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Data Analysts Jobs in Canada

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Data Modeler at FULFILLMENT IQ INC
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Modeling, Dimensional Modeling, Snowflake, Supply Chain, Logistics, Warehousing, Sql, Kimball Methodology, Data Lake House, Gcp, Cdc, Data Governance, Mdm Modeling, Json Modeling, Kafka, Feature Store Design
Specialization
Candidates must possess a minimum of 6 years in data modeling roles, including logical, physical, and dimensional modeling, coupled with over 3 years of experience using Snowflake for data engineering and warehousing. Essential domain knowledge includes supply chain, logistics, and warehousing data, alongside strong expertise in SQL and dimensional modeling (Kimball methodology).
Experience Required
Minimum 5 year(s)
Data Analyst at Agri Foods
Burnaby, British Columbia, Canada - Full Time
Skills Needed
Data Validation, Data Migration, Reporting, Testing, Governance Support, Training, Continuous Improvement, Analytical Skills, Negotiation, Project Management, Attention To Detail, Troubleshooting, Communication, Presentation Skills, Power Bi Reporting, Api Connections
Specialization
Candidates need a Bachelor's degree or College Diploma in a relevant field and at least three years of experience working with business systems, including one year in supply chain or a similar area. Essential skills include strong analytical and troubleshooting abilities, excellent communication, and proficiency with technologies like NetSuite, SQL, and Power BI.
Experience Required
Minimum 2 year(s)
Data Analyst at HelloFresh
Toronto, Ontario, Canada - Full Time
Skills Needed
Sql, Bi Tools, Self Service Analytics, Marketing Analytics, Data Storytelling, Forecasting, Analytical Modeling, Data Warehousing, Python
Specialization
Candidates should have advanced SQL skills and experience with BI tools, along with a good understanding of marketing analytics concepts. Familiarity with forecasting and analytical modeling is also desired, along with the ability to present insights to non-technical stakeholders.
Experience Required
Minimum 2 year(s)
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Analysis, Sql, Python, Power Bi, Machine Learning, Data Governance, Analytics, Azure Databricks, Data Modeling, Agile Methodology, Communication, Mentoring, Business Intelligence, Technical Requirements, Data Transformation, Stakeholder Management
Specialization
Candidates must have a Master's or Bachelor's degree in a relevant field along with significant experience in data analysis and reporting. Proficiency in Power BI and SQL, as well as experience with Azure data stack, is also required.
Experience Required
Minimum 5 year(s)
Data Analyst at Bayshore Healthcare Ltd.
Markham, Ontario, Canada - Full Time
Skills Needed
Data Compilation, Data Processing, Reporting, Data Mapping, Report Design, Process Improvement, Data Inquiries, Data Integrity, Policy Development, Data Analysis, Trend Identification, Critical Thinking, Problem Solving, Excel, Power Bi, Microsoft Office
Specialization
Candidates need a Diploma or Degree in Statistics, Data Analytics, or Clinical/Health Informatics, coupled with 12 to 23 years of experience in data management, with clinical/healthcare experience being preferred. Essential abilities include deriving insights from data, fostering collaboration, exceptional analytical skills, and proficiency with data visualization tools like Excel and Power BI.
Experience Required
Minimum 10 year(s)
Data Analyst at NFI Parts
Winnipeg, Manitoba, Canada - Full Time
Skills Needed
Data Cleansing, Data Auditing, Data Transformation, Data Classification, Data Management, Data Validation, Cross Referencing, Erp Systems, Product Data Management, Data Governance, Process Improvement, Sql, Python, Analytical Mindset, Communication, Documentation
Specialization
Successful candidates must have education in Data Science, Statistics, or Business Analytics, along with an understanding of aftermarket parts structure, catalog data, and cross-referencing. Required experience includes data cleansing, auditing, transformation, classification, and proficiency with ERP systems and data management tools like SQL or Python.
Experience Required
Minimum 2 year(s)
Data Analyst at Tangam Systems
Waterloo, Ontario, Canada - Full Time
Skills Needed
Data Analytics, Data Visualization, Sql, Excel, Business Intelligence Tools, Communication, Statistical Concepts, Tableau, Data Modeling
Specialization
Candidates need 1-4 years of data analysis experience, proficiency in Excel, experience with business intelligence tools like Tableau, and knowledge of relational databases with the ability to write SQL. A Bachelor's degree in a quantitative field like Applied Mathematics, Statistics, Business, Economics, or Computer Science/Engineering is required, along with the ability to travel quarterly.
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Sql, Python, Azure Databricks, Synapse, Power Bi, Fabric, Machine Learning, Data Modeling, Agile Methodology, Data Governance, Data Platforms, Data Flows, Dax, Ctes, Pyspark, Data Factory
Specialization
Candidates require a Master's degree with 2+ years of experience or a Bachelor's degree with 4+ years of experience in data analysis, business intelligence, or a related field, including experience with Power BI modeling and DAX. Preferred qualifications include knowledge of SQL (window functions, CTEs), Python/PySpark, and experience with the Azure data stack like Fabric, Synapse, and Databricks.
Experience Required
Minimum 5 year(s)
Data Engineer - Databricks at The Citco Group Limited
Toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Specialization
The job posting does not specify detailed requirements or qualifications. However, it implies a need for relevant experience in data engineering.
Experience Required
Minimum 2 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt Pipelines, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Ingestion, Data Transformation, Schema Validation
Specialization
Candidates must possess over 5 years of experience in Data Engineering, focusing on large-scale ETL/ELT pipelines within a cloud environment, demonstrating proficiency in Azure Data Factory, Databricks, SQL, and Python. Required qualifications also include experience with enterprise platform APIs and using LLMs to streamline workflows.
Experience Required
Minimum 5 year(s)
Data Engineer at NTT DATA
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Python, Sql, Data Pipelines, Data Warehousing, Cloud Technologies, Performance Tuning, Data Validation, Agile Practices, Data Solutions, Data Integration, Analytical Skills, Problem Solving, Communication Skills, E R Data Models, Ci/Cd Tooling
Specialization
Candidates should have over 4 years of experience in data engineering or analytics, with strong skills in SQL and Python. Experience in hybrid data environments and performance tuning is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Odaia Intelligence Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Engineering, Aws, Snowflake, Python, Etl Processes, Sql, Data Integration, Data Management, Automation Tools, Data Pipelines, Apis, Data Models, Collaboration, Healthcare Data, Veeva, Salesforce
Specialization
Candidates should have over 3 years of experience in data engineering and strong proficiency in AWS and Python. Familiarity with data orchestration tools and experience with healthcare-related datasets are also important.
Experience Required
Minimum 2 year(s)
Data Engineer at Xideral
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Etl, Elt, Data Pipeline, Sql, Python, Data Modeling, Architecture, Business Intelligence, Cloud Bi, Rest Api, Agile, Data Profiling, Gdpr, Sox, Ci/Cd
Specialization
Candidates must have a Master’s degree in Business Intelligence or equivalent and strong hands-on experience with technologies such as Snowflake, DBT, and Microsoft SQL Server. Proficiency in SQL and Python, along with experience in data modeling and architecture, is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Charger Logistics Inc
Brampton, Ontario, Canada - Full Time
Skills Needed
Sql, Python, Risingwave, Dbt, Postgresql, Bigquery, Snowflake, Mongodb, Kafka, Airflow, Gcp, Alloydb, Cdc, Pandas, Sqlalchemy, Git
Specialization
Candidates must possess a Bachelor's degree in a related field and have 5+ years of data engineering experience, specifically requiring expertise in SQL, Python, RisingWave, AlloyDB, and CDC. Expert skills in DBT, advanced SQL, Python libraries, and production experience with Kafka, Airflow, and GCP are mandatory.
Experience Required
Minimum 5 year(s)
Data Engineer at Takeaway
Calgary, Ontario, Canada - Full Time
Skills Needed
Sql, Dbt, Python, Gcp, Data Engineering, Data Analytics, Data Management, Infrastructure Initiatives, Cross Functional Collaboration, Stakeholder Management, Logistics Systems Analysis, Communication Skills
Specialization
Candidates must possess prior experience in a Data Engineering position, demonstrating advanced SQL skills and familiarity with relational databases, preferably including data transformation tools like dbt. Proficiency in Python or similar programming languages and experience with cloud platforms, especially GCP, are also required.
Experience Required
Minimum 2 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Pipelines, Data Transformation, Schema Validation
Specialization
Candidates must possess 5+ years of experience building and maintaining large-scale ETL/ELT pipelines in a cloud environment, with strong proficiency in Azure Data Factory, Databricks, SQL, and Python. Experience with enterprise platform APIs and using LLMs to streamline workflows is also required.
Experience Required
Minimum 5 year(s)
Data Architect at CONA Services
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Architecture, Data Modelling, Data Engineering, Etl, Elt, Data Integration, Cloud Data Platforms, Data Governance, Metadata Management, Data Quality, Ai, Machine Learning, Collaboration, Communication, Microsoft Power Platform, Low Code Integration
Specialization
Candidates should have a bachelor's degree in a related field and at least 8 years of experience in data architecture and engineering. Expertise in data modelling, cloud data platforms, and data governance is essential.
Experience Required
Minimum 10 year(s)
Data Architect at CONA Services
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Architecture, Data Modelling, Data Engineering, Etl Design, Data Integration, Cloud Data Platforms, Data Governance, Metadata Management, Data Quality, Analytics, Automation, Machine Learning, Collaboration, Communication, Microsoft Power Platform, Low Code Integration
Specialization
Candidates should have a bachelor's degree in a relevant field and at least 8 years of experience in data architecture and engineering. Expertise in data modelling, cloud data platforms, and strong communication skills are essential.
Experience Required
Minimum 10 year(s)
Data Architect at Konrad
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Science, Machine Learning, Python, Statistics, Cloud Based Data Platforms, Data Warehouses, Model Deployment, Containerization, Apis, Collaboration, Problem Solving, Communication, Agile, Consulting, Cross Functional
Specialization
Candidates should have a minimum of 5 years of experience in data science, machine learning, or solution architect roles, with strong proficiency in Python and a solid foundation in statistics and machine learning techniques. Experience with cloud-based data platforms and collaboration with data engineering teams is also required.
Experience Required
Minimum 5 year(s)
Senior Data Scientist, Clinical Research at Function Health
Canada, Kansas, United States - Full Time
Skills Needed
Data Science, Clinical Research, Machine Learning, Epidemiology, Outcomes Research, Statistical Modeling, Causal Inference, Longitudinal Analysis, Survival Analysis, Python, R, Scientific Writing, Risk Stratification, Biomarker Clustering, Physiology, Pathology
Specialization
Candidates must possess a PhD in a natural science or an MD with strong quantitative research experience, coupled with 5+ years in data science or clinical research, including demonstrated experience publishing scientific papers. Strong statistical foundations and proficiency in Python or R are essential for this senior, research-focused position.
Experience Required
Minimum 5 year(s)
Data Modeler at FULFILLMENT IQ INC
Toronto, Ontario, Canada -
Full Time

Start Date

Immediate

Expiry Date

05 Jun, 26

Salary

115.0

Posted On

07 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Modeling, Dimensional Modeling, Snowflake, Supply Chain, Logistics, Warehousing, SQL, Kimball Methodology, Data Lake House, GCP, CDC, Data Governance, MDM Modeling, JSON Modeling, Kafka, Feature Store Design

Industry

IT Services and IT Consulting

Description
General Information: Job Title: Data Modeler Location: Toronto (Remote/ Hybrid) Job Type: Contract for 12+ months Reporting Line: SVP, Architecture Salary Range: $95–$115 CAD per hour (negotiable) About Fulfillment IQ (FIQ): Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations. We work at the intersection of strategy, operations, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution. Our teams combine deep domain expertise with strong technical capability, delivering outcomes through consulting, systems implementation, and proprietary platforms that accelerate time-to-value and reduce delivery risk. If you enjoy working in complex environments, partnering closely with clients, and seeing your work make a tangible impact on how global commerce moves, this is the place where your skills and judgment truly come to life. Role Overview: We are seeking an experienced Data Modeler to design and implement the data models powering a multi- site warehouse intelligence platform on Google Cloud Platform (GCP). The ideal candidate will have a strong background in data modeling, dimensional modeling, and a deep understanding of the supply chain and logistics domains. The role requires a hands-on approach, with a focus on designing data models that bridge multiple warehouse management systems, data lake house architectures, and real- time operational data stores. Must Have: 6+ years of experience in data modeling roles, including logical, physical, dimensional, and domain modeling 3+ years of experience with Snowflake, including data engineering, data modeling, and data warehousing Supply chain/logistics/warehousing domain knowledge, including warehouse data: inventory lifecycle, order management, WMS transactions, shipping/receiving, labor tracking SQL expertise, including advanced query design, performance tuning, and complex joins across large datasets Dimensional modeling (Kimball methodology) for analytics/reporting warehouses Experience with modern data lake house architecture Cloud data platforms: GCP (BigQuery, Cloud Storage, Cloud Spanner) or equivalent AWS/Azure experience with willingness to work in GCP CDC/event-driven data modeling expertise, including designing schemas for change data capture pipelines and streaming data Strong understanding of data governance, data quality, and data lineage Preferred Qualifications: Experience with Blue Yonder (JDA/RedPrairie) WMS data structures and Oracle transactional schemas Hands-on experience with Apache Iceberg table design (partitioning, sort orders, schema evolution, Polaris catalog) MDM (Master Data Management) modeling experience, including hierarchical entity governance (org/site/system/region) Experience designing JSON/semi-structured data models and configurable transformation schemas Prior work in multi-tenant or multi-site data architectures (normalizing data across large-scale operational deployments with different configurations) Familiarity with ML feature engineering and feature store design patterns Knowledge of data catalog and metadata management tools Nice-to-Have Qualifications: Experience with Google Cloud Spanner data modeling (wide-column/relational hybrid) Understanding of GenAI/RAG data requirements (how LLMs consume structured operational data) Exposure to Oracle GoldenGate or FiveTran CDC source schemas Experience with Erwin, dbt, or similar data modeling/transformation tools Key Responsibilities: Design the canonical data model that normalizes data from multiple WMS systems (i.e., Blue Yonder, Manhattan) into a unified domain layer Model core warehouse entities, including inventory transactions, orders, shipments, ASNs, locations, SKUs, wave management, dock operations, labor events, and returns/RMA Define Master Data Management (MDM) data models, including client, site, system, division, region hierarchies with governance rules Design table schemas, including partitioning strategies, sort orders, schema evolution plans, and compaction policies Create the bronze/silver/gold data layer architecture, including raw CDC events from WMS, cleansed and deduplicated domain tables, and aggregated business-ready datasets for reporting and ML Models Optimize table designs for analytics queries (BigQuery) and streaming updates Build dimensional models (star/snowflake schemas) for embedded analytics and reporting, including warehouse operations, client-facing dashboards, and financial reporting Design reporting models to replace a legacy Oracle-based analytics platform across a large multi-site deployment Work with the BI team on Polaris catalog metadata standards and data dictionary Design data schemas for the near real-time operational data layer, including inventory position, scan and validate events, exception/error state tracking, and wave progress and dock utilization Model the data structures that feed GenAI operational assistants Design event schemas for Kafka topics (CDC events, operational events, alert events) Design the data models that feed Warehouse AI modules, including forecasting models, slotting/replenishment models, and pick optimization models Define the feature store schema for ML model training and inference pipelines Ensure ML data models align with the 5-minute Iceberg refresh cadence and real-time streaming layer What Success Looks Like in the First 90 Days: 30 Days · Understand existing WMS data sources, GCP/Snowflake architecture, and current data flows. · Align with architecture and engineering teams; document core warehouse domains. · Identify data quality gaps and normalization challenges. 60 Days · Deliver first draft of the canonical data model and bronze/silver schemas. · Begin implementing models in Snowflake/BigQuery/Iceberg. · Define initial MDM structures and dimensional models for key analytics use cases. · Draft Kafka event schemas and establish metadata documentation. 90 Days · Deliver production-ready canonical model for at least one WMS and site. · Finalize end‑to‑end bronze → silver → gold architecture with optimized performance. · Publish full data dictionary and lineage. · Deploy dimensional models for reporting and ML/AI data structures. · Improve data quality and consistency across multi‑site ingestion. Key Performance Indicators (KPIs): · Canonical Model Completion & Adoption across sites/WMS sources. · Data Quality Improvements (dedupe, consistency, completeness). · Dimensional Model Delivery for analytics and reporting. · Pipeline Readiness across bronze/silver/gold layers. · MDM Model Implementation across clients/sites. · Documentation & Metadata Accuracy (data dictionary, lineage). · Query Performance Optimization in Snowflake/BigQuery. · Enablement of ML/AI & Feature Store Pipelines. Why You’ll Love Working Here: At Fulfillment IQ, we don’t just build supply chain solutions; we build long-term careers. We believe in giving our people real ownership, real influence, and meaningful responsibility. Whether you’re leading a client relationship, shaping a solution, or building internal capability, your decisions have visible impact. We operate with a high-trust, high-standards culture that values clear thinking, collaboration, and accountability without unnecessary hierarchy or bureaucracy. Here’s what makes Fulfillment IQ a rewarding place to work: Work That Matters You’ll help solve real operational challenges that directly impact global commerce, customer experience, and supply chain performance. Career Growth That Matters We invest in mentorship, leadership development, and continuous learning — supporting both vertical growth and long-term career progression. Flexibility to Thrive We support remote and hybrid work models, flexible schedules, and trust our teams to manage their time responsibly. We Celebrate Impact From project wins to personal milestones, we recognize contribution, celebrate progress, and value consistency over heroics. A Collaborative Culture You’ll work alongside experienced consultants, engineers, product leaders, and commercial professionals who value ownership, transparency, and high standards. Perks you’ll appreciate: Health & Wellness · Comprehensive health and dental coverage for you and your family (region-specific plans) · Employee wellness programs, where applicable Time Off · Competitive paid time off (PTO), sick leave, and public holidays · Flexible leave policies that respect local labor standards Retirement & Financial Security · Retirement savings programs and employer contributions · Region-specific plans (401(k) in the U.S., CPP and supplementary plans in Canada) Professional Growth · Dedicated learning and development budget · Support for skills development, leadership growth, and career progression Flexible Work · Remote and hybrid work options · Flexible working hours aligned to role and client needs Additional Perks · Equipment and workstation allowances · Internet and business travel reimbursements · Employee stock options (ESOP), where applicable · Team events, meetups, and company offsites Life at Fulfillment IQ: Fulfillment IQ is a people-first company built in trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace. Learn More About Us: Website: fulfillmentiq.com LinkedIn: Fulfillment IQ Spotify: eCom Logistics Podcast Spotify YouTube: eCom Logistics Podcast YouTube
Responsibilities
The Data Modeler will be responsible for designing and implementing data models for a multi-site warehouse intelligence platform on GCP, focusing on normalizing data from multiple Warehouse Management Systems (WMS) into unified domain and dimensional layers. Key tasks include defining Master Data Management (MDM) models, designing schemas for real-time operational data, and creating data structures to support ML/AI modules.
Data Modeler at FULFILLMENT IQ INC
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Modeling, Dimensional Modeling, Snowflake, Supply Chain, Logistics, Warehousing, Sql, Kimball Methodology, Data Lake House, Gcp, Cdc, Data Governance, Mdm Modeling, Json Modeling, Kafka, Feature Store Design
Specialization
Candidates must possess a minimum of 6 years in data modeling roles, including logical, physical, and dimensional modeling, coupled with over 3 years of experience using Snowflake for data engineering and warehousing. Essential domain knowledge includes supply chain, logistics, and warehousing data, alongside strong expertise in SQL and dimensional modeling (Kimball methodology).
Experience Required
Minimum 5 year(s)
Data Analyst at Agri Foods
Burnaby, British Columbia, Canada - Full Time
Skills Needed
Data Validation, Data Migration, Reporting, Testing, Governance Support, Training, Continuous Improvement, Analytical Skills, Negotiation, Project Management, Attention To Detail, Troubleshooting, Communication, Presentation Skills, Power Bi Reporting, Api Connections
Specialization
Candidates need a Bachelor's degree or College Diploma in a relevant field and at least three years of experience working with business systems, including one year in supply chain or a similar area. Essential skills include strong analytical and troubleshooting abilities, excellent communication, and proficiency with technologies like NetSuite, SQL, and Power BI.
Experience Required
Minimum 2 year(s)
Data Analyst at HelloFresh
Toronto, Ontario, Canada - Full Time
Skills Needed
Sql, Bi Tools, Self Service Analytics, Marketing Analytics, Data Storytelling, Forecasting, Analytical Modeling, Data Warehousing, Python
Specialization
Candidates should have advanced SQL skills and experience with BI tools, along with a good understanding of marketing analytics concepts. Familiarity with forecasting and analytical modeling is also desired, along with the ability to present insights to non-technical stakeholders.
Experience Required
Minimum 2 year(s)
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Data Analysis, Sql, Python, Power Bi, Machine Learning, Data Governance, Analytics, Azure Databricks, Data Modeling, Agile Methodology, Communication, Mentoring, Business Intelligence, Technical Requirements, Data Transformation, Stakeholder Management
Specialization
Candidates must have a Master's or Bachelor's degree in a relevant field along with significant experience in data analysis and reporting. Proficiency in Power BI and SQL, as well as experience with Azure data stack, is also required.
Experience Required
Minimum 5 year(s)
Data Analyst at Bayshore Healthcare Ltd.
Markham, Ontario, Canada - Full Time
Skills Needed
Data Compilation, Data Processing, Reporting, Data Mapping, Report Design, Process Improvement, Data Inquiries, Data Integrity, Policy Development, Data Analysis, Trend Identification, Critical Thinking, Problem Solving, Excel, Power Bi, Microsoft Office
Specialization
Candidates need a Diploma or Degree in Statistics, Data Analytics, or Clinical/Health Informatics, coupled with 12 to 23 years of experience in data management, with clinical/healthcare experience being preferred. Essential abilities include deriving insights from data, fostering collaboration, exceptional analytical skills, and proficiency with data visualization tools like Excel and Power BI.
Experience Required
Minimum 10 year(s)
Data Analyst at NFI Parts
Winnipeg, Manitoba, Canada - Full Time
Skills Needed
Data Cleansing, Data Auditing, Data Transformation, Data Classification, Data Management, Data Validation, Cross Referencing, Erp Systems, Product Data Management, Data Governance, Process Improvement, Sql, Python, Analytical Mindset, Communication, Documentation
Specialization
Successful candidates must have education in Data Science, Statistics, or Business Analytics, along with an understanding of aftermarket parts structure, catalog data, and cross-referencing. Required experience includes data cleansing, auditing, transformation, classification, and proficiency with ERP systems and data management tools like SQL or Python.
Experience Required
Minimum 2 year(s)
Data Analyst at Tangam Systems
Waterloo, Ontario, Canada - Full Time
Skills Needed
Data Analytics, Data Visualization, Sql, Excel, Business Intelligence Tools, Communication, Statistical Concepts, Tableau, Data Modeling
Specialization
Candidates need 1-4 years of data analysis experience, proficiency in Excel, experience with business intelligence tools like Tableau, and knowledge of relational databases with the ability to write SQL. A Bachelor's degree in a quantitative field like Applied Mathematics, Statistics, Business, Economics, or Computer Science/Engineering is required, along with the ability to travel quarterly.
Data Analyst at Microsoft
Vancouver, British Columbia, Canada - Full Time
Skills Needed
Sql, Python, Azure Databricks, Synapse, Power Bi, Fabric, Machine Learning, Data Modeling, Agile Methodology, Data Governance, Data Platforms, Data Flows, Dax, Ctes, Pyspark, Data Factory
Specialization
Candidates require a Master's degree with 2+ years of experience or a Bachelor's degree with 4+ years of experience in data analysis, business intelligence, or a related field, including experience with Power BI modeling and DAX. Preferred qualifications include knowledge of SQL (window functions, CTEs), Python/PySpark, and experience with the Azure data stack like Fabric, Synapse, and Databricks.
Experience Required
Minimum 5 year(s)
Data Engineer - Databricks at The Citco Group Limited
Toronto, Ontario, Canada - Full Time
Skills Needed
N/A
Specialization
The job posting does not specify detailed requirements or qualifications. However, it implies a need for relevant experience in data engineering.
Experience Required
Minimum 2 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt Pipelines, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Ingestion, Data Transformation, Schema Validation
Specialization
Candidates must possess over 5 years of experience in Data Engineering, focusing on large-scale ETL/ELT pipelines within a cloud environment, demonstrating proficiency in Azure Data Factory, Databricks, SQL, and Python. Required qualifications also include experience with enterprise platform APIs and using LLMs to streamline workflows.
Experience Required
Minimum 5 year(s)
Data Engineer at NTT DATA
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Python, Sql, Data Pipelines, Data Warehousing, Cloud Technologies, Performance Tuning, Data Validation, Agile Practices, Data Solutions, Data Integration, Analytical Skills, Problem Solving, Communication Skills, E R Data Models, Ci/Cd Tooling
Specialization
Candidates should have over 4 years of experience in data engineering or analytics, with strong skills in SQL and Python. Experience in hybrid data environments and performance tuning is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Odaia Intelligence Inc.
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Engineering, Aws, Snowflake, Python, Etl Processes, Sql, Data Integration, Data Management, Automation Tools, Data Pipelines, Apis, Data Models, Collaboration, Healthcare Data, Veeva, Salesforce
Specialization
Candidates should have over 3 years of experience in data engineering and strong proficiency in AWS and Python. Familiarity with data orchestration tools and experience with healthcare-related datasets are also important.
Experience Required
Minimum 2 year(s)
Data Engineer at Xideral
Montreal, Quebec, Canada - Full Time
Skills Needed
Data Engineering, Etl, Elt, Data Pipeline, Sql, Python, Data Modeling, Architecture, Business Intelligence, Cloud Bi, Rest Api, Agile, Data Profiling, Gdpr, Sox, Ci/Cd
Specialization
Candidates must have a Master’s degree in Business Intelligence or equivalent and strong hands-on experience with technologies such as Snowflake, DBT, and Microsoft SQL Server. Proficiency in SQL and Python, along with experience in data modeling and architecture, is also required.
Experience Required
Minimum 5 year(s)
Data Engineer at Charger Logistics Inc
Brampton, Ontario, Canada - Full Time
Skills Needed
Sql, Python, Risingwave, Dbt, Postgresql, Bigquery, Snowflake, Mongodb, Kafka, Airflow, Gcp, Alloydb, Cdc, Pandas, Sqlalchemy, Git
Specialization
Candidates must possess a Bachelor's degree in a related field and have 5+ years of data engineering experience, specifically requiring expertise in SQL, Python, RisingWave, AlloyDB, and CDC. Expert skills in DBT, advanced SQL, Python libraries, and production experience with Kafka, Airflow, and GCP are mandatory.
Experience Required
Minimum 5 year(s)
Data Engineer at Takeaway
Calgary, Ontario, Canada - Full Time
Skills Needed
Sql, Dbt, Python, Gcp, Data Engineering, Data Analytics, Data Management, Infrastructure Initiatives, Cross Functional Collaboration, Stakeholder Management, Logistics Systems Analysis, Communication Skills
Specialization
Candidates must possess prior experience in a Data Engineering position, demonstrating advanced SQL skills and familiarity with relational databases, preferably including data transformation tools like dbt. Proficiency in Python or similar programming languages and experience with cloud platforms, especially GCP, are also required.
Experience Required
Minimum 2 year(s)
Data Engineer at Intrado Life & Safety, Inc.
, , Canada - Full Time
Skills Needed
Data Engineering, Azure Data Factory, Databricks, Python, Sql, Etl/Elt, Data Quality Assurance, Api, Microsoft Dynamics 365 F&O, Salesforce, Servicenow, Llm Application, Data Pipelines, Data Transformation, Schema Validation
Specialization
Candidates must possess 5+ years of experience building and maintaining large-scale ETL/ELT pipelines in a cloud environment, with strong proficiency in Azure Data Factory, Databricks, SQL, and Python. Experience with enterprise platform APIs and using LLMs to streamline workflows is also required.
Experience Required
Minimum 5 year(s)
Data Architect at CONA Services
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Architecture, Data Modelling, Data Engineering, Etl, Elt, Data Integration, Cloud Data Platforms, Data Governance, Metadata Management, Data Quality, Ai, Machine Learning, Collaboration, Communication, Microsoft Power Platform, Low Code Integration
Specialization
Candidates should have a bachelor's degree in a related field and at least 8 years of experience in data architecture and engineering. Expertise in data modelling, cloud data platforms, and data governance is essential.
Experience Required
Minimum 10 year(s)
Data Architect at CONA Services
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Architecture, Data Modelling, Data Engineering, Etl Design, Data Integration, Cloud Data Platforms, Data Governance, Metadata Management, Data Quality, Analytics, Automation, Machine Learning, Collaboration, Communication, Microsoft Power Platform, Low Code Integration
Specialization
Candidates should have a bachelor's degree in a relevant field and at least 8 years of experience in data architecture and engineering. Expertise in data modelling, cloud data platforms, and strong communication skills are essential.
Experience Required
Minimum 10 year(s)
Data Architect at Konrad
Toronto, Ontario, Canada - Full Time
Skills Needed
Data Science, Machine Learning, Python, Statistics, Cloud Based Data Platforms, Data Warehouses, Model Deployment, Containerization, Apis, Collaboration, Problem Solving, Communication, Agile, Consulting, Cross Functional
Specialization
Candidates should have a minimum of 5 years of experience in data science, machine learning, or solution architect roles, with strong proficiency in Python and a solid foundation in statistics and machine learning techniques. Experience with cloud-based data platforms and collaboration with data engineering teams is also required.
Experience Required
Minimum 5 year(s)
Senior Data Scientist, Clinical Research at Function Health
Canada, Kansas, United States - Full Time
Skills Needed
Data Science, Clinical Research, Machine Learning, Epidemiology, Outcomes Research, Statistical Modeling, Causal Inference, Longitudinal Analysis, Survival Analysis, Python, R, Scientific Writing, Risk Stratification, Biomarker Clustering, Physiology, Pathology
Specialization
Candidates must possess a PhD in a natural science or an MD with strong quantitative research experience, coupled with 5+ years in data science or clinical research, including demonstrated experience publishing scientific papers. Strong statistical foundations and proficiency in Python or R are essential for this senior, research-focused position.
Experience Required
Minimum 5 year(s)