BI Engineer

OPENLANE

• $88K — $105K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years in Data Warehousing and Business Intelligence
  • Advanced SQL and relational databases experience (e.g., Snowflake, Redshift)
  • Strong ETL/ELT development and data pipeline management skills
  • Proficiency in scripting languages like Python and JavaScript
  • Foundation in data modeling and governance
  • Expertise in data visualization tools (Domo preferred)
  • Advanced spreadsheet skills (Excel, Google Sheets)

Responsibilities

  • Take ownership of the Business Intelligence domain and provide data-driven insights
  • Partner with cross-functional stakeholders to ensure data quality and availability
  • Manipulate large datasets with SQL and scripting for business insights
  • Design and analyze A/B tests and other experiments
  • Apply data science fundamentals to build predictive models
  • Develop scalable data models and dashboards using visualization tools
  • Continuously enhance data pipelines and infrastructure

Benefits

  • Medical, dental, and vision benefits with employer HSA contributions
  • 401K or RRSP with company match
  • Paid Vacation, Personal, and Sick Time
  • Paid maternity and paternity leave
  • Employer-paid short-term and long-term disability insurance
  • Robust Employee Assistance Program
  • Opportunities for skill expansion and knowledge sharing across the organization
  • Company culture of internal promotions and diverse career paths
Full Job Description
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 Director of Performance Optimization Analytics of the 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 Looker or 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!

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