Senior Business Intelligence Engineer - Jobber
  • Toronto, Ontario, Canada
  • via JobMesh CA
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Job Description

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want!

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50, Enterprise Fast 15, and Technology Fast 500 lists. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers.

The role:

Reporting to the Manager, Data Engineering the Senior Business Intelligence Engineer will champion the design and development of analytical data assets and interactive BI solutions – reports, dashboards, and other business decision tools - that will support strategic decisions and operational performance monitoring across all functional areas within the organization (e.g. Marketing, Sales, Customer Growth & Retention, Product etc.).

The purpose of the role is to ensure that all the information the stakeholders need to be successful in their respective roles is readily available and easy to use, thereby enabling and driving self-service analytics for business users.

As a Business Intelligence Engineer, you will

  • Design and develop scalable and efficient data models that support business requirements and enable accurate reporting and analysis.
  • Work closely with the Analytics team in implementing key business metrics in the Data Model and BI tools for tracking and reporting purposes.
  • Create and maintain high-quality reports and dashboards that provide actionable insights to business users.
  • Develop and maintain data pipelines to ensure reliable and efficient data extraction, transformation, and loading processes.
  • Manage and administer our BI platform, including user access, data governance, performance tuning, and security.

To be successful, you should have:

  • Extensive experience in the architecture and development of data modelling and semantic layers, with familiarity with medallion architecture.
  • Expert-level SQL programming skills
  • Experience in building and maintaining data pipelines using DBT
  • Advanced proficiency in designing and constructing dashboards utilizing data visualization tools like Tableau or equivalent.
  • Solid understanding of complex relational data structures
  • To be proactive and relentless. You are comfortable seeking information independently, solving conceptual problems, corralling resources and delivering results.
  • To have a strong and confident communication style. You can listen, empathize and consult with stakeholders actively, and you can take something complex and difficult and make it easy to digest.
  • To be comfortable in an ambiguous and fast-paced environment. We’re growing fast and things are changing every day - what worked yesterday might not anymore.

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