Time since we first saw it
Day 27
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
CAN - ON - Toronto (AutoVIN, Openlane, TradeRev)
Live, first seen by us 27 days agoCompensation Range of Annual Salary: $110,000.00 - $120,000.00 CAD(Depending on experience, skill set, qualifications, and other relevant factors.)Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build scalable data models, dashboards, and reports, mainly in Domo
Manipulate large datasets with SQL and scripting to produce business insights
Design, run, and analyze A/B tests and other experiments
Continuously improve data pipelines and analytical infrastructure
Mentor colleagues to strengthen analytics skills and a data-driven culture
Develop scalable data models, dashboards, and reports using tools such as Domo
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
Continuously improve data pipelines, infrastructure, and analytical capabilities
Mentor colleagues to enhance analytics capabilities and foster a data-driven culture
From the employer’s posting.
At OPENLANE we make wholesale easy so our customers can be more successful.
In the employer’s words · Read in context
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 27
Similar jobs usually come down between day 5 and day 41.
From 10,558 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
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:
- 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
- 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
- Expertise in data visualization and dashboarding (Domo preferred) - Advanced spreadsheet skills (Excel, Google Sheets) - Self-starter with strong problem-solving and strategic thinking capabilities
Complete your application on openlane.wd115.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other BI Engineer jobs there since September 2026. 2 came down, usually after about 14 days.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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 Waybuilders. 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 with DOMO specifically
Understanding of cloud-based data architectures and security best practices
Experience creating and implementing data governance strategies
Background in data science or machine learning application
Familiarity with API integrations and automation techniques
What We Offer:
Competitive pay
Medical, dental, and vision benefits with employer HSA contributions (US) and FSA options (US)
Immediately vested 401K (US) or RRSP (Canada) with company match
Paid Vacation, Personal, and Sick Time
Paid maternity and paternity leave (US)
Employer-paid short-term disability, long-term disability, life insurance, and AD&D (US)
Robust Employee Assistance Program
Employer paid Leap into Service Day to volunteer
Tuition Reimbursement for eligible programs
Opportunities to expand your skill set and share your knowledge across a publicly traded, global organization
Company culture of internal promotions, diverse career paths, and meaningful advancement
Sound like a match? Apply Now - We can't wait to hear from you!
Compensation Range of
Annual Salary: $110,000.00 - $120,000.00 CAD(Depending on experience, skill set, qualifications, and other relevant factors.)
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Compensation Range of Annual Salary: $110,000.00 - $120,000.00 CAD(Depending on experience, skill set, qualifications, and other relevant factors.)
CAN - ON - Toronto (AutoVIN, Openlane, TradeRev)
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.