EN | FR

425 Analytics Intern jobs in Canada

Analytics Engineer

Toronto, Ontario Clutch Technologies Inc.

Posted today

Job Viewed

Tap Again To Close

Job Description

Job Description

Job Description

About Clutch:

Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that's just the beginning.

Named one of Canada's top growing Companies two years in a row and also awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team.

Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca.

What You'll Do

  • Build, maintain, and optimize our analytics data stack, including ELT pipelines, dimensional models, and semantic layers using tools like dbt, Snowflake, and Airflow.
  • Collaborate with teams across Marketing, Product, Operations, and Finance to define key metrics, improve reporting fidelity, and unlock self-serve analytics.
  • Own and evolve core data models and pipelines that drive reporting, dashboards, and downstream analysis.
  • Apply best practices around data testing, observability, and CI/CD to ensure reliable, version-controlled, production-ready analytics code.
  • Partner with stakeholders to understand business needs and translate them into performant and trustworthy data products.
  • Contribute to and advocate for Clutch's internal data documentation and governance practices.
  • Mentor others on data modeling, tooling, and process — bringing a scalable, engineering-first mindset to analytics.

What We're Looking For

  • 4–6 years of experience in analytics engineering, data analytics, or data engineering — ideally in fast-paced or high-growth environments.
  • Strong SQL expertise and comfort working with large-scale, normalized, or dimensional datasets.
  • Hands-on experience building data models with dbt in a production environment (CI, testing, documentation).
  • Experience working with cloud data warehouses like Snowflake , BigQuery , or Redshift .
  • Experience building semantic layers and enabling self-serve BI (Looker, Sigma, Tableau).
  • A proactive communicator who can collaborate with business stakeholders and technical teams alike.
  • A strong sense of ownership and accountability for data quality, performance, and maintainability.
  • Familiarity with using Python and orchestration tools (Airflow, Prefect, Dagster) for data pipelines and transformation is a plus

Why you'll love it at Clutch:

  • Autonomy & ownership -- create your own path, and own your work
  • Competitive compensation and equity incentives!
  • Generous time off program
  • Health & dental benefits

Clutch is committed to fostering an inclusive workplace where all individuals have an opportunity to succeed. If you require accommodation at any stage of the interview process, please email .

This advertiser has chosen not to accept applicants from your region.

Analytics Engineer

Toronto, Ontario Alpaca

Posted today

Job Viewed

Tap Again To Close

Job Description

Job Description

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

This advertiser has chosen not to accept applicants from your region.

HRIS analytics

Montréal, Quebec Go RH

Posted today

Job Viewed

Tap Again To Close

Job Description

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.

This advertiser has chosen not to accept applicants from your region.

HRIS analytics

Montréal, Quebec Go RH

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

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.

This advertiser has chosen not to accept applicants from your region.

HRIS analytics

Laval, Quebec Go RH

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

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.

This advertiser has chosen not to accept applicants from your region.

HRIS analytics

Longueuil, Quebec Go RH

Posted 5 days ago

Job Viewed

Tap Again To Close

Job Description

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.

This advertiser has chosen not to accept applicants from your region.

Analytics Manager

Toronto, Ontario Hays

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

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.

This advertiser has chosen not to accept applicants from your region.
Be The First To Know

About the latest Analytics intern Jobs in Canada !

Analytics Manager

Mississauga, Ontario Hays

Posted 9 days ago

Job Viewed

Tap Again To Close

Job Description

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.

This advertiser has chosen not to accept applicants from your region.

Senior Analytics Engineer

Coinbase

Posted 6 days ago

Job Viewed

Tap Again To Close

Job Description

Ready to be pushed beyond what you think you're capable of?
At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.
To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems.
Our is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
The Analytics Engineering team bridges the gap between data engineering, data science, and business analytics by building scalable, impactful data solutions. We transform raw data into actionable insights through robust pipelines, well-designed data models, and tools that empower stakeholders across the organization to make data-driven decisions.
Our team combines technical expertise with a deep understanding of the business to unlock the full potential of our data. We prioritize data quality, reliability, and usability, ensuring stakeholders can rely on our data to drive meaningful outcomes.
*What We Do:*
* *Trusted Data Sources*: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization.
* *Actionable Insights*: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools.
* *Cross-Functional Collaboration*: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions.
* *Scalable Data Products*: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance.
* *Outcome-Focused Solutions*: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.
*What you'll be doing:*
Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights).
* *Be the expert:*Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery.
* Examples:
* Step into a new line of business and work with Engineering and Product partners to deliver first data pipelines and insights.
* Communicate with engineering teams to fix data gaps for downstream data users.
* Take initiative and accountability for fixing issues anywhere in the stack.
* *Generate business value:*Interface with stakeholders on data and product teams to deliver the most commercial value from data (directly or indirectly).
* Examples:
* Build out a new data model allowing multiple downstream DS teams to more easily unlock business value through experimentation and ad hoc analysis.
* Combine Eng details of the algo engine with stats and data expertise to come up with feasible solutions for Eng to make the algo better.
* Work with PMs to tie together new x-PG, and x-Product data into one holistic framework to optimize key financing product business metrics.
* *Focus on outcomes not tools:*Use a variety of frameworks and paradigms to identify the best-fit tools to deliver value.
* Examples:
* Develop new abstractions (e.g. UDFs, Python packages, dashboards) to support scalable data workflows/infra.
* Stand up a framework for building data apps internally, enabling other DS teams to quickly add value.U
* se established tools with mastery (e.g. Google Sheets, SQL) to quickly deliver impact when speed is top priority.
*What We Look For in You:*
In addition to out of the box thinking, attention to detail, a sense of urgency and a high degree of autonomy and accountability, we expect you to have the following skills:
* *Data Modeling Expertise*: Strong understanding of best practices for designing modular and reusable data models (e.g., star schemas, snowflake schemas).
* *Prompt Design and Engineering:*Expertise in prompt engineering and design for LLMs (e.g., GPT), including creating, refining, and optimizing prompts to improve response accuracy, relevance, and performance for internal tools and use cases.
* *Advanced SQL*: Proficiency in advanced SQL techniques for data transformation, querying, and optimization.
* *Intermediate to Advanced Python*: Expertise in scripting and automation, with experience in Object-Oriented Programming (OOP) and building scalable frameworks.
* *Collaboration and Communication*: Strong ability to translate technical concepts into business value for cross-functional stakeholders. Proven ability to manage projects and communicate effectively across teams.
* *Data Pipeline Development*: Experience building, maintaining, and optimizing ETL/ELT pipelines, using modern tools like dbt, Airflow, or similar.
* *Data Visualization*: Proficiency in building polished dashboards using tools like Looker, Tableau, Superset, or Python visualization libraries (Matplotlib, Plotly).
* *Development Tools*: Familiarity with version control (GitHub), CI/CD, and modern development workflows.
* *Data Architecture*: Knowledge of modern data lake/warehouse architectures (e.g., Snowflake, Databricks) and transformation frameworks.
* *Business Acumen*: Ability to understand and address business challenges through analytics engineering.
* *Data savvy:*Familiarity with statistics and probability.
* *Bonus Skills*:
* Experience with cloud platforms (e.g., AWS, GCP).
* Familiarity with Docker or Kubernetes.
Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.
ID: G2754
*Pay Transparency Notice: *The target annual salary for this position can range as detailed below. Full time offers from Coinbase also includebonus eligibility + equity eligibility + benefits (including medical, dental, and vision)
Pay Range:
$191,000-$191,000 CAD
Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.
Commitment to Equal Opportunity
Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations Data Privacy Notice for Job Candidates and Applicants
Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available Disclosure
For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description.
For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate.
*The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations(at)coinbase.com
This advertiser has chosen not to accept applicants from your region.

People Analytics Consultant

Vancouver, British Columbia Insight Global

Posted 13 days ago

Job Viewed

Tap Again To Close

Job Description

Job Description
Insight Global is looking for a People Analytics Consultant to join one of North America's largest athleisure wear companies. This person will be responsible for partnering with different teams to help them understand the impact of their work through metrics and story telling. They will collaborate with stakeholders and leaders to understand key business priorities and challenges to design the right actionable people metrics and insights. This person will consult on the build and delivery of analytical and BI solutions, such as scorecards and dashboards, including guides and other supportive materials. They will also present data findings and insights across all levels of leadership and stakeholders to facilitate discussion. The remainder of their role will be working with their team to move forward for standardization of guidelines, peer reviewed materials, and to speed up data governance. This person will have excellent communication and thrive in a team environment
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
3-4 years experience in data analytics and consulting
Strong experience working with and analyzing people data and HR data
In-depth understanding of data governance
Proficiency with Microsoft Suite (Excel, Power BI) and SQL (not as important), R basics
Excellent communication and working with executive level stakeholders
This advertiser has chosen not to accept applicants from your region.
 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All Analytics Intern Jobs