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BI Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Openlane
Full Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 120000 CAD Yearly CAD 110000.00 120000.00 YEAR
Job Description & How to Apply Below
## BI Engineer Apply:
Remote:
CAN - ON - Toronto (AutoVIN, OPENLANE, Trade Rev):
Full time:
Posted Today:
R-254907
*
* Who We Are:

** At OPENLANE we make wholesale easy so our customers can be more successful.
** We’re a technology company
** building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles.
** We’re a data company
** helping customers buy and sell smarter with clear, actionable insights they can understand and use.
** And we’re an innovation company
** accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit.
** Our Values:
**** Driven Way builders**. We pursue challenges that inspire us to build, create, and innovate.
** Relentless Curiosity.
** We seek to understand and improve our customers’ experience.
** Smart Risk-Taking.
** We transform risk into progress through data, experience, and intuition.
** Fearless Ownership.
** We deliver what we promise and learn along the way.
**** We’re Looking For:
**** We are seeking a Business Intelligence Engineer who is solutions-oriented, proactive, and thrives in ambiguity. This individual will not simply respond to requests but will lead initiatives, identify opportunities, and use data to unlock business growth. You will play a key role in maintaining data flow across systems, building scalable data models, and partnering across teams to inform decision-making. The ideal candidate will have 2+ years of experience in Business Intelligence and Data Warehousing, with deep expertise in SQL, data pipelines, visualization tools, and cloud-based data architecture.
**** You Are:****
* ** Proactive.
** You take full ownership of your domain and drive action independently.
* ** Insightful**. You generate meaningful, data-driven insights that fuel decision-making.
* ** Collaborative.
** You work closely with cross-functional stakeholders to solve complex problems and improve processes.
* ** Technical**. You have a strong command of data engineering, visualization, and analytical tools.
**** You Will:
***** Take ownership of the Business Intelligence domain, surfacing insights, solving problems, and driving data-driven decisions
* Partner with stakeholders in product, sales, and operations to ensure data quality, availability, and effective usage
* Manipulate and transform large datasets using SQL and scripting languages to generate impactful business insights
* Design, execute, and analyze A/B tests and other experiments to optimize strategies
* Apply data science fundamentals to build predictive models and trend analyses
* Develop scalable data models, dashboards, and reports using tools such as Domo
* Continuously improve data pipelines, infrastructure, and analytical capabilities
* Mentor colleagues to enhance analytics capabilities and foster a data-driven culture
**** Who You Will Work With:
**** This role reports into the BI Manager and collaborates cross-functionally with Product, Sales, Operations, and Data Engineering teams. You will also work closely with senior leadership to support key strategic initiatives.
**** Must Have’s:
***** 2+ years of experience in Data Warehousing and Business Intelligence
* Advanced SQL skills and experience with relational databases (e.g., Snowflake, Redshift, Oracle, SQL Server)
* Strong experience in ETL/ELT development and data pipeline management
* Proficiency in scripting languages (e.g., Python, JavaScript, Java, Scala)
* Strong foundation in data modeling, governance, and structuring datasets for long-term use
* Expertise in data visualization and dashboarding (Domo preferred)
* Advanced spreadsheet skills (Excel, Google Sheets)
* Self-starter with strong problem-solving and strategic thinking capabilities
**** Nice to Have’s:
***** Experience working…
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