BI Engineer

OPENLANE is a technology company making wholesale easy in the used vehicle marketplace. They are seeking a Business Intelligence Engineer to drive efficiency and strategic growth in their OEM Private Label business by identifying opportunities, conducting market research, and developing data-driven strategies to improve performance.

Responsibilities:

• Improve OEM Private Label performance by identifying levers to increase conversion rates and buyer liquidity
• Analyze marketing effectiveness and pricing dynamics to drive revenue yield and sustainable growth
• Transform raw data into strategic recommendations and secure stakeholder buy-in to implement operational changes
• Assume personal accountability for key North Star metrics, including conversion rates, buyer engagement, and retention, using data to drive measurable improvements
• Conduct thorough research on supply/demand dynamics and industry trends
• Develop frameworks to solve for inventory pricing and perception gaps to identify emerging growth opportunities
• Model expected outcomes for growth initiatives and set measurable benchmarks for success
• Design rigorous experiments to validate hypotheses, providing teams with the confidence to pivot or double-down
• Collaborate independently with Product, Engineering, Marketing, and Program managers to align data infrastructure and BI tools with strategic business goals
• Design and maintain automated dashboards and deep-dive analyses that translate complex marketplace trends into clear, actionable stories for leadership and sales teams
• Identify operational inefficiencies and revenue leakage, recommending data-backed solutions to optimize marketing spend and operational costs
• Design, build, and maintain scalable ETL/ELT pipelines that transform raw marketplace logs into performant, 'source of truth' data models
• Develop robust data models and ensure data integrity, fostering a culture of high-quality, sustainable reporting and experimentation

Requirements:

• Bachelor's degree in a quantitative field (Data Science, Statistics, Computer Science, Economics, Finance, or a related field)
• 3-5+ years of experience in BI, data engineering, or related Analytics field, ideally within a two-sided marketplace (e-commerce, or auctions)
• Advanced SQL: Expert-level proficiency in SQL with a demonstrated ability to synthesize and integrate disparate, large-scale datasets
• Data Modeling/ETL: Experience in data pipeline development, including extracting, transforming, and loading (ETL/ELT) data between cloud-based data warehouses (e.g. Snowflake) and BI platforms
• Data Visualization & Storytelling: Expertise in translating complex data into intuitive, high-impact visualizations (e.g., DOMO, Tableau, Power BI)
• Programming: Proficiency in Python (or R) for statistical modeling, automation, and data manipulation
• Experimentation: Strong grasp of statistical rigor, including A/B testing and causal inference to prove how specific levers directly cause changes in business metrics
• A 'business-first' approach to data; ability to think like an owner and prioritize projects based on potential ROI (Effort vs Impact)
• Proven track record of working independently to solve ambiguous problems and delivering results with minimal supervision
• Strong communication skills with the ability to influence stakeholders and drive consensus through data
• Advanced Degree is preferred
• Working experience in dbt (data build tool) or similar modular SQL frameworks is preferred