Senior BI Engineer

OPENLANE; Oregon; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental & Vision

401K with Company Match

Paid Vacation & Sick Time

Parental Leave

Disability Insurance

Employee Assistance Program

Volunteer Day

Tuition Reimbursement

Career Growth Opportunities

Job summary

OPENLANE is seeking a Senior Business Intelligence Engineer to lead data-driven initiatives, build scalable data models, and partner across teams to inform decisions. You will manage data flow across systems, create dashboards, and drive analytics that support business growth.

The role emphasizes ownership, collaboration, and proactive problem-solving in a dynamic environment. You will work with product, sales, and operations, shaping data quality and governance while leveraging SQL, scripting

Qualifications

• 3-5+ years of experience in Data Warehousing and Business Intelligence.
• Experience with Looker or DOMO for dashboards and analytics.
• Advanced SQL skills with relational databases (Snowflake, Redshift, Oracle, SQL Server).
• Strong ETL/ELT development and data pipeline management experience.
• Proficiency in scripting languages (Python, JavaScript, Java, Scala).
• Strong data modeling, governance, and dataset structuring 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.

Responsibilities

• Take ownership of the BI domain and surface insights to drive decisions.
• Partner with product, sales, and operations to ensure data quality and availability.
• Manipulate and transform large datasets using SQL and scripting languages.
• Design, run, and analyze A/B tests and experiments to optimize strategies.
• Apply data science fundamentals to build predictive models and trend analyses.
• Develop scalable data models, dashboards, and reports (e.g., using DOMO).
• Continuously improve data pipelines and analytical capabilities.
• Mentor colleagues to foster a data-driven culture.

Skills

Advanced SQL

Data Warehousing

Looker/DOMO

ETL/ELT

Data Modeling

Data Visualization

Scripting

Excel/Sheets

Problem Solving

Collaboration

Tools

DOMO

Snowflake

Redshift

Oracle

SQL Server

Job description

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 Senior 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

• 3-5+ years of experience in Data Warehousing and Business Intelligence
• Utilization of Looker or DOMO.
• 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

• Understanding of cloud-based data architectures and security best practices
• Leading or guiding small teams
• Experience creating and implementing data governance strategies
• Background in data science or machine learning applicationFamiliarity 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