Current jobs related to Senior Product Analytics Engineer - Toronto, Ontario - Faire

  • Senior Product Analytics Engineer

    2 weeks ago

    Toronto, Ontario, Canada Faire Full time

    About FaireFaire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving...

  • Senior Product Analytics Engineer

    6 days ago

    Toronto, Ontario, Canada Faire Full time

    About FaireFaire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving...

  • Principal Analytical Engineer

    6 days ago

    Toronto, Ontario, Canada ShyftLabs Full time

    About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We're growing fast and we're looking for passionate problem-solvers who are ready to turn big ideas into real outcomes. The...

  • Data Analyst, Product Analytics

    6 days ago

    Toronto, Ontario, Canada Thomson Reuters Full time

    Summary:Are you ready to own the analytics strategy for products used by millions of professionals worldwide? We're seeking a Data Analyst who will guide product teams through our AI transformation journey, delivering strategic insights and establishing the measurement frameworks that accelerate innovation and enable data-driven decision-making. Thomson...

  • Senior Product Manager

    6 days ago

    Toronto, Ontario, Canada Wave HQ Full time

    At Wave, we help small businesses to thrive so the heart of our communities beats stronger.  We work in an environment buzzing with creative energy and inspiration. No matter where you are or how you get the job done, you have what you need to be successful and connected. The mark of true success at Wave is the ability to be bold, learn quickly and share...

  • Senior Product Manager

    6 days ago

    Toronto, Ontario, Canada Okta Full time

    Get to know OktaOkta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of...

  • Senior Product Designer

    2 weeks ago

    Toronto, Ontario, Canada Bree Full time

    About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best...

  • Senior Manager, Business Analytics

    6 days ago

    Toronto, Ontario, Canada CIBC Full time

    We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and...

  • RQ00177 | Product Manager, Senior

    2 weeks ago

    Toronto, Ontario, Canada MERAK Systems Corporation Full time

    Product Manager, Senior 10+ years experienceOpportunity DetailsClient Reference RQ00177# of Openings 1Start Date February 2, 2026End Date August 10, 2026Days for Contract 136Assignment Type HybridDays in Office 3 days a weekLocation ​​​​​277 Front Street West, Toronto, ONAccount MetrolinxMust Haves​​​​​​10+years...

  • AI Processor IP Product Engineer Intern

    6 days ago

    Toronto, Ontario, Canada Tenstorrent University Jobs Full time

    Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high...

Senior Product Analytics Engineer

9 hours ago

Toronto, Ontario, Canada Faire Full time US$192,000 - US$264,000

About Faire

Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About the role

Are you passionate about using data and AI to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly.

Join us and be part of a team that values data-driven innovation and excellence.

What You Will Do

The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. 

  • Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
  • Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
  • Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
  • Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
  • Optimize processes for operational excellence in project management and system reliability.
  • Ensure security standards are met within data systems and workflows. 
  • Ensure and promote data quality standards for accurate and reliable insights.
  • Embrace emerging technologies with enthusiasm.

Minimum qualifications

  • 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
  • Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
  • Production-level development experience in Python.
  • Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
  • Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.
  • Experience with Airflow, Docker, DBT or similar analytics workflow tools.
  • BA/BS degree in Computer Science, Math, Physics, or a related technical field.

Salary Range

California: the pay range for this role is $192,000 to $264,000 per year.

Canada: the pay range for this role is $168,000 to $231,000 per year. 

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. 

Applications for this position will be accepted for a minimum of 30 days from the posting date.

Why you'll love working at Faire

  • We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
  • We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
  • We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
  • We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our Accommodation Request Form )

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice )