BI Engineer

OPENLANE

73d

About The Position

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.

Requirements

• 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 Haves

• 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

Responsibilities

• 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

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees