time

Skills Needed
N/A

Specialization
Candidates should have a background in data analysis and billing processes. Strong analytical skills and attention to detail are essential for this position.

Chef.fe d'équipe - Produit Data at Ubisoft

Montreal, Quebec, Canada - Full Time

Skills Needed
Data Analysis, Leadership, Agile Methodologies, Power Bi, Collaboration, Product Management, Kpi Development, Data Visualization, Cross Functional Teamwork, Strategic Thinking, User Story Management, Technical Specifications, Performance Metrics, Testing Scenarios, Communication Skills, Data Quality Management

Specialization
The role requires mastery of data visualization tools and proven experience in team management with strong leadership skills. You should also have a solid understanding of Agile practices and the ability to influence stakeholders at various levels.

Experience Required
Minimum 5 year(s)

Onboarding Data Architect, AVP at Morgan Stanley

Calgary, Alberta, Canada - Full Time

Skills Needed
Data Management, Project Management, Communication Skills, Analytical Skills, Problem Solving, Attention To Detail, Technical Background, Agile Methodologies, Excel Skills, Client Relationship Management, Software Development, Configuration Management, Quality Control, Data Migration, Team Collaboration, Self Motivation

Specialization
Candidates should have a BS/BA degree or equivalent experience, with a minimum of three years managing software or onboarding projects. A strong technical background and experience with data migration are preferred, along with excellent planning and communication skills.

Experience Required
Minimum 2 year(s)

Data Engineer Senior Consultant at NTT DATA

Montreal, Quebec, Canada - Full Time

Skills Needed
Snowflake, Airflow, Dbt, Spark, Sql, Plsql, Python, Pandas, Numpy, Pyspark, Data Warehousing, Performance Tuning, E R Data Models, Ci/Cd, Data Pipelines, Analytical Skills

Specialization
A bachelor's degree in a relevant field and at least 10 years of experience in data development are required. Candidates should have extensive experience with SQL, Snowflake, and data pipeline solutions.

Experience Required
Minimum 10 year(s)

Data Science Intern - Summer 2026 at Visa

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Analytics, Statistical Models, Quantitative Techniques, Machine Learning, Python, Sql, Data Visualization, Communication Skills, Generative Ai, Hadoop, Pyspark, Power Bi, Tableau, Intellectual Curiosity, Financial Services

Specialization
Candidates should be pursuing a master's degree in a relevant STEM field and possess strong communication skills. Familiarity with Generative AI tools, database tools, programming languages, and machine learning frameworks is preferred.

Data Engineer Senior Consultant at NTT DATA

Montreal, Quebec, Canada - Full Time

Skills Needed
Data Engineering, Snowflake, Python, Sql, Plsql, Etl, Airflow, Dbt, Data Warehousing, Data Pipelines, Performance Tuning, Analytical Skills, Problem Solving, Collaboration, Cloud Technologies, Agile

Specialization
Candidates must have a bachelor's degree in a related field and at least 10 years of experience in data development. Proficiency in SQL, Snowflake, and Python, along with experience in hybrid data environments, is required.

Experience Required
Minimum 10 year(s)

Inventory - Field Data Collector at Acosta Sales Marketing

Mississauga, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It is implied that basic data collection skills and familiarity with handheld devices are necessary.

Inventory - Field Data Collector at Acosta Sales Marketing

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It is implied that basic data collection skills and familiarity with handheld devices are necessary.

Inventory - Field Data Collector at Acosta Sales Marketing

Ottawa, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It focuses on the responsibilities of data collection and transmission.

Inventory - Field Data Collector at Acosta Sales Marketing

Fort Erie, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It focuses on the responsibilities of data collection.

Product Manager - Data Structures at Citylitics

Toronto, Ontario, Canada - Full Time

Skills Needed
Product Management, Data Structuring, Schema Design, Data Engineering, Data Modeling, Cross Functional Collaboration, Data Quality, Data Governance, Data Analysis, Software Development, Customer Experience, Data Standardization, Process Design, Technical Understanding, Feature Performance, Data Scalability

Specialization
The ideal candidate should have 2+ years of experience in a relevant role with a strong technical understanding of data modeling paradigms. Experience in collaborating with cross-functional teams and designing processes for data standardization is also essential.

Experience Required
Minimum 2 year(s)

Director, Principal Data Engineer at Mastercard

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Data Engineering, Artificial Intelligence, Machine Learning, Sql, Pyspark, Hadoop, Databricks, Linux, Bash, Python, Java, C++, Problem Solving, Data Governance, Data Quality, Automation

Specialization
Extensive data engineering experience and significant leadership roles are required. Candidates should have experience with SQL, PySpark, Hadoop, and Databricks, along with a strong understanding of data governance and automation.

Experience Required
Minimum 10 year(s)

Senior Data Engineer (Cloud/AWS) at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Skills Needed
Amazon S3, Aws, Pyspark, Python, Docker, Kubernetes, Devops, Etl, Agile, Scrum, Kanban, Big Data, Data Warehousing, Data Mining, Cloud Computing, Quality Management

Specialization
Candidates must have over 5 years of experience with AWS and PySpark, along with familiarity in containerization and DevOps practices. Strong problem-solving skills and the ability to mentor others are also essential.

Experience Required
Minimum 5 year(s)

Senior Product Manager - FinData at AlphaSense

, , Canada - Full Time

Skills Needed
Product Management, Saas Products, Financial Data, Excel Add Ins, Financial Modeling, Communication, Organizational Skills, Detail Oriented, Strategic Thinking, Client Workflows, Data Access, Collaboration, Quality Assurance, Api Performance, Data Accuracy

Specialization
An experienced Product Manager with at least 2 years in SaaS product development is required. Familiarity with financial data products, particularly Excel add-ins, is preferred.

Experience Required
Minimum 2 year(s)

Manager, Sales Data Quality (AI) at Motive

, , Canada - Full Time

Skills Needed
People Management, Sales Data Quality, Sql, Python, Ai, Ml Techniques, Data Enrichment, Validation, Anomaly Detection, Data Quality Solutions, Cloud Based Data Platforms, Etl Tools, Crm Systems, Communication Skills, Project Management, Stakeholder Engagement

Specialization
Candidates should have experience in sales data quality within a high-growth SaaS environment. Proficiency in SQL, Python, and modern AI/ML techniques is essential for this role.

Experience Required
Minimum 5 year(s)

Sr. AI Engineer, Data & Insights at Viral Nation Inc.

Toronto, Ontario, Canada - Full Time

Skills Needed
Machine Learning, Ai Engineering, Data Integration, Google Cloud Platform, Bigquery, Snowflake, Python, Sql, Business Intelligence, Data Analysis, Mlops, Analytical Skills, Problem Solving, Communication Skills, Project Management, Langchain

Specialization
Candidates should have over 7 years of experience in software systems and 3-5 years in AI or LLMs, with strong technical skills in Google Cloud Platform and data integration. Business acumen and the ability to translate data insights into business value are also essential.

Experience Required
Minimum 5 year(s)

Inventory - Field Data Collector at Acosta Sales Marketing

Sherbrooke, Quebec, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Transmitting Data

Inventory - Field Data Collector at Acosta Sales Marketing

North York, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Inventory - Field Data Collector at Acosta Sales Marketing

Quebec, Quebec, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Senior Software Engineer, Data at Affinity

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

187000.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Engineering, Event Streaming, Batch Processing, Distributed Systems, Kafka, AWS SQS, Apache Spark, SQL, Cloud Platforms, CI/CD Processes, Data Quality, Data Security, Infrastructure as Code, Data Consistency, Machine Learning

Industry

Software Development

Description

Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into their team's network of opportunities. This role is part of the AI Insights team, which owns the services that power Affinity's industry-leading relationship intelligence platform. Our team extracts and retrieves information from billions of structured and unstructured data points to deliver insights to our customers. As a Senior Software Engineer, Data, you will collaborate with machine learning engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. This involves designing and building scalable, efficient event streaming processing pipelines and batch processing pipelines to transform and load data into distributed data storage. You will play a key role in enhancing our frameworks to monitor data quality, safeguard data security, and implement best practices. What you’ll be doing: Design scalable and reliable data pipelines to consume, integrate and analyze large volumes of complex data from different sources, supporting the evolving needs of our business. Help define our data roadmap. You'll collaborate with our team of machine learning engineers, software engineers, product, and business leaders to shape product development. Build and maintain frameworks for measuring and monitoring data quality and integrity. Establish and optimize CI/CD processes, test frameworks, and infrastructure-as-code tooling. Build and implement robust data-intensive applications over distributed systems. Articulate the trade-offs of different approaches to building data pipelines and storage solutions, providing clear recommendations aligned with product and business requirements. Qualifications: Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they meet every qualification. At Affinity, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your past experience doesn’t perfectly align with the qualifications above, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Required: 5+ years of experience as a Software Engineer or Data Engineer with at least 2-3 years in a Senior Engineering role, leading complex, and sometimes ambiguous, engineering projects across team boundaries. Proficiency in event streaming and batch processing pipelines for data-intensive applications is essential. Proven hands-on experience with scalable and robust distributed data systems using Kafka, AWS SQS or similar technologies. Comfortable working with large datasets and high-scale data ingestion, transformation, and distributed processing tools such as Apache Spark. Strong proficiency in SQL. Experience with cloud platforms such as AWS, Databricks, GCP, Azure or related technologies. Familiar with CI/CD processes and test frameworks. Comfortable partnering with product and machine learning teams on large, strategic data projects. Nice to have: Hands-on experience with both relational and non-relational database/data stores, including vector databases (e.g. Weaviate, Milvus), graph databases, and text search engines (e.g. OpenSearch or Vespa clusters), with a focus on indexing and query optimization. Familiar with industry-standard databases and analytics technologies, including Data Lake and Lakehouse. Experience with Infrastructure as Code (IaC) tools, such as Terraform. Experience implementing data consistency measures using validation and monitoring tools. Tech Stack: Our Data stack includes tools to build data pipelines between AWS RDS and DBX via scheduled batch jobs and streaming syncing. Spark SQL and MLlib for large-scale data processing in DBX. We also build data pipelines between RDS and other search-optimized engines, such as openSearch. In-house data quality tools and governance tools to ensure data quality, security and compliance. How we work: Our culture is a key part of how we operate, as well as our hiring process: We iterate quickly. As such, you must be comfortable embracing ambiguity, be able to cut through it, and deliver value to our customers. We are candid, transparent, and speak our minds while simultaneously caring personally with each person we interact with. We make data-driven decisions and make the best decision for the moment based on the information available. If you’d want to learn more about our values click here. What you'll enjoy at Affinity: We live our values: As owners, we take pride in everything we do. We embrace a growth mindset, engage in respectful candor, act as playmakers, and "taste the soup" by diving deep into experiences to create the best outcomes for our colleagues and clients. Health Benefits: We cover both you and your dependents' extended health benefit premiums and offer flexible personal & sick days to support your well-being. Retirement Planning: We offer an RRSP plan to help you plan for your future. Learning & Development: We provide an annual education budget and a comprehensive L&D program. Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success. Please note that the role compensation details below reflect the base salary only and do not include any equity or benefits. This represents the salary range that Affinity believes, in good faith, at the time of this posting, that it will pay for the posted job. A reasonable estimate of the current range is $113,000 to $187,000 CAD. Within the range, individual pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. About Affinity With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. How? Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed. We use E-Verify Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.

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Responsibilities

Design and build scalable data pipelines to integrate and analyze large volumes of complex data. Collaborate with cross-functional teams to define the data roadmap and enhance frameworks for data quality and security.

Senior Software Engineer, Data at Affinity

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Client Billing and Data Analyst at MAPLES GROUP

Montreal, Quebec, Canada - Full Time

Skills Needed
N/A

Specialization
Candidates should have a background in data analysis and billing processes. Strong analytical skills and attention to detail are essential for this position.

Chef.fe d'équipe - Produit Data at Ubisoft

Montreal, Quebec, Canada - Full Time

Experience Required
Minimum 5 year(s)

Onboarding Data Architect, AVP at Morgan Stanley

Calgary, Alberta, Canada - Full Time

Experience Required
Minimum 2 year(s)

Data Engineer Senior Consultant at NTT DATA

Montreal, Quebec, Canada - Full Time

Skills Needed
Snowflake, Airflow, Dbt, Spark, Sql, Plsql, Python, Pandas, Numpy, Pyspark, Data Warehousing, Performance Tuning, E R Data Models, Ci/Cd, Data Pipelines, Analytical Skills

Experience Required
Minimum 10 year(s)

Data Science Intern - Summer 2026 at Visa

Toronto, Ontario, Canada - Full Time

Data Engineer Senior Consultant at NTT DATA

Montreal, Quebec, Canada - Full Time

Experience Required
Minimum 10 year(s)

Inventory - Field Data Collector at Acosta Sales Marketing

Mississauga, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It is implied that basic data collection skills and familiarity with handheld devices are necessary.

Inventory - Field Data Collector at Acosta Sales Marketing

Toronto, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It is implied that basic data collection skills and familiarity with handheld devices are necessary.

Inventory - Field Data Collector at Acosta Sales Marketing

Ottawa, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It focuses on the responsibilities of data collection and transmission.

Inventory - Field Data Collector at Acosta Sales Marketing

Fort Erie, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Specialization
The job posting does not specify any particular requirements or qualifications. It focuses on the responsibilities of data collection.

Product Manager - Data Structures at Citylitics

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 2 year(s)

Director, Principal Data Engineer at Mastercard

Vancouver, British Columbia, Canada - Full Time

Skills Needed
Data Engineering, Artificial Intelligence, Machine Learning, Sql, Pyspark, Hadoop, Databricks, Linux, Bash, Python, Java, C++, Problem Solving, Data Governance, Data Quality, Automation

Experience Required
Minimum 10 year(s)

Senior Data Engineer (Cloud/AWS) at Dr Bill RBC Ventures

Toronto, Ontario, Canada - Full Time

Skills Needed
Amazon S3, Aws, Pyspark, Python, Docker, Kubernetes, Devops, Etl, Agile, Scrum, Kanban, Big Data, Data Warehousing, Data Mining, Cloud Computing, Quality Management

Experience Required
Minimum 5 year(s)

Senior Product Manager - FinData at AlphaSense

, , Canada - Full Time

Specialization
An experienced Product Manager with at least 2 years in SaaS product development is required. Familiarity with financial data products, particularly Excel add-ins, is preferred.

Experience Required
Minimum 2 year(s)

Manager, Sales Data Quality (AI) at Motive

, , Canada - Full Time

Specialization
Candidates should have experience in sales data quality within a high-growth SaaS environment. Proficiency in SQL, Python, and modern AI/ML techniques is essential for this role.

Experience Required
Minimum 5 year(s)

Sr. AI Engineer, Data & Insights at Viral Nation Inc.

Toronto, Ontario, Canada - Full Time

Experience Required
Minimum 5 year(s)

Inventory - Field Data Collector at Acosta Sales Marketing

Sherbrooke, Quebec, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Transmitting Data

Inventory - Field Data Collector at Acosta Sales Marketing

North York, Ontario, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Inventory - Field Data Collector at Acosta Sales Marketing

Quebec, Quebec, Canada - Full Time

Skills Needed
Data Collection, Retail, Handheld Device, Data Transmission

Data Analysts Jobs in Canada