As of November 6, 2026, Jobsy lists 23 analytics engineer jobs in Canada. The most active employers are Securian Canada, AutoTrader.ca and Create Music Group. Skills often requested: sql, data engineering, python and reporting.
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5+ YOECandidates need 5+ years in data or analytics engineering, with hands-on work on cloud data platforms such as Snowflake, BigQuery or Databricks. They need strong SQL, dimensional modelling and dbt skills, and experience with cloud pipelines and BI or AI tools.
Tantalus: Tantalus is a technology company dedicated to helping utilities modernize their distribution grids by harnessing the power of data across all their…
Candidates need a bachelor's degree in a technical field, 0-2 years of relevant experience, and proficiency in Python and SQL. Experience with data visualization, dashboards or machine learning, plus strong communication skills, is also needed.
3+ YOECandidates need a quantitative bachelor's degree and at least three years of hands-on Python for production-quality code. They also need SQL, ETL or data pipeline experience, and an understanding of the machine learning data lifecycle.
5+ YOECandidates need a bachelor's degree in computer science, data engineering or a related field and 5+ years in analytics engineering or BI platform development. They must have advanced Tableau skills, Tableau Cloud or Server administration experience, strong Python, CI/CD with GitHub or GitLab, and solid SQL and Snowflake knowledge.
7+ YOECandidates need 7+ years of data analytics work in financial services with Finance teams, strong SQL and Python, and experience with pipelines and reconciliations. Clear communication across Engineering and Finance is also required.
6+ YOECandidates need 6+ years in an analytics-focused data role, with strong SQL and dbt skills on a modern warehouse like BigQuery, Snowflake or Redshift. They also need BI dashboard experience and the ability to communicate insights clearly to non-technical stakeholders.
4+ YOECandidates need 4+ years in analytics or data engineering, advanced SQL and data modeling skills, and experience with dbt, Airflow, Git and a modern warehouse such as Databricks. Strong cross-functional communication and domain knowledge in areas like revenue or product telemetry are also required.
Create Music Group: A data-driven music and technology company focused on empowering artists and labels.
2+ YOECandidates need a quantitative bachelor's degree and 2+ years in analytics as an analyst, data engineer or data scientist. Strong SQL, experience building dashboards in Tableau or Sigma, and a knack for turning data into business value are key.
ACV Auctions: ACV is a high growth technology company that provides a vibrant digital marketplace for wholesale vehicle transactions and data services.
3+ YOECandidates need 3+ years in analytics engineering, data engineering or BI, hands-on dbt experience, and expert SQL on BigQuery or a comparable cloud warehouse. A statistics, math, or computer science degree and strong communication skills are also required.
dbt, Omni BI, BigQuery, Git, Google Cloud Platform
4+ YOECandidates need 4+ years in analytics, data or BI engineering, strong SQL and dimensional modeling, dbt or similar tools, Python, and experience with a cloud data warehouse such as Snowflake, Databricks, BigQuery or Redshift. Strong communication and data governance awareness are also expected.
Wirelessdna: Wireless DNA is a Canadian telecommunications provider delivering reliable wireless and connectivity solutions for both businesses and consumers…
3+ YOECandidates need 3 to 5 years in a hands-on data role, strong SQL, PySpark, Power BI with DAX, Power Query and advanced Excel. They must have built automated processes that replaced manual work and be self-directed.
Microsoft Fabric, Power BI, Power Query, Excel, SharePoint, PySpark
Securian Canada: Securian Canada is a leading insurance provider with more than 65 years of experience innovating in the Canadian financial institution and…
8+ YOECandidates need 8+ years of analytics, data or BI engineering experience, advanced SQL skills and experience building production data pipelines and dimensional models. A degree in a related field or equivalent practical experience is also required.
SQL, Python, Cloud data warehouse, Lakehouse platform, BI platform
Securian Canada: Securian Canada is a leading insurance provider with more than 65 years of experience innovating in the Canadian financial institution and…
8+ YOECandidates need 8+ years of analytics, data or BI engineering experience, advanced SQL skills and experience building production data pipelines and dimensional models. A degree in a related field or equivalent practical experience is also required.
SQL, Python, Cloud data warehouse, Lakehouse platform, BI platform
2+ YOECandidates need a bachelor's degree in a technical field, 2+ years in data analytics with some AI exposure, advanced SQL, dbt, Snowflake, Looker, and Python. Cloud, orchestration, Git, and data governance knowledge are also expected.
7+ YOECandidates need 7+ years in data engineering or analytics, expert SQL and data modeling skills, and deep knowledge of Salesforce and GTM systems. They also need dbt, Git, Snowflake or BigQuery experience, and strong communication skills with executives and engineers.
Pomerleau: It specializes in building, infrastructure, and civil engineering sectors, undertaking major projects through alternative delivery methods.
7+ YOEPomerleau needs candidates with at least seven years of data modelling and analysis experience, strong dimensional modelling and SQL skills, and hands-on Microsoft Fabric experience. Strong written and verbal communication in plain language is also required.
Candidates need a degree in computer science, business intelligence or analytics, strong advanced SQL and dimensional modeling skills, and very strong Power BI knowledge. Experience with SAP or other ERP data, dbt and Snowflake is an asset, and fluency in French and English is required.
5+ YOECandidates need 5+ years of data analysis experience, ideally in consulting, with strong SQL and solid knowledge of data modelling, ETL and database design. Experience with Tableau, Power BI or Looker and strong communication skills are also required.
Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise
3+ YOECandidates need at least 3 years in data engineering, analytics or a similar technical role, with strong Python and SQL, cloud data warehouse experience (Snowflake preferred), and ETL/ELT pipeline skills. Strong communication and ownership are also required.
7+ YOECandidates need 7+ years of analytics or data engineering experience, advanced SQL, and dimensional and semantic modeling skills. Strong Python and AWS experience, including Glue, Athena, S3 or MWAA, is needed, along with the ability to lead and mentor.
4+ YOEMercury needs 4+ years of analytics or data engineering experience, skill with SQL and Python, and experience with dimensional data modeling. Candidates should use AI agents to speed up their work and write readable, well-tested code.
Candidates need expert SQL, proven experience designing dimensional models on BigQuery or Snowflake, and hands-on modelling of Salesforce or NetSuite source systems. They also need production Dataform or dbt experience, strong English communication, and a security and compliance mindset covering GDPR, SOX and data access controls.
4+ YOECandidates need 4+ years building analytics or data platforms, expert SQL, production dbt experience and dimensional modeling skills. They should have operated an orchestrator such as Airflow, be comfortable in Python, and be able to work independently.