Marketplace Analytics Lead

About the role

We are seeking a Marketplace Analytics Lead to join our team at OPENLANE. The ideal candidate will drive marketplace efficiency and strategic growth in our OEM Private Label business.

Responsibilities

• Identify business opportunities and conduct research on market dynamics to develop data-driven strategies for improving marketplace performance.
• Act as a strategic partner to stakeholders, leveraging data to implement changes that directly impact conversion rates and business growth.
• Bridge the gap between complex data sets and actionable business logic, ensuring that every insight leads to measurable, long-term results.
• Drive strategic growth and market impact by assuming personal accountability for key North Star metrics, including conversion rates, buyer engagement, and retention.
• Conduct thorough research on supply/demand dynamics and industry trends to develop frameworks for solving inventory pricing and perception gaps and identifying 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.
• Own the data foundation and engineering aspects of the role, including designing, building, and maintaining 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 Degree preferred
• 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)
• Strong communication skills with the ability to influence stakeholders and drive consensus through data

Qualifications

• Must have a Bachelor’s degree in a quantitative field
• Experience in a two-sided marketplace (e-commerce, or auctions) is preferred
• Advanced Degree is preferred
• Expert-level proficiency in SQL
• Experience in data pipeline development, including ETL/ELT
• Proficiency in Python or R
• Strong grasp of statistical rigor, including A/B testing and causal inference
• A "business-first" approach to data
• Strong communication skills

Skills

• Advanced SQL
• Data Modeling/ETL
• Data Visualization & Storytelling
• Programming (Python/R)
• Experimentation (A/B testing, causal inference)
• Business Mindset (ROI, Effort vs Impact)
• Communication Skills

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)
• Roads Employee Assistance Program
• 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