439 Analytics jobs in Canada

Job Description

Who We Are:

Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision.

Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts.

Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet . We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.

Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator.

Our Team Members:

We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!

We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.

Your Role:

We are seeking an Analytics Engineer to own and execute the vision for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide array of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms.

You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, open-source data infrastructure to build robust, scalable data models. These models are critical for stakeholders across the company—from finance and operations to the executive team—and are delivered via BI tools, reports, and reverse ETL systems.

Our team is 100% distributed and remote.

Responsibilities:

• Own the Transformation Layer: Design, build, and maintain scalable data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-real-time operational metrics.
• Set Technical Standards: Establish and enforce best practices for data modelling, development, testing, and monitoring to ensure data quality, integrity (up to cent-level precision), and discoverability.
• Enable Stakeholders: Collaborate directly with finance, operations, customer success, and marketing teams to understand their requirements and deliver reliable data products.
• Integrate and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business.
• Ensure Quality: Champion high standards for development, including robust change management, source control, code reviews, and data monitoring as our products and data evolve.

Must-Haves:

• Core Experience: 3+ years of experience in data analytics or data engineering with a strong focus on the "T" (transformation) in ELT.
• Expert SQL Skills: High fluency in SQL for complex queries and data manipulation on large datasets.
• Analytics Engineering Fundamentals: Deep understanding of data modeling, transformation principles, and data engineering best practices (e.g., source control, code reviews, testing).
• dbt Experience: Proven experience building scalable transformation layers using formalized SQL modeling tools, preferably dbt.
• Technical Versatility:
• Work Ethic: Comfortable with ambiguity, able to take ownership with minimal oversight, and adaptable in a fast-paced environment.

Nice to Haves:

• Experience with data ingestion tools (e.g., Airbyte) and orchestration tools (e.g., Airflow).
• Experiences with Semantic Layer modelling (e.g. Cube, dbt Semantic Layer).

How We Take Care of You:

• Competitive Salary & Stock Options
• Health Benefits
• New Hire Home-Office Setup: One-time USD $00
• Monthly Stipend: USD 150 per month via a Brex Card

Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.

Recruitment Privacy Policy

Expert.e SIRH & Analytique de données – un rôle clé au cœur de l’innovation RH

La technologie transforme la façon dont nous vivons la route… mais aussi la façon dont nous vivons le travail. Chez Belron Canada – la maison mère de Speedy Glass, Lebeau vitres d’auto, Apple Auto Glass, Vanfax et plus encore – nous investissons sans relâche pour que nos employé.e.s puissent réaliser leur plein potentiel.

Parce que pour nous, l’innovation passe autant par nos produits que par nos équipes.

Et si c’était toi, notre prochain.e Expert.e SIRH & Analytique de données ?

Ton impact chez Belron

Ton rôle, ce n’est pas juste de gérer un système RH. C’est de transformer notre façon de gérer les talents grâce à la donnée, à la technologie et à l’innovation.

Tu seras la personne de référence pour :

• Déployer, optimiser et gérer notre système Workday.
• Développer et améliorer nos processus RH (temps, absences, paie, finance, IT, etc.).
• Collecter, analyser et interpréter les données RH pour guider des décisions stratégiques.
• Déployer de nouvelles fonctionnalités (dont l’IA !) pour rendre nos RH plus intelligentes et efficaces.
• Créer des tableaux de bord, des rapports et des indicateurs qui font parler les chiffres.
• Former et accompagner les équipes pour maximiser l’impact des outils SIRH.
• Garantir la qualité, la cohérence et la conformité des données.

Bref : tu seras au carrefour de la technologie, de la donnée et de l’humain .

Ton profil

• 10-15 ans d’expérience en gestion de SIRH (si tu connais Workday, c’est un gros plus ).
• À l’aise en gestion de projet, intégration et amélioration continue.
• Solides compétences en analyse, communication et résolution de problèmes.
• Curieux.se, rigoureux.se et orienté.e client.
• Collaboratif.ve, structuré.e et passionné.e par l’innovation RH.

Ce que tu trouveras chez Belron

• Un environnement où diversité, équité et inclusion ne sont pas que des mots, mais des valeurs vécues au quotidien.
• Une équipe internationale d’expert.e.s SIRH avec qui partager et apprendre.
• Un rôle national avec un réel impact stratégique.
• La possibilité d’explorer, tester et déployer des solutions innovantes (oui, même avec l’IA !).
• Une entreprise solide et reconnue, présente dans 29 pays sur 6 continents.

Pourquoi nous ?

Parce qu’ici, nous croyons qu’une attention sincère peut transformer une expérience – que ce soit pour nos clients ou pour nos employé.e.s.

Et parce qu’il n’y a pas de meilleur moment pour rejoindre Belron Canada, contribuer à l’excellence et bâtir avec nous l’avenir des RH.

Prêt.e à transformer la donnée en impact ? Envoie-nous ton CV et viens vivre l’expérience Belron Canada.

Expert.e SIRH & Analytique de données – un rôle clé au cœur de l’innovation RH

La technologie transforme la façon dont nous vivons la route… mais aussi la façon dont nous vivons le travail. Chez Belron Canada – la maison mère de Speedy Glass, Lebeau vitres d’auto, Apple Auto Glass, Vanfax et plus encore – nous investissons sans relâche pour que nos employé.e.s puissent réaliser leur plein potentiel.

Parce que pour nous, l’innovation passe autant par nos produits que par nos équipes.

Et si c’était toi, notre prochain.e Expert.e SIRH & Analytique de données ?

Ton impact chez Belron

Ton rôle, ce n’est pas juste de gérer un système RH. C’est de transformer notre façon de gérer les talents grâce à la donnée, à la technologie et à l’innovation.

Tu seras la personne de référence pour :

• Déployer, optimiser et gérer notre système Workday.
• Développer et améliorer nos processus RH (temps, absences, paie, finance, IT, etc.).
• Collecter, analyser et interpréter les données RH pour guider des décisions stratégiques.
• Déployer de nouvelles fonctionnalités (dont l’IA !) pour rendre nos RH plus intelligentes et efficaces.
• Créer des tableaux de bord, des rapports et des indicateurs qui font parler les chiffres.
• Former et accompagner les équipes pour maximiser l’impact des outils SIRH.
• Garantir la qualité, la cohérence et la conformité des données.

Bref : tu seras au carrefour de la technologie, de la donnée et de l’humain .

Ton profil

• 10-15 ans d’expérience en gestion de SIRH (si tu connais Workday, c’est un gros plus ).
• À l’aise en gestion de projet, intégration et amélioration continue.
• Solides compétences en analyse, communication et résolution de problèmes.
• Curieux.se, rigoureux.se et orienté.e client.
• Collaboratif.ve, structuré.e et passionné.e par l’innovation RH.

Ce que tu trouveras chez Belron

• Un environnement où diversité, équité et inclusion ne sont pas que des mots, mais des valeurs vécues au quotidien.
• Une équipe internationale d’expert.e.s SIRH avec qui partager et apprendre.
• Un rôle national avec un réel impact stratégique.
• La possibilité d’explorer, tester et déployer des solutions innovantes (oui, même avec l’IA !).
• Une entreprise solide et reconnue, présente dans 29 pays sur 6 continents.

Pourquoi nous ?

Parce qu’ici, nous croyons qu’une attention sincère peut transformer une expérience – que ce soit pour nos clients ou pour nos employé.e.s.

Et parce qu’il n’y a pas de meilleur moment pour rejoindre Belron Canada, contribuer à l’excellence et bâtir avec nous l’avenir des RH.

Prêt.e à transformer la donnée en impact ? Envoie-nous ton CV et viens vivre l’expérience Belron Canada.

Expert.e SIRH & Analytique de données – un rôle clé au cœur de l’innovation RH

La technologie transforme la façon dont nous vivons la route… mais aussi la façon dont nous vivons le travail. Chez Belron Canada – la maison mère de Speedy Glass, Lebeau vitres d’auto, Apple Auto Glass, Vanfax et plus encore – nous investissons sans relâche pour que nos employé.e.s puissent réaliser leur plein potentiel.

Parce que pour nous, l’innovation passe autant par nos produits que par nos équipes.

Et si c’était toi, notre prochain.e Expert.e SIRH & Analytique de données ?

Ton impact chez Belron

Ton rôle, ce n’est pas juste de gérer un système RH. C’est de transformer notre façon de gérer les talents grâce à la donnée, à la technologie et à l’innovation.

Tu seras la personne de référence pour :

• Déployer, optimiser et gérer notre système Workday.
• Développer et améliorer nos processus RH (temps, absences, paie, finance, IT, etc.).
• Collecter, analyser et interpréter les données RH pour guider des décisions stratégiques.
• Déployer de nouvelles fonctionnalités (dont l’IA !) pour rendre nos RH plus intelligentes et efficaces.
• Créer des tableaux de bord, des rapports et des indicateurs qui font parler les chiffres.
• Former et accompagner les équipes pour maximiser l’impact des outils SIRH.
• Garantir la qualité, la cohérence et la conformité des données.

Bref : tu seras au carrefour de la technologie, de la donnée et de l’humain .

Ton profil

• 10-15 ans d’expérience en gestion de SIRH (si tu connais Workday, c’est un gros plus ).
• À l’aise en gestion de projet, intégration et amélioration continue.
• Solides compétences en analyse, communication et résolution de problèmes.
• Curieux.se, rigoureux.se et orienté.e client.
• Collaboratif.ve, structuré.e et passionné.e par l’innovation RH.

Ce que tu trouveras chez Belron

• Un environnement où diversité, équité et inclusion ne sont pas que des mots, mais des valeurs vécues au quotidien.
• Une équipe internationale d’expert.e.s SIRH avec qui partager et apprendre.
• Un rôle national avec un réel impact stratégique.
• La possibilité d’explorer, tester et déployer des solutions innovantes (oui, même avec l’IA !).
• Une entreprise solide et reconnue, présente dans 29 pays sur 6 continents.

Pourquoi nous ?

Parce qu’ici, nous croyons qu’une attention sincère peut transformer une expérience – que ce soit pour nos clients ou pour nos employé.e.s.

Et parce qu’il n’y a pas de meilleur moment pour rejoindre Belron Canada, contribuer à l’excellence et bâtir avec nous l’avenir des RH.

Prêt.e à transformer la donnée en impact ? Envoie-nous ton CV et viens vivre l’expérience Belron Canada.

Technical Responsibilities

Oversee the collection, storage, and analysis of data, ensuring data integrity and accuracy.

Develop and maintain data models, databases, and data pipelines to support business needs.

Implement data warehousing solutions and integrate various data sources.

Perform complex data analysis and provide actionable insights to stakeholders.

Utilize statistical and machine learning models to predict trends and inform decision-making.

Managerial Responsibilities

Lead and manage a team of data analysts, data engineers, and data scientists.

Coordinate with cross-functional teams to ensure data-driven project alignment.

Set clear team goals and provide regular performance feedback.

Foster a collaborative and inclusive team environment.

Identify and address skill gaps through training and development.

Leadership Responsibilities

Drive a data-centric culture within the organization.

Champion the importance of data quality and governance.

Communicate data strategies and outcomes to senior leadership and stakeholders.

Stay abreast of industry trends and advancements in data analytics and reporting.

Mentor junior team members and promote professional growth.

Tools and Systems

Proficiency in data visualization tools such as Tableau, Power BI, or Looker.

Experience with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, etc.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Knowledge of ETL tools like Talend, Informatica, or Apache Nifi.

Hands-on experience with programming languages such as Python, R, or Scala.

Project Management Responsibilities

Develop and manage project plans, timelines, and budgets.

Ensure project deliverables meet quality standards and business requirements.

Communicate project status, risks, and issues to stakeholders.

Facilitate project meetings, workshops, and presentations.

Utilize project management tools like JIRA, Asana, or Trello.

Administrative Function Accountabilities

Maintain documentation of data processes, standards, and best practices.

Manage data access and security protocols.

Ensure compliance with relevant data protection regulations.

Coordinate with IT teams to support data infrastructure needs.

Track and report on key performance indicators (KPIs) for data projects.

Technical Responsibilities

Oversee the collection, storage, and analysis of data, ensuring data integrity and accuracy.

Develop and maintain data models, databases, and data pipelines to support business needs.

Implement data warehousing solutions and integrate various data sources.

Perform complex data analysis and provide actionable insights to stakeholders.

Utilize statistical and machine learning models to predict trends and inform decision-making.

Managerial Responsibilities

Lead and manage a team of data analysts, data engineers, and data scientists.

Coordinate with cross-functional teams to ensure data-driven project alignment.

Set clear team goals and provide regular performance feedback.

Foster a collaborative and inclusive team environment.

Identify and address skill gaps through training and development.

Leadership Responsibilities

Drive a data-centric culture within the organization.

Champion the importance of data quality and governance.

Communicate data strategies and outcomes to senior leadership and stakeholders.

Stay abreast of industry trends and advancements in data analytics and reporting.

Mentor junior team members and promote professional growth.

Tools and Systems

Proficiency in data visualization tools such as Tableau, Power BI, or Looker.

Experience with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, etc.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Knowledge of ETL tools like Talend, Informatica, or Apache Nifi.

Hands-on experience with programming languages such as Python, R, or Scala.

Project Management Responsibilities

Develop and manage project plans, timelines, and budgets.

Ensure project deliverables meet quality standards and business requirements.

Communicate project status, risks, and issues to stakeholders.

Facilitate project meetings, workshops, and presentations.

Utilize project management tools like JIRA, Asana, or Trello.

Administrative Function Accountabilities

Maintain documentation of data processes, standards, and best practices.

Manage data access and security protocols.

Ensure compliance with relevant data protection regulations.

Coordinate with IT teams to support data infrastructure needs.

Track and report on key performance indicators (KPIs) for data projects.

Job Description

Salary:

Who We Are

Trusscoreis a material science company for sustainable building materials. We are revolutionizing the way people build, with the ultimate vision of creating a market leading, sustainable, branded, true painted-drywall-alternative. Trusscore invests heavily in R&D to discover breakthroughs in materials and manufacturing processes, advancing the state-of-the-art in science and technology along the way.

Become part of a passionate, innovative team focused on reshaping the future of building materials. We offer a dynamic, flexible work environment, opportunities for personal and professional growth, and the chance to make a tangible impact in an established, fast-growing company with a focus on sustainability and innovation.

Your Mission

Trusscore is redefining building-product manufacturing through digitization, advanced automation, and AI-enhanced process control and detection. Your mission as a data analytics leader is to convert data from ERP, proprietary applications, SCADA feeds, and real-time ML models into decisive insights that drive a business impact.

Youll inject the analytical firepower to an experienced team of industrial engineers, mechatronics, and controls engineers to develop and deploy powerful analytics tools to pinpoint and unlock value creation and value capture opportunities that efficiently scale Trusscores manufacturing and operations.

As a data technology leader, you will apply your expertise in data engineering, analytics, and visualization. You will maintain and build upon our custom data collection platform, build models and automated dashboards in cloud-based business intelligence tools, and analyze manufacturing data to identify and drive efficiency improvements.

You will closely collaborate cross-functionally with Manufacturing, Quality, Marketing and IT, and external parties
to enhance our data infrastructure. Your work will be critical to creating the digital backbone enabling Trusscores manufacturing innovations.

This role demands both strategic thinking and hands-on execution. Youll leverage your knowledge in data modeling, systems integration, and process analytics while continuing to grow your skills in cloud architecture, automation, and operational intelligence. Your success will be measured by timely delivery of data tools that are accurate, accessible, and impactful for decision-making across the business.

Join us and help shape the future of building materials - through data.

Responsibilities

• Lead the development of Trusscores data infrastructure to support real-time manufacturing insights and data-driven decision-making.

• Design and maintain scalable data pipelines and integrations between MS SQL Server, Power Apps, ERP systems (e.g., NetSuite), SCADA platforms (e.g., Ignition), and manufacturing equipment.

• Build interactive dashboards and automated reports using Power BI, Oracle Analytics, and NetSuite Analytics Warehouse to enable performance monitoring and process optimization.

• Develop and maintain SQL and Python-based data transformation workflows to standardize, clean, and model raw data for downstream analysis.

• Automate repetitive data tasks and manual processes using tools such as Power Automate, Celigo, or custom scripts in Python or JavaScript.

• Identify opportunities to improve production efficiency, quality, and throughput by analyzing large, complex data sets from various manufacturing systems.

• Work with peers to define the governance of data architectures for consistency and reliability; accelerate growth by co-creating a playbook to standardize the design, approval, and deployment of analytics tools and practices.

• Apply basic machine learning frameworks (e.g., TensorFlow, Scikit-learn) for predictive modeling and advanced analytics use cases, where applicable.

• Lead continuous improvement projects that evolve our data platform capabilities, support digital transformation, and unlock new levels of operational intelligence.

Qualifications & Skills

• Bachelors or Masters degree in Mechatronics, Systems Design, Software, Computer, Management engineering disciplines or Mathematics (or equivalent experience)

• Minimum 3 years of experience as a Data Analyst, Data Scientist, or Industrial Engineering

• Familiarity working in an Industrial or Manufacturing environment

• Self-starting, team player, organized and detail oriented

• Data Management & Programming: Required: Database infrastructure/hosting architecture,SQL, Python; Desired: Java, C++, React, Node.js, Celigo, JSON, REST API

• Microsoft 365 Apps: Required: Teams, Excel; Desired: Power Apps, Power Automate

• Business Intelligence: (Power BI, Oracle Analytics, NetSuite Analytics Warehouse (NSAW))

• Knowledge of Machine Learning Frameworks (TensorFlow, PyTorch, Apache Spark,Scikit-learn, etc.)

• Familiarity with ERP systems (NetSuite)

Other preferred qualifications:

• Understanding of basic networking protocols and network infrastructure technologies (IP, LAN, Routing, VPN, DNS, etc.)

• Understanding of SCADA system (Ignition)

• Machine Data Integration & Manufacturing Execution System

• Web App Developer (Frontend & Backend)

Location; Travel

• Hybrid working from the office in Kitchener, ON (The Tannery Building) and from home

• Occasional travel may be required to support offsite activities with third party vendors, contractors, other Trusscore facilities, or for other business reasons
  

Internal Trusscore Employee Applicants: please email your manager and if you're interested in applying to this position.

Job Description

Company Description

MEDFAR Clinical Solutions was founded in 2010 by two aeronautical engineers who realized that the healthcare system was not exploiting the full potential of technology. Supported by a large community of medical experts and focused on clinical success and patient safety, MEDFAR was the first company to certify a cloud-based Electronic Medical Record in Canada: MYLE (Make Your Life Easy).

Committed to promoting excellence and effectiveness in healthcare worldwide, MEDFAR differentiates itself by offering a unique healthcare management solution for clinics, which replaces inefficient processes with a faster and safer technological alternative.

As a Data Developer, Analytics, you will design, build, and maintain reliable data pipelines and analytics warehouse workflows that ensure accurate, timely, and accessible data across MEDFAR. You will automate processes, ensure data quality, and collaborate with teams across the organization to meet business and operational needs. You will also contribute to architecture decisions, data modelling, and the adoption of best practices in the analytics stack, helping MEDFAR scale its analytics capabilities.

Key Responsibilities

• Architect, develop, and maintain analytics data warehouse structures and ETL/ELT pipelines, ensuring scalability, maintainability, and efficiency.
• Automate data ingestion, schema updates, and integration of new data sources to support evolving business requirements.
• Deploy and optimize data workflows in cloud environments (preferably Azure).
• Monitor and troubleshoot pipelines, addressing failures, anomalies, and performance issues with root cause analysis and corrective actions.
• Ensure data quality and observability, implementing validation, monitoring, and lineage frameworks.
• Enforce best practices in metadata management, versioning, and documentation to guarantee data integrity and reliability.
• Collaborate with analytics, BI, and infrastructure teams to deliver new reporting capabilities and expand existing ones.
• Stay informed of new tools and frameworks, continuously improving scalability, cost efficiency, and maintainability of the analytics stack.

• 5–7+ years of hands-on experience in data engineering/data pipelines/analytics workflows.
• Proficiency in C# / .NET and strong SQL skills.
• Experience with scripting languages (Python, PowerShell, or similar) and process automation.
• Experience in cloud environments, preferably Azure.
• Familiarity with modern data engineering & orchestration tools (Azure Data Factory, Databricks Jobs, Airflow, etc.).
• Strong experience in pipeline monitoring and troubleshooting.
• Excellent problem-solving skills and ability to work independently.
• Fluency in French and English.

Nice-to-have

• Experience with large-scale SQL Server or other RDBMS environments.
• Familiarity with BI tools, analytics platforms, or reporting frameworks.
• Understanding of data governance, compliance, or metadata management, particularly in healthcare.
• Knowledge of cloud data platforms (Snowflake, Redshift, Synapse, etc.).

• Permanent, full-time role (40 h/week).
• Hybrid or remote work model (with occasional in-office presence).
• Must be based in Québec.

Why join MEDFAR?

• Remote work and flexibility  (supporting work-life balance)

• RRSP  contribution

• Healthcare insurance  from day one

• Paid time off : 3 weeks + 1 additional week between Christmas and New Year

• Annual training allowance  ($1,500) to support your professional development

• An onboarding progra m to help you get familiar with our environment and the digital healthcare field

• All IT equipment  is provided, with additional gear if needed

• Internal growth opportunities  (promotions, internal mobility)

• Support from a wellness and social committee , with initiatives to foster team cohesion, mental health, and employee well-being

• A company culture  focused on transparency, collaboration, and innovation

• Join a dynamic and innovative environment where your work has a real and wide-reaching impact, helping to modernize healthcare in Canada and internationally

With offices around the world, fluency in both French and English is a must at MEDFAR. Because of the need to communicate with colleagues and/or customers in other provinces or countries, bilingualism enables us to communicate in both languages while promoting the use of French. 

At MEDFAR, we value diversity, equity and inclusion within our team. We are committed to providing a work environment where every individual feels respected and supported, regardless of their background, identity or abilities.As part of our commitment to a fair and inclusive recruitment process, we offer accommodation to candidates who request it. If you need accommodation during your interview, please let us know so that we can provide you with an adapted experience.

MEDFAR has voluntarily subscribed to an Equal Employment Opportunity Program (EEOP). We encourage applications from women, visible minorities, ethnic minorities, aboriginal peoples and people with disabilities. When applying, we invite you to complete this section, which enables us to implement our Equal Employment Opportunity Program (EEOP). Self-identification is not compulsory, but may enable you to benefit from hiring or promotion measures if you have the skills required for the job.

To better understand the self-identification process, please consult this guide.