202 Analytics 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 .

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Job Title

Director, Business Intelligence & Analytics

Job Type

Full-time

Location

The Royal Conservatory - Toronto, ON M5S 1W2 CA (Primary)

Job Description

The Royal Conservatory (RCM) is one of the largest and most respected music education institutions in the world, providing the definitive standard of excellence in curriculum design, assessment, performance training, and teacher certification. Graduates from its two performance training programs, The Glenn Gould School and The Phil & Eli Taylor Performance Academy for Young Artists, regularly perform on major international stages. The RCM is also a leader in the development of early childhood education programs and arts-based social programs, and presents a diverse range of concerts featuring the finest Canadian and international artists in its magnificent performance space, Koerner Hall. Please visit for more information.

Reporting to the Senior Vice President of Learning Systems, the Director, Business Intelligence & Analytics is the "go-to expert" for efforts that will inform and lead data-driven metrics, analysis, visualizations, and storytelling. As a partner to business development operations and marketing teams, this role is responsible for aligning and transforming data into clear actionable visual insights to support business decisions necessary to lead short- and long-term objectives, strategies, tactics, and business outcomes.

Champion Data-Driven Decision-Making

• Promote the strategic use of data as a key business enabler, identifying and unlocking opportunities to optimize revenue growth, market entry, pricing, and profitability across the organization.

Inform Organizational and Divisional Strategic Direction with Data Insights

• Deliver digestible, high-impact insights to C-level executives and senior leaders across Business Development, Marketing, Academic Office and Operations.
• Provide analytics that support evaluation of new and existing products, revenue initiatives, customer segments and acquisition opportunities.
• Build and maintain pricing elasticity models and price optimization algorithms using advanced statistical techniques.
• Design promotion optimization models (e.g., uplift/response) to enhance targeted marketing and segment offers.
• Lead experimentation strategies (A/B testing, geo lift studies) to measure the causal impact of pricing and promotional initiatives.
• Lead the development and implementation of KPIs, dashboards, and reporting tools that provide actionable insights and performance visibility to drive sales growth, strategic and tactical decisions.
• Build self-service analytics capabilities for internal stakeholders to monitor performance and identify areas for growth to ensure analytics projects meet business needs

Advance Customer and Loyalty Insights

• Design, deliver, and analyze dashboards and surveys for internal business partners to assess health and impact of business, marketing and promotion efforts.
• Provide analytics to support the effectiveness and evolution of revenue and customer acquisition and recognition initiatives.
• Creating dashboards and reports for various stakeholders.
• Conducting in-depth analyses of sales data to identify opportunities for growth.
• Providing actionable recommendations based on data insights.

Collaborate Cross-Functionally

• Work with business development, marketing, product, and data engineering teams to integrate analytical models into business workflows and decision systems.
• Partner with business operations and marketing teams to improve data collection, analysis frameworks, and traffic generation strategies aligned with revenue growth.

Enable Scalable Data Solutions

• Build robust, scalable data solutions that improve access to analytics and support growth-focused decision-making.
• Improve existing processes and implement new systems to ensure the accuracy and integrity of data analysis.
• In collaboration with leadership, assess growth opportunities and provide data-driven recommendations to position the organization for sustainable success.
• Identify and mitigate risks through quantitative analysis and forecasting.

Act as Analytics SME

• Advise internal teams on optimal methodologies, tools, and analytical approaches to address key business questions.
• Stay current with industry trends and innovations to ensure best practices are applied.

Perform Other Duties as Required

• Participate in management meetings and contribute strategic insights as needed.

• 6 - 8 years of progressive experience with business intelligence, data warehouse technical architectures, data modeling and reporting/analytic tools and forecasting.
• Post-secondary degree in a related field such as Business Administration, Economics or Statistics, Information Systems, Mathematics, or Computer Science,
• Demonstrated experience with qualitative data science/business intelligence with significant business impact.
• Experience with BI reporting tools and forecasting.
• Knowledge of reporting tools/dashboards (Tableau, Power BI, Google Analytics, Google Tag manager, Tibco, etc.).
• Advanced knowledge in with database and queries (i.e.: SQL, Python, R, etc.).
• Strong technical background in analytics, applied data science, and reporting across areas such as marketing attribution, experimentation, optimization techniques, data engineering & architecture, statistics, financial modeling and behavioral analytics.
• Extensive experience in measuring online and offline marketing and sales strategies using various methodologies such as incrementality, attribution and cross-channel interaction.
• Strong understanding on how the data should be captured, stored and structured in a data warehousing environment.
• Ability to collaborate, communicate and influence across various internal stakeholders.
• Detail oriented and takes ownership of work, with the ability to lead and manage tight project deadlines.
• A self-starter with a curious and learning mindset.
  

• $120,000 - $140,000 per annum.
  

• This role has two (2) direct reports: Data Engineer and Data Analyst.
• Hybrid work arrangement, working on-site at least 3 days a week, inclusive of all staff Community Days.
• Office environment with the occasional requirement to work outside of regular business hours.
• Works with confidential data.
• Extended periods of sitting and PC use.
  

Interested candidates are asked to submit a cover letter and current résumé online (please upload a single file combining both documents) at . Applications will be accepted until a suitable candidate has been identified.

The RCM thanks all applicants for their interest in this position; however, only those selected for an interview will be contacted.

The RCM is committed to fostering an inclusive, equitable and accessible workplace. In accordance with the Ontario Human Rights Code, the Accessibility for Ontarians with Disabilities Act, 2005, and the RCM's Anti-Racism, Access and Equity Policy, accommodation will be provided at any stage of in the recruitment and selection process. Applicants are asked to make their accommodation needs known when they have been contacted for an interview.

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

Job Description

Salary: $28-$35 CAD per hour

About the Course:
This fourweek, hybrid (online + inperson) certificate program guides professionals through BI foundations, data analytics, visualization, and AIpowered deliverables. Participants get handson experience designing BI architectures, cleaning data with tools like GPT, running SQL queries, building dashboards, and generating AIdriven insights across five immersive modules. We are looking for someone who can teach the course and co-develop the course content in collaboration with the Director of AI.

Who Should Teach This Course:

• You connect with midcareer professionals, small business owners, and newcomers who want handson data and AI skills.
• You know how to transform raw data into meaningful business insightsusing SQL, visualization tools, and emerging AI workflows.
• You can make complex subjects approachable and applicable, whether students are just starting or already tech-savvy.
• You bring real-world BI and analytics experiencebonus points for AIenhanced data cleaning and dashboarding.
• Were looking for someone with real-world experience in the field, ideally currently working in the industry, who is actively using AI tools or has proven experience applying them in their work.
• At least 2 years of experience in the related field.
• Experience in teaching will be a plus

Ideal Candidate:

• Familiar with SQL, data visualization (e.g., Power BI, Tableau, Looker), BI architecture, and AI-enhanced workflows (like using GPT for data prep).
• Skilled at creating engaging, project-based learning that builds confidence and clear outcomes.
• Equipped to support career switchers or professionals building Canadian experience with portfolio-ready projects.

Course Highlights:

• Duration: 4 weeks
• Format: hybrid format (Online and in-person option)
• Location: Vancouver campus or online

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 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

Department: Marketing

Reports to: Senior e-Commerce Manager

Location: Lower Mainland/Fraser Valley

Hours of Work: Full-time; Permanent

Workplace Category: Mobile

Your Role at Petcurean:

The Marketing Analytics Lead is responsible for driving insight-led performance across Petcurean's digital marketing and marketplace eCommerce business (Amazon, Chewy) in the United States and Canada. This role serves as a strategic partner to both the eCommerce and Digital Marketing teams, ensuring our marketing investments are measurable, optimized, and aligned with business goals.

Acting as a cross-functional connector between Digital Marketing, eCommerce, Corporate Analytics, and external partners, the Marketing Analytics Lead brings strong analytical rigor, curiosity, and a solutions-oriented mindset to every challenge. This individual thrives in a fast-paced environment, is confident navigating large and incomplete datasets, and is energized by transforming complex information into actionable insights that drive business growth.

If you were the Marketing Analytics Lead now, here are some of the core activities you would be doing:

Marketplace eCommerce Insights & Analytics Leadership (Amazon.com & Chewy.com):

• Support the eCommerce Senior Manager by leveraging numerous data sources to analyze sales, traffic, conversion, and share trends across Amazon and Chewy
• Track and assess performance across multiple dimensions of the marketplace eCommerce business, including SKU-level performance, ad campaigns, keyword trends, promotions, and content optimizations, to build insights and make data-driven recommendations
• Develop and run A/B tests, conduct pre/post analysis, measure ROI, and build business cases to support conversion optimization, ads performance, and investment decisions
• Maintain monthly performance dashboards to monitor trends and provide leadership with clear, timely updates. Continuously optimize dashboarding by incorporating new metrics, ways of measuring and consolidating data, and benchmarking/target -setting
• Collaborate with Digital Marketing to build a new full-funnel dashboard, integrating disparate data sources to improve visibility into traffic drivers and conversion behavior on Amazon and Chewy
• Partner with external agencies to optimize reporting, ensure consistent measurement, and optimize campaign execution
• In partnership with the Digital Marketing team and our platform and agency partners, improve attribution approaches by improving use of tools and methodologies like Amazon Attribution, Amazon Marketing Cloud, DSP measurement, and pixel tracking

Digital & Performance Marketing Support:

• Collaborate with the Digital and Performance Marketing teams to assess multi-channel campaign effectiveness across paid media, search, website, social media, influencers and other channels
• Maintain KPI dashboards to track full-funnel performance from awareness to conversion and loyalty
• Analyze user journeys, traffic sources, channel/tactic engagement, and campaign performance reporting to inform optimization opportunities
• Support ad hoc analysis requests to answer key business questions

Corporate Analytics Partnership:

• Partner closely with the Corporate Planning & Analytics team to represent eCommerce & Digital Marketing for all corporate analytics and reporting needs
• Work with Corporate Planning & Analytics and IT to evaluate, select and implement new best-in-class tools to improve automation of data integration and dashboarding

Here are some of the skills we are looking for you to bring to the team:

• Analytical Acumen : Deep expertise in digital, eCommerce, and marketing analytics; able to analyze complex datasets and translate them into actionable insights.
• Full-Funnel Fluency: Strong understanding of performance metrics across the entire marketing funnel, from awareness to loyalty.
• Marketplace Expertise : Solid experience with Amazon and Chewy platforms, including performance tracking, advertising metrics, and content testing.
• Cross-Functional Communication : Adept at collaborating across departments and agencies, translating analytics into strategies that align with marketing, sales, and business goals.
• Technical Proficiency: Strong command of tools like Power BI, Excel, and marketplace analytics platforms (e.g., Stackline, Helium10, SEMrush).
• Strategic Thinking: Balances short-term optimizations with long-term planning; identifies trends and builds data-driven strategies.
• Process Improvement: Seeks out opportunities to simplify, automate, and enhance reporting systems and data workflows.
• Storytelling & Influence: Communicates complex information clearly and persuasively to both technical and non-technical audiences.

Are you our next Marketing Analytics Lead? Here are some of our must-haves:

• Bachelor's degree in Business, Marketing, Analytics, or a related field (or equivalent combination of education and experience).
• 5+ years of experience in marketing analytics, eCommerce, or digital performance measurement, ideally in CPG, pet food, or a digital-first brand.
• Demonstrated success in translating digital and marketplace data into business results.

What's in it for you?

• Flexible hybrid work environment.
• Take advantage of the financial resources strategically allocated to empower your career progression through personalized Professional Development avenues.
• Staff Feeds program! Each month, Petcurean employees are eligible to submit an order for Petcurean products to feed the furry friends in your life.
• Annual volunteer hours so you can give back to the causes that mean the most to you.
• Comprehensive Benefits package.
• Employee Assistance Program.
• Modern open concept office located in the beautiful Fraser Valley
• Stocked coffee, tea and treats at our office!

About Us

We are in the business of putting pet's first, through formulating superior-quality and nutritionally balanced recipes that give dogs and cats happier, healthier, and longer lives. Founded in 1999, as a local BC company, Petcurean has evolved to become a globally trusted brand of premium quality pet foods. Our recipes are sold in pet specialty stores across North America, and in over 30 countries around the world. Behind our success are our people that never waver from our brand's ultimate mission of putting pets first. Our People make us who we are and represent the true heart and soul of Petcurean.

Equal Opportunity Statement

Petcurean is an equal-opportunity employer. We are committed to providing an inclusive and welcoming environment for all employees, candidates, and clients. We do not discriminate on the basis of race, color, religion, national origin, gender, sexual orientation, age, marital status, or disability status. Diversity and inclusion are core values at Petcurean, and we actively encourage candidates from all backgrounds to apply for this position. We would like to thank all applicants for their interest; however only those candidates selected for an interview will be contacted.

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?