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    Digital Technology Engineer - Toronto, ON, Canada - Gorgias

    Gorgias
    Gorgias Toronto, ON, Canada

    1 week ago

    Default job background
    Description

    Meet Gorgias, the leading customer experience platform tailored for ecommerce, empowering over 14,000 brands, including Steve Madden and Glossier, to offer exceptional support across channels like email, chat, voice, and social media.

    Our one-of-a-kind product transforms how brands interact with their customers through unified customer conversations, AI automations that resolve up to 60% of support requests, and revenue-generating on-site campaigns.

    Join us in our mission to deliver effortless support at every stage of growth.
    About the Data Analytics team

    Data Analytics is a cross-functional team that works hand-in-hand with all of the other business teams (Go-to-market Marketing, Sales, Success & Support, Product) and also interacts with the dev teams.

    Our core role is to ensure that data flows accurately and efficiently across all of these teams and the tools they use to maintain and improve our data stack.

    In addition to this, we build complex data models and perform data analysis to provide insights.

    The Data Analytics team is also in charge of building data products that maximize each team's efficiency: lead qualification models, optimizing deal routing, predicting churn, automated lead enrichment, etc.

    Business Intelligence helps the rest of the company by providing insights into performance and by giving them the resources needed to achieve their goals.

    This includes things like providing or editing data marts, helping build dashboards, and more.

    Analytics Engineering is responsible for the management and maintenance of the Data Platform, including all data pipelines and assets.

    Their primary goal is to ensure that accurate and easily accessible data is provided at scale to end users.

    They also play a key role in advising and training Data Analysts on analytics best practices and maintaining up-to-date documentation and knowledge sharing.

    If you are naturally data curious, excited by high-quality data modeling, experienced in improving the availability and usability of datasets, and motivated by having an impact on the business where you work, we want to hear from you.

    We are looking for an Analytics Engineer who is passionate about applying their analytical and engineering skills to democratize data, metrics, and insights to drive decision-making and analytics across Gorgias.

    You will join our Analytics Engineering section and will be integral to building out our world-class data products and enabling all teams across the company to move faster and smarter.

    You will work on the analytics code base ensuring high data quality, availability, and performance to support Data Analysts.

    Design and implement data models that organize and structure data for analytical purposes.
    Ensure that data is clean, well-structured, and ready for visualization, exploration, and analysis.
    Implement data monitoring and alerting systems to proactively identify and address data issues.
    Create and maintain documentation that enhances understanding and utilization of data assets.
    Share knowledge with team members to promote a data-driven culture within the organization.
    3+ years of experience in data modeling and data warehouse architecture, with solid SQL experience. You care about writing good and clean SQL , with an emphasis on readability and performance.
    ~2+ years of experience with the modern data stack (ETL / Warehouse / dbt / BI/documentation), creating data products within a data warehouse environment to meet business goals.
    ~ You have a natural fit for both technical and business challenges . We are building technical solutions to solve business-oriented challenges, so strong business acumen is needed for the role.
    ~ You love working with a wide range of data sources and stakeholders from operational and product teams.
    ~ You pay attention to detail, with strong organization and prioritization skills, comfortable switching gears and moving between projects seamlessly.

    Our current data analytics stack mainly includes:


    Transformation:

    DBT

    BI tools:

    Data Activation:

    Data Monitoring:
    Datafold, Metaplane

    Project management:
    Data ingestion: Meet your manager,Elliot,

    Data Analytics Manager:
    get to know each other and set yourself up for success in this process

    Do a take-home case study where we don't ask you to solveourproblems, but we look for your creative insights.

    MeetAxelle, Head of Data Analytics at Gorgias. 6 weeks full remote/year
    ~ CAD $400/month for lunch expenses (you'll have your own Gorgias credit card)
    ~ We provide private health insuranceand retirement pension
    ~ Get up to CAD $900 to set up your workstation at home (working from home should feel breezy)
    ~ Get up to CAD $2600 of learning material and wellness support per year This includes CAD 1950 for learning material (such as books, courses, and individual coaching sessions) directly linked to your job scope, as well as a CAD 650 wellness budget. Every quarter, we organize an online company-wide summit to discuss where we're going and strengthen social bonds. We're among the fastest-growing startups in the eCommerce ecosystem
    We've built an extremely efficient go-to-market engine
    Join a company where automation and good & clean data are core beliefs shared by all
    com/helpdesk#reviews
    Learn about our Compensation Policy

    Gorgias ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.

    Gorgiasis committed to the full inclusion of all qualified individuals and will take the steps to assure that people with disabilities are provided reasonable accommodations.

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