BI Engineer

OPENLANE•Carmel, IN

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. 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.

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 or Superset 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