Who We Are: At OPENLANE we make wholesale easy so our customers can be more successful. We’re a technology company building the world’s most advanced—and uncomplicated—digital marketplace for used vehicles. We’re a data company helping customers buy and sell smarter with clear, actionable insights they can understand and use. And we’re an innovation company accelerating the future of wholesale remarketing through curiosity, collaboration, and an entrepreneurial spirit. Our Values: Driven Waybuilders. We pursue challenges that inspire us to build, create, and innovate. Relentless Curiosity. We seek to understand and improve our customers’ experience. Smart Risk-Taking. We transform risk into progress through data, experience, and intuition. Fearless Ownership. We deliver what we promise and learn along the way. We’re Looking For: 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. You Are: - Proactive. You take full ownership of your domain and drive action independently. - Insightful. You generate meaningful, data-driven insights that fuel decision-making. - Collaborative. You work closely with cross-functional stakeholders to solve complex problems and improve processes. - Technical. You have a strong command of data engineering, visualization, and analytical tools. You Will: - 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 Who You Will Work With: This role reports into Director of Performance Optimization Analytics of the and collaborates cross-functionally with Product, Sales, Operations, and Data Engineering teams. You will also work closely with senior leadership to support key strategic initiatives. Must Have’s: - 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 Have’s: - 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 What We Offer: - 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 Sound like a match? Apply Now - We can't wait to hear from you!

• Analyze performance data to drive the marketing strategy while making recommendations and optimizations • Identify trends while preparing analytical and graphical reports for Executive Management’s review • Provide ongoing reports by generating and providing analysis • Interpret data and analyze results using statistical techniques • Develop and implement data analytics and other strategies that optimize efficiency and quality • Acquire data from primary or secondary data sources • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and "clean" data by reviewing reports and performance indicators to locate and correct problems • Locate and define new process improvement opportunities • Communicate analysis and findings clearly to senior leaders and non-technical audiences • Make recommendations for new data visualizations to measure business & programs • Identify key performance indicators (KPIs) with clear objectives and consistently monitor productivity • Engage team on how to utilize data visualization metrics, knowledge, and how efforts can be leveraged for decision-making • Perform other relevant tasks as required

• KPI Development, Reporting, & Dashboard Ownership • Build and own the full lifecycle of KPIs for the Member Financial Services department, including data sourcing, modeling, and reporting. • Develop dashboards, automated reports, and data products that provide clear visibility into performance, member behavior, service efficiency, and portfolio trends. • Ensure KPI relevance and alignment to organizational and department goals by continuously refining metrics as business needs evolve. • Design visualizations tailored to both technical and non‑technical audiences, enabling leadership and front-line teams to use data confidently in daily decision‑making. • Data Analysis & Strategic Insights • Conduct deep-dive analyses on member interactions, product utilization, operational patterns, and financial performance to monitor performance and identify trends, opportunities, and risks. • Perform exploratory and statistical analysis using large, complex datasets to uncover actionable insights. • Provide strategic recommendations that influence business planning, operational improvements, and member experience enhancements. • Evaluate market and competitive trends related to member services, payments, and financial products to support strategic initiatives. • Operational, Sales, & Member Experience Support • Monitor service-level performance, volume trends, sales activity, and quality metrics across key member-facing functions and channels. • Build reporting and insights that support growth in member relationships, including tracking of cross‑sell effectiveness, product adoption, and member engagement. • Analyze patterns in product utilization, sales conversion, wallet share, and relationship deepening to identify opportunities to optimize member value and frontline performance. • Develop dashboards that highlight sales pipeline metrics, referral activity, member onboarding success, and opportunities for improving product penetration. • Partner with frontline leadership to establish KPIs and scorecards that measure sales productivity, consultative behaviors, and relationship growth initiatives. • Support operational excellence through reporting on SLA performance, workload forecasting, staffing needs, and key service indicators across MFS teams. • Collaboration, Leadership, & Stakeholder Enablement • Collaborate with cross-functional partners (Operations, Finance, Lending, Payments, IT, Digital Experience, and Marketing) to unify data sources supporting both service and sales‑related insights. • Serve as subject matter expert on MFS data related to member behavior, sales trends, product adoption, payments, and operational performance. • Educate stakeholders on KPI methodology, analytics best practices, and data-driven decision-making. • Represent Member Financial Services on strategic projects and cross-functional initiatives, providing analytics support and ensuring timely information delivery. • Present findings and strategic insights to MFS leadership and executive stakeholders in clear, compelling formats. • Automation, Process Improvement, & Data Governance • Identify opportunities to automate and streamline reporting, workflows, and data preparation processes. • Ensure data integrity, accuracy, and consistency through strong validation and documentation practices. • Proactively improve processes, reporting frameworks, and data flows to enhance efficiency and quality. • Support compliance with all federal regulations as they relate to reporting, data privacy, and BSA obligations.

• Partnering with business stakeholders and subject matter experts to gather, document, and validate requirements, and translate them into technical data specifications, KPIs, and user outcomes. • Architect end-to-end solution covering data sourcing, scalable data models, metric definitions, and dashboard layouts that are scalable, accurate, user-friendly, and visualize trends effectively. • Build reports, dashboards, and analytical datasets; write optimized SQL and leverage company approved BI tools to deliver market-facing and internal analytics capabilities. • Conduct rigorous data validation and user acceptance testing (UAT); verify metric logic, source-to-target accuracy, and dashboard functionality before release. • Manage the deployment of new reports and dashboards through defined release processes; communicate with stakeholders to ensure access control, user training, and timely delivery. • Monitor and sustain the health of existing reporting assets; troubleshoot data and dashboard issues, identify root causes, and implement technology or process fixes to ensure ongoing reliability. • Continuously evaluate existing analytics capabilities for improvement opportunities; incorporate stakeholder feedback, evolving business needs, and new data sources to expand analytical value. • Provide training and support to end users on utilizing and interpreting reports and analytics. Write user-friendly documentation to help self-serve. • Deliver urgent business needs through rapid ad-hoc queries, report creation, and data analysis. • Perform continual analysis of current performance, utilizing historical trends, and conduct frequent re-forecasting to make necessary adjustments in staffing plans to achieve service level goals and business objectives. • Support internal teams by using data and root cause analysis to recommend process changes that improve SLAs and operational efficiency. Reduce manual effort by automating needs for insights through BI tools, scripting, and improved data pipelines. • Contribute to assigned special projects and transformation initiatives.