Senior BI Engineer

OPENLANE; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Employer 401K or RRSP with company-mât

Paid Vacation and Sick Time

Life insurance and AD&D

Job summary

OPENLANE is seeking a Senior Business Intelligence Engineer who is proactive, data-driven, and thrives in ambiguity. This role leads initiatives, builds scalable data models, and partners across teams to unlock business growth.

You will own the BI domain, develop dashboards in DOMO, ensure data quality, and mentor teammates to foster a data-driven culture across a public company with global reach.

Qualifications

• 3–5+ years in Data Warehousing and Business Intelligence.
• Experience with Looker or DOMO.
• Advanced SQL skills with relational databases (Snowflake/Redshift/Oracle/SQL Server).
• ETL/ELT development and data pipeline management.
• Scripting languages (Python/JavaScript/Java/Scala).
• Data modeling, governance, and organizing datasets for long-term use.
• Data visualization and dashboarding experience (DOMO preferred).
• Strong spreadsheet skills (Excel/Google Sheets).
• Self-starter with problem-solving and strategic thinking.

Responsibilities

• Own the BI domain, surface insights, and drive data-driven decisions.
• Partner with product, sales, and operations to ensure data quality and availability.
• Transform large datasets via SQL and scripting to generate actionable insights.
• 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 using tools like DOMO.
• Continuously improve data pipelines, infrastructure, and analytics capabilities.
• Mentor colleagues to foster a data-driven culture.

Skills

Data warehousing

Data modeling

ETL/ELT

Problem solving

Strategic thinking

Tools

DOMO

Looker

Snowflake

Redshift

Excel

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 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