196 Analytics Intern jobs in Canada

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 .

Job Title: GTM/GA4 Specialist

Health industry experience required

We are seeking a GTM/GA4 Specialist to own our website and app tracking framework. You will be responsible for setting up, maintaining, and optimizing event tracking through Google Tag Manager and Google Analytics 4, ensuring that our marketing, product, and leadership teams have accurate and actionable data for decision-making.

Key Requirements:

Implement and maintain tags across GA4, Floodlights, Meta Pixel, LinkedIn Insight Tag, Microsoft Ads, Google Ads, and other third-party platforms

Ensure cross-platform alignment of events, triggers, parameters and exceptions managed through GTM

Key Responsibilities:

Implement and manage tracking tags in Google Tag Manager.

Configure GA4 properties, events, and conversions based on business goals.

Create custom triggers, variables, and data layers.

Integrate GTM with marketing platforms (Google Ads, Meta Pixel, LinkedIn Insight Tag, etc.).

Troubleshoot and ensure data accuracy.

Create GA4 reports, dashboards, and funnels for stakeholders.

Maintain documentation for all tracking setups.

Stay updated on Google Analytics, GTM, and privacy compliance changes.

Qualifications:

Strong experience with GTM and GA4.

Understanding of event-based tracking and data layer implementation.

Basic knowledge of HTML, CSS, and JavaScript.

Analytical mindset with ability to provide actionable insight

Job Description

1-800-GOT-JUNK? is looking for a Digital Analytics Manager to lead our analytics team and shape the future of our data-driven decision-making. As a pivotal leader within the Residential Web & Ecommerce department, you will be responsible for driving the strategy, execution, and communication of all web and digital media analytics. We are seeking a strategic, influential leader who can build and mentor a high-performing team, translate complex data into strategic imperatives, and partner with leadership to fuel our rapid online growth. Your expertise will be instrumental in optimizing our online customer experience and proving the value of our digital investments

? HYBRID WORK ENVIRONMENT Vancouver-based and Toronto-based team members work in-office every other week (Tues–Thurs). Core attendance is required from 9 AM – 3 PM on these days to support business priorities.

? What You'll Do:

• Analytics Strategy & Roadmap: Develop and own the comprehensive digital analytics strategy and roadmap. Is a thought-leadership partner to identify key business questions and opportunities, and align the team's focus to deliver high-impact insights that drive business outcomes.
• Data Governance & Infrastructure: Oversee the governance, implementation, and evolution of our web analytics stack. Champion the strategic use of GA4 and establish best practices for Google Tag Manager (GTM) architecture, server-side tagging, and data quality assurance across all digital assets.
• Cross-Functional Partnership: Partner with leadership across Marketing, Product, and Technology to define Key Performance Indicators (KPIs) and deliver insights that shape business strategy. Serve as the primary analytics contact for senior stakeholders.
• Strategic Insights & Storytelling: Cultivate a culture of data-driven decision-making by empowering stakeholders with actionable insights. Lead the team in delivering advanced analysis, executive-level dashboards, and compelling presentations on user behavior, campaign performance, and conversion optimization.
• Optimization & Experimentation: Drive the strategy for conversion rate optimization (CRO). Lead the analytical framework for experimentation (A/B testing, causal impact analysis) to guide continuous improvement of the customer journey and website performance.
• Advanced Analytics & Attribution: Guide the development of sophisticated analytics models, including media mix modeling and multi-touch attribution, to provide a holistic understanding of the customer journey and optimize marketing channel investments.

? What You'll Bring:

• 5-7+ years of experience in digital analytics or digital marketing analytics, with a proven track record of delivering business impact.
• Bachelor's Degree or College Diploma in Business, Marketing, Math, Computer Science, or a similar quantitative field.
• Demonstrated experience in developing and executing a strategic analytics roadmap.
• Expert-level knowledge of Google Analytics (GA4) and Google Tag Manager (GTM), including implementation, governance, and server-side tagging.
• Strong proficiency in SQL and experience with large datasets in environments like BigQuery.
• Proven expertise in creating insightful and automated dashboards for executive audiences using tools like Looker Studio or Tableau.
• Exceptional communication and presentation skills, with the ability to translate complex data into a compelling narrative for senior leadership.
• Deep, practical understanding of the broader digital marketing ecosystem (SEO, PPC, Programmatic, etc.) and how to measure success within it.
• Experience with advanced analytical techniques such as A/B testing analysis, user journey analysis, and attribution modelling.
• Experience with Salesforce Marketing Cloud is a very strong asset.
• GA4, GTM or Tableau certification is a strong asset.

• Salary $108,000 - $128,000 per annum (Actual salary offered will be commensurate with education, experience and internal parity).
• The Total Compensation Package includes Extended Health, Dental. Focus on your development through our professional development programs. Enjoy a variety of health and wellness initiatives, including access to gym facilities at our corporate head office. Speak to us to learn more about what we offer.

• Pre-Screen – Let’s talk about your experience, goals & excitement for this role!
• Interviews – Two or more interviews with different team members, including structured competency & scenario-based questions
• Presentation/Assessment
• References & Background Check
• We use audio recording transcription for our interview practices ?

Did you know O2E Brands has been voted one of the Best Workplaces in Canada 15 times? Take a sneak peek into why that is, here: (YouTube) Check us out on social! At O2E Brands, we know that great talent comes in many forms, and we want to meet you at your best. We will provide reasonable accommodations to applicants with disabilities at any time throughout the recruitment and selection process. Please contact our Talent Acquisition Team at or notify the Talent Acquisition team member you are working with if unique arrangements will enable your equal participation.

#1-800-GOT-JUNK?

Job Description

Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management.

Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities.

We are seeking an experienced Senior Analytics Engineer to join our growing Data team. You will play a pivotal role in architecting, building, and optimizing the data foundations that power analytics and data-driven decision-making across LotLinx. Reporting to the Director of Data Analytics, you will collaborate closely with Data Analysts, Data Engineers, and Product Managers to translate business needs into robust, scalable, and reliable data models and pipelines that are incorporated into our product portfolio. This is a key position where you'll have significant ownership and impact on our data infrastructure and strategy.

This is a hybrid role and requires 3-4 days a week in either our Winnipeg, Hamilton, or Vancouver office locations.

• Architect & Build Data Models: Design, develop, and maintain scalable and performant data models in our data warehouse (Google BigQuery, Apache Pinot) to serve as the single source of truth for analytics.
• Data Analysis: Conduct data validation and exploratory analysis across massive datasets (billions of rows, terabytes) to ensure the integrity of data pipelines and the accuracy of downstream reporting.
• Develop Large Data Pipelines: Develop, monitor, and troubleshoot ELT/ETL pipelines processing high-volume data streams, ensuring reliability and performance at the terabyte scale.
• Optimize Pipeline Performance: Optimize complex SQL queries and data transformation logic for maximum performance and cost-efficiency using multi-terabyte datasets within Google BigQuery.
• Enhance OLAP performance: Analyze Apache Pinot query performance logs and usage patterns across terabyte-scale datasets to identify optimization opportunities and troubleshoot complex data access issues.
• Enable Data Consumers: Partner with data analysts, data scientists, and business stakeholders to understand their data requirements, providing clean, well-documented, and easy-to-use datasets.
• Champion Data Quality & Governance: Implement data quality checks, testing frameworks, and documentation standards to ensure the trustworthiness and usability of our data assets.
• Collaborate & Mentor: Work effectively within a collaborative team environment. Potentially mentor junior team members and share best practices in analytics engineering.
• Stay Current: Keep abreast of new technologies, tools, and best practices in the analytics engineering space and advocate for their adoption where relevant.

Experience: 4+ years of relevant professional experience in Analytics Engineering, Data Engineering, or a highly related role, with a proven track record of building and managing complex data systems.

• Expert SQL: Deep expertise in writing complex, highly performant SQL for data transformation, aggregation, and analysis, particularly within a cloud data warehouse environment like BigQuery.
• Performance Optimization: Demonstrated experience writing, tuning, and debugging complex SQL queries specifically for large-scale data warehouses (multi-terabyte environments), preferably BigQuery or Apache Pinot.
• Data Modeling Mastery: Strong understanding of data modeling concepts (e.g., Kimball, Inmon, Data Vault) and practical experience designing and implementing warehouse schemas.
• ETL/ELT & Orchestration: Proven experience building and maintaining data pipelines using relevant tools and frameworks. Python proficiency for scripting and data manipulation is essential.
• Cloud Data Warehousing: Significant experience working with cloud data warehouses, specifically Google BigQuery. Understanding of underlying architecture and optimization techniques.
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues independently.
• Communication & Collaboration: Strong communication skills, capable of explaining complex technical concepts to both technical and non-technical audiences. Proven ability to collaborate effectively across teams.

• Previous experience in the Automotive or AdTech industry.
• Familiarity with workflow orchestration tools like Apache Airflow.
• Experience with Apache Pinot.
• Experience with data quality and testing frameworks.
• Familiarity with Google Cloud Platform (GCP) services beyond BigQuery.

• Cloud/Warehouse: Google Cloud Platform (GCP), AWS, Google BigQuery, Apache Pinot
• Transformation: SQL, Python
• Orchestration: Airflow, Cloud Composer
• Ingestion: Custom Scripts, Pub/Sub, Lambda

Other: GitLab, Kubernetes, Apache Pinot, OpenSearch

The salary range for this position is $103,000 - $157,000, with an annual target bonus.

Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Lotlinx is not currently able to offer sponsorship for employment visa status.

Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada.

Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.

Job Description

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you've never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

What's next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization.

• Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
  
  
• Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
  
  
• Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
  
  
• Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker's conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
  
  
• Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
  
  
• Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
  
  
• Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
  
  
• Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake's latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.

• Education: Bachelor's degree in Computer Science, Statistics, or a related field; Master's degree preferred.
  
  
• Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
  
  
• SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
  
  
• dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
  
  
• Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
  
  
• Snowflake & AI Capabilities: Experience with Snowflake's Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
  
  
• Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker's conversational AI and data agent capabilities) or similar BI tools.
  
  
• AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
  
  
• Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
  
  
• Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
  
  
• ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
  
  
• Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
  
  
• Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
  
  
• Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
  
  
• Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
  
  
• Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.

• Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
  
  
• AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
  
  
• Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
  
  
• Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
  
  
• Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

The base salary range for this position is $73,440 to $6,400. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits.

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here. #LI-Remote #LI-NA1

Job Description

Tucows (NASDAQ:TCX, TSX:TC) is possibly the biggest Internet company you've never heard of. We started as a simple shareware site in 1993 and have since grown into a stable of businesses: Tucows Domains, Ting Internet and Wavelo.

What's next at Tucows

We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It's also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

Today, over one thousand people work in over 20 countries to help us make the Internet better. If this sounds exciting to you, join the herd!

We are seeking an experienced and versatile Analytics Engineer to join our dynamic team. In this role, you will apply your advanced analytics expertise to extract actionable insights from raw data. The ideal candidate will have a strong background in data engineering, analytics, and machine learning, with the ability to drive data-driven decision-making across the organization.

• Data Modeling & Pipelines: Design, develop, and maintain complex data models in our Snowflake data warehouse. Utilize dbt (Data Build Tool) to create efficient data pipelines and transformations for our data platform.
  
  
• Snowflake Intelligence Integration: Leverage Snowflake Intelligence features (e.g., Cortex Analyst, Cortex Agents, Cortex Search, AISQL) to implement conversational data queries and AI-driven insights directly within our data environment. Develop AI solutions that harness these capabilities to extract valuable business insights.
  
  
• Advanced SQL & Analysis: Design and build advanced SQL queries to retrieve and manipulate complex data sets. Dive deep into large datasets to uncover patterns, trends, and opportunities that inform strategic decision-making.
  
  
• Business Intelligence (BI): Develop, maintain, and optimize Looker dashboards and LookML to effectively communicate data insights. Leverage Looker's conversational analytics and data agent features to enable stakeholders to interact with data using natural language queries.
  
  
• Cross-Functional Collaboration: Communicate effectively with stakeholders to understand business requirements and deliver data-driven solutions. Identify opportunities for implementing AI/ML/NLP technologies in collaboration with product, engineering, and business teams.
  
  
• Programming & Automation: Write efficient Python code for data analysis, data processing, and automation of recurring tasks. Skilled in shell scripting and command-line tools to support data workflows and system tasks. Ensure code is well-tested and integrated into automated workflows (e.g., via Airflow job scheduling).
  
  
• Visualization & Presentation: Create compelling visualizations and presentations to deliver analytical insights and actionable recommendations to senior management and cross-functional teams. Tailor communication of complex analyses to diverse audiences.
  
  
• Innovation & Best Practices: Stay up-to-date with industry trends, emerging tools, and best practices in data engineering and analytics (with a focus on dbt features, Snowflake's latest offerings and BI innovations). Develop and implement innovative ideas to continuously improve our analytics stack and practices.
  
  

• Education: Bachelor's degree in Computer Science, Statistics, or a related field; Master's degree preferred.
  
  
• Experience: 2+ years of experience in data analytics or a related field, with significant exposure to AI and Machine Learning applications in analytics.
  
  
• SQL Expertise: Advanced SQL skills with experience in writing and optimizing complex queries on large-scale datasets.
  
  
• dbt Proficiency: Hands-on experience with dbt (Data Build Tool) and its features for building, testing, and documenting data models.
  
  
• Data Modeling: Expert-level knowledge of data modeling and data warehouse concepts (e.g., star schema, normalization, slowly changing dimensions).
  
  
• Snowflake & AI Capabilities: Experience with Snowflake's Data Cloud platform and familiarity with its advanced AI capabilities (Snowflake Intelligence – Cortex Analyst, Cortex Agents, Cortex Search, AISQL, etc.) is highly preferred.
  
  
• Business Intelligence Tools: Strong skills in Looker data visualization and LookML (including familiarity with Looker's conversational AI and data agent capabilities) or similar BI tools.
  
  
• AI Agents & Automation: Experience with AI agents or generative AI tools to optimize workflows and service delivery (such as creating chatbots or automated analytic assistants) is a plus.
  
  
• Real-Time & Streaming Data: Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis, Spark Streaming) for handling continuous data flows.
  
  
• Programming: Proficient in Python for data analysis and manipulation (pandas, NumPy, etc.), with the ability to write clean, efficient code. Experienced with shell scripting and command-line tools for automating workflows and data processing tasks.
  
  
• ETL/Orchestration: Familiarity with ETL processes and workflow orchestration tools like Apache Airflow (or similar scheduling tools) for automating data pipelines alongside Docker for local development and testing.
  
  
• Cloud Platforms: Experience with cloud platforms and services (especially AWS or GCP) for data storage, compute, and deployment.
  
  
• Version Control & CI/CD: Solid understanding of code versioning (Git) and continuous integration/continuous deployment (CI/CD) processes in a data engineering context.
  
  
• Agile Methodology: Familiarity with agile development methodologies and ability to work in a fast-paced, iterative environment.
  
  
• Soft Skills: Excellent communication and presentation skills, with critical thinking and problem-solving abilities. Proven track record of working effectively on cross-functional teams and translating business needs into technical solutions.
  
  
• Data Governance & Ethics: Experience implementing data governance best practices, ensuring data quality and consistency. Knowledge of data ethics, bias mitigation strategies, and data privacy regulations (e.g., GDPR, CCPA) with a commitment to compliance.
  
  

• Community & Open Source: Contributions to open-source projects or active participation in data community initiatives.
  
  
• AI/ML Skills: Experience with applying Artificial Intelligence/Machine Learning techniques in analytics (e.g., building predictive models for forecasting, churn prediction, fraud detection, etc.). Practical experience deploying models and using MLOps/DataOps practices for lifecycle management.
  
  
• Statistical Background: Solid foundation in statistics and probability, with ability to apply various modeling techniques and design A/B tests or experiments.
  
  
• Additional Programming: Knowledge of additional programming or query languages (e.g., R, Scala, Julia, Spark SQL) that can be applied in analytics workflows.
  
  
• Certifications: Certifications in relevant data technologies or cloud platforms (such as Snowflake, AWS, GCP, or Looker) demonstrating your expertise.

The ideal candidate will be a self-starter with a passion for data and analytics, capable of navigating complex datasets to uncover valuable insights. They should be comfortable working in a fast-paced environment, adapting to new technologies, and driving innovation in our data practices.They should be able to navigate complex data landscapes, uncover meaningful insights, and communicate these findings effectively to both technical and non-technical audiences. The ability to stay current with industry trends and continuously learn new technologies is essential in this role.

This role offers the opportunity to make a significant impact on our organization's data strategy and contribute to critical business decisions through advanced analytics. The successful candidate will play a key role in shaping our data culture and driving the adoption of cutting-edge data technologies and methodologies.

If you are a data enthusiast with a track record of delivering impactful analytics solutions and a desire to push the boundaries of what's possible with data, we want to hear from you!

The base salary range for this position is $73,440 to $6,400. Range shown in CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits.

Want to know more about what we stand for? At Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here. #LI-Remote #LI-NA1

Job Description

1-800-GOT-JUNK? is looking for a Digital Analytics Manager to lead our analytics team and shape the future of our data-driven decision-making. As a pivotal leader within the Residential Web & Ecommerce department, you will be responsible for driving the strategy, execution, and communication of all web and digital media analytics. We are seeking a strategic, influential leader who can build and mentor a high-performing team, translate complex data into strategic imperatives, and partner with leadership to fuel our rapid online growth. Your expertise will be instrumental in optimizing our online customer experience and proving the value of our digital investments

? HYBRID WORK ENVIRONMENT Vancouver-based and Toronto-based team members work in-office every other week (Tues–Thurs). Core attendance is required from 9 AM – 3 PM on these days to support business priorities.

? What You'll Do:

• Analytics Strategy & Roadmap: Develop and own the comprehensive digital analytics strategy and roadmap. Is a thought-leadership partner to identify key business questions and opportunities, and align the team's focus to deliver high-impact insights that drive business outcomes.
• Data Governance & Infrastructure: Oversee the governance, implementation, and evolution of our web analytics stack. Champion the strategic use of GA4 and establish best practices for Google Tag Manager (GTM) architecture, server-side tagging, and data quality assurance across all digital assets.
• Cross-Functional Partnership: Partner with leadership across Marketing, Product, and Technology to define Key Performance Indicators (KPIs) and deliver insights that shape business strategy. Serve as the primary analytics contact for senior stakeholders.
• Strategic Insights & Storytelling: Cultivate a culture of data-driven decision-making by empowering stakeholders with actionable insights. Lead the team in delivering advanced analysis, executive-level dashboards, and compelling presentations on user behavior, campaign performance, and conversion optimization.
• Optimization & Experimentation: Drive the strategy for conversion rate optimization (CRO). Lead the analytical framework for experimentation (A/B testing, causal impact analysis) to guide continuous improvement of the customer journey and website performance.
• Advanced Analytics & Attribution: Guide the development of sophisticated analytics models, including media mix modeling and multi-touch attribution, to provide a holistic understanding of the customer journey and optimize marketing channel investments.

? What You'll Bring:

• 5-7+ years of experience in digital analytics or digital marketing analytics, with a proven track record of delivering business impact.
• Bachelor's Degree or College Diploma in Business, Marketing, Math, Computer Science, or a similar quantitative field.
• Demonstrated experience in developing and executing a strategic analytics roadmap.
• Expert-level knowledge of Google Analytics (GA4) and Google Tag Manager (GTM), including implementation, governance, and server-side tagging.
• Strong proficiency in SQL and experience with large datasets in environments like BigQuery.
• Proven expertise in creating insightful and automated dashboards for executive audiences using tools like Looker Studio or Tableau.
• Exceptional communication and presentation skills, with the ability to translate complex data into a compelling narrative for senior leadership.
• Deep, practical understanding of the broader digital marketing ecosystem (SEO, PPC, Programmatic, etc.) and how to measure success within it.
• Experience with advanced analytical techniques such as A/B testing analysis, user journey analysis, and attribution modelling.
• Experience with Salesforce Marketing Cloud is a very strong asset.
• GA4, GTM or Tableau certification is a strong asset.

• Salary $108,000 - $128,000 per annum (Actual salary offered will be commensurate with education, experience and internal parity).
• The Total Compensation Package includes Extended Health, Dental. Focus on your development through our professional development programs. Enjoy a variety of health and wellness initiatives, including access to gym facilities at our corporate head office. Speak to us to learn more about what we offer.

• Pre-Screen – Let’s talk about your experience, goals & excitement for this role!
• Interviews – Two or more interviews with different team members, including structured competency & scenario-based questions
• Presentation/Assessment
• References & Background Check
• We use audio recording transcription for our interview practices ?

Did you know O2E Brands has been voted one of the Best Workplaces in Canada 15 times? Take a sneak peek into why that is, here: (YouTube) Check us out on social! At O2E Brands, we know that great talent comes in many forms, and we want to meet you at your best. We will provide reasonable accommodations to applicants with disabilities at any time throughout the recruitment and selection process. Please contact our Talent Acquisition Team at or notify the Talent Acquisition team member you are working with if unique arrangements will enable your equal participation.

#1-800-GOT-JUNK?

Job Description

1-800-GOT-JUNK? is a nationally recognized brand known for its award-winning culture, entrepreneurial spirit, and commitment to excellence. With a strong foundation and ambitious growth goals, they’ve built a business that values innovation, people-first leadership, and long-term impact. Backed by a visionary CEO and a strong leadership team, the company continues to expand its presence across North America and beyond. They offer a dynamic and purpose-driven environment where employees are empowered to think big, grow personally and professionally, and make meaningful contributions every day.

• Founded in 1989, HQ in Vancouver, BC
  
• Part of the O2E Brands umbrella, founded by CEO Brian Scudamore
  
• Brian has been featured on Oprah for his leadership, Undercover Boss, Forbes, The Wall Street Journal, The
  
• Globe and Mail and most recently as a Dragon on Dragon's Den!
  
• Recognized as a “Most Admired Corporate Culture”, a “Top 50 Small & Medium Employer” and a “Most Engaged Workplace” and a workplace of choice through numerous awards, including “Best Place to Work”, “Great Workplaces in Canada” and “50 Most Engaged Workplaces”
  
• 1-800-GOT-JUNK? Is a $500M+ business, on track to be a $1B in sales company
  
• 175 locations across Canada, the United States, and Australia
  

About the Role

1-800-GOT-JUNK? is on the lookout for a Digital Analytics Manager to lead the analytics team and help shape the next phase of data-driven growth. As a key leader within the Residential Web & Ecommerce division, you’ll be responsible for developing and executing a comprehensive digital analytics strategy that guides our marketing, product, and technology teams.

This is a unique opportunity for a strategic, hands-on leader who excels at turning data into insight, building high-performing teams, and driving measurable business impact. Your work will directly enhance the online customer experience and showcase the value of digital investments.

Analytics Strategy & Leadership

• Build and execute a clear digital analytics roadmap aligned with business priorities.
  
• Identify strategic questions and high-impact opportunities to fuel data-driven decision-making.
  
• Inspire and guide a growing analytics team.
  

Data Infrastructure & Governance

• Oversee the implementation and governance of the web analytics stack.
  
• Champion best practices across GA4, Google Tag Manager (GTM), server-side tagging, and data integrity.
  

Cross-Functional Collaboration

• Act as the strategic analytics partner for Marketing, Product, and Technology leaders.
  
• Define key performance indicators (KPIs) and ensure alignment across teams.
  

Insights & Data Storytelling

• Deliver actionable insights, executive dashboards, and compelling presentations that guide decision-making.
  
• Analyze user behavior, campaign effectiveness, and digital performance to optimize the customer journey.
  

Experimentation & Optimization

• Lead the digital experimentation framework, including A/B testing and causal impact analysis.
  
• Drive strategies that continuously improve website performance and conversion rates.
  

Advanced Analytics & Attribution

• Guide the development of advanced analytical models such as media mix modeling and multi-touch attribution.
  
• Provide holistic insight into the customer journey and optimize marketing spend.
  

• 5–7+ years in digital or marketing analytics, with a history of delivering business outcomes.
  
• 2+ years of direct team leadership or people management experience.
  
• Bachelor’s degree in Business, Marketing, Computer Science, Mathematics, or a related field.
  
• Proven experience in creating and executing analytics strategies.
  
• Advanced expertise in GA4 and GTM (including implementation, governance, and server-side tagging).
  
• Strong proficiency in SQL and large data environments like BigQuery.
  
• Skilled in building executive dashboards using tools like Looker Studio or Tableau.
  
• Excellent communication skills with the ability to simplify complex data for senior stakeholders.
  
• Deep understanding of the digital marketing ecosystem (SEO, PPC, Programmatic, etc.).
  
• Experience with A/B testing frameworks, user journey analysis, and attribution modeling.
  
• Experience with Salesforce Marketing Cloud is a strong asset.
  
• Certifications in GA4, GTM, or Tableau are a bonus.
  

• O2E Brands, parent company of 1-800-GOT-JUNK?, has been named one of Canada’s Best Workplaces 15 times —and for good reason. O2E brands is a people-first company driven by innovation, entrepreneurial spirit, and an inclusive culture.
  
• Hybrid work environment: Vancouver and Toronto team members are in-office every other week (Tues–Thurs). Core hours are 9 AM to 3 PM on those days to support collaboration and key business initiatives.
  
• Benefits: Extended Health & Dental, access to corporate gym facilities, professional development programs, and wellness initiatives
  
• The chance to work in a collaborative, innovative, and high-performing environment
  
• To be at the forefront of the fastest growing area of the business
  

Job Description

Job Description

Ubisoft IT is looking for a Game Analytics Manager to join the Canadian Analytics Team (CAT) which is part of the Ubisoft Data Office (UDO). This team’s main mission is to create the best gaming experiences by putting players' behaviors and motivations at the center of the design process. They do this by delivering in-depth player insights to guide decision-making, combining state-of-the-art qualitative and quantitative analysis through a variety of methodologies and data sources to do so.  

The game analytics manager will implement best analytical practices in the Montréal studio. The incumbent’s main objective will be to promote and develop data use in the games. With their team, the game analytics manager will support production stakeholders to translate their concerns with regards to games into actionable quantitative analyses of player’s behaviours. You will also take an investigative approach to explore and develop techniques to address new concerns and inspire innovative solutions. You'll also focus on developing the team's knowledge and skills on traversal topics and contribute to Ubisoft Analytics Community development. 

Responsibilities 

• Lead the design and evolution of relevant, actionable studio KPIs. 
• Build statistical and predictive models to enhance game performance insights. 
• Standardize and align KPI frameworks for consistent performance comparison. 
• Champion best practices in analytics through community-building and knowledge sharing. 
• Recommend improvements to tools, processes, and data workflows across the studio. 
• Assess and shape the development path for analytical talent within the organization. 
• Foster cross-functional collaboration with Publishing, Marketing, and HR analytics teams. 
• Recruit and grow a high-performing analytics team aligned with strategic goals. 
• Set objectives, mobilize the team, and supervise day-to-day operations. 
• Coach team members and monitor performance to drive continual growth. 

• Good knowledge of various statistical approaches and methods such as sampling, Machine Learning, and A/B testing; 
• Good knowledge of analysis tools such as Excel, Tableau, PowerBI, Python, SQL ; 
• Good knowledge of IT concepts such as data management and software development; 
• Ability to effectively communicate with cross-functional departments; 
• Ability to drive change management for new cross-functional projects; 
• Excellent analytical and synthesis skills. 

Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.

Skills and competencies show up in different forms and can be based on different experiences, that is why we strongly encourage you to apply even though you may not have all the requirements listed above.

At Ubisoft, we embrace diversity in all its forms. We’re committed to fostering an inclusive and respectful work environment for all. We know the importance of providing a pleasant interview experience, therefore if you need any accommodation, please let us know if there is anything we can do to facilitate the interview process.