BI Engineer

OPENLANE • Carmel, IN

5d

About The Position

We are looking for a Business Intelligence Engineer to drive marketplace efficiency and strategic growth in our OEM Private Label business. You will be responsible for identifying business opportunities, conducting research on market dynamics, and developing data-driven strategies to improve marketplace performance in collaboration with stakeholders. This role focuses on increasing buyer engagement and maximizing revenue yield through rigorous analysis and sustainable, insight-driven improvements. As an independent and accountable individual contributor, you will act as a strategic partner to stakeholders, leveraging data to implement changes that directly impact conversion rates and business growth. You will bridge the gap between complex data sets and actionable business logic, ensuring that every insight leads to measurable, long-term results.

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. Working experience in dbt (data build tool) or similar modular SQL frameworks is preferred.
• 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.
• Business Mindset: 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.

Nice To Haves

• Advanced Degree is preferred
• Working experience in dbt (data build tool) or similar modular SQL frameworks is preferred.

Responsibilities

• Marketplace Optimization: Improve OEM Private Label performance by identifying levers to increase conversion rates and buyer liquidity.
• Growth & Yield: Analyze marketing effectiveness and pricing dynamics to drive revenue yield and sustainable growth.
• Insight-Driven Execution: Transform raw data into strategic recommendations and secure stakeholder buy-in to implement operational changes.
• Own Strategic Growth & Market Impact Drive Business Results: Assume personal accountability for key North Star metrics, including conversion rates, buyer engagement, and retention, using data to drive measurable improvements.
• Marketplace & Pricing Strategy: Conduct thorough research on supply/demand dynamics and industry trends. Specifically, develop frameworks to solve for inventory pricing and perception gaps to identify emerging growth opportunities.
• Forecasting & Experimentation: 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.
• Cross-Functional Partnership: Collaborate independently with Product, Engineering, Marketing, and Program managers to align data infrastructure and BI tools with strategic business goals.
• Actionable Reporting & Storytelling: Design and maintain automated dashboards and deep-dive analyses that translate complex marketplace trends into clear, actionable stories for leadership and sales teams.
• Process Improvement: Identify operational inefficiencies and revenue leakage (e.g., "no-sales" due to pricing friction), recommending data-backed solutions to optimize marketing spend and operational costs.
• Data Pipeline Ownership: Design, build, and maintain scalable ETL/ELT pipelines that transform raw marketplace logs into performant, "source of truth" data models.
• Data Governance & Sustainability: Develop robust data models and ensure data integrity, fostering a culture of high-quality, sustainable reporting and experimentation.

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