Lead Technical Web Analyst

Cars Commerce•Chicago, IL

1d•$104,100 - $130,150•Remote

About The Position

Join the Enterprise Analytics Team at Cars Commerce and help shape the future of Automotive Commerce. The Analytics Team is dedicated to accelerating innovation by developing and enhancing website analytics infrastructure, digital measurement capabilities, and data strategies. These efforts empower internal teams and customers to make more informed, quicker, and confident decisions. The Analytics function serves as the intelligence layer for the entire organization, managing critical data collection systems, web analytics implementations, and measurement frameworks that provide insights across multiple Cars Commerce platforms. This role enables product and business teams with innovative data solutions and self-service capabilities for tracking, analyzing, and acting on key metrics. This is a significant opportunity to make a direct impact by collaborating with cross-functional leaders to translate ambitious data goals into reliable, scalable analytics solutions. You will champion best practices in data collection, observability, tracking integrity, and reporting for thousands of websites. As you grow, you will have the chance to deepen your technical expertise, lead larger analytics initiatives, and contribute substantially to the overall data and analytics strategy. Join us to build the core website analytics capabilities that are transforming how internal teams and customers measure, learn, and innovate at scale.

Requirements

Bachelor’s degree in Computer Science, Data Analytics, Engineering, or a related quantitative field (Master's preferred or equivalent extensive experience).
8+ years of progressive experience in digital analytics, technical analysis, or data tracking implementation, with a significant focus on strategic and leadership roles.
Demonstrated expertise in enterprise-level analytics platforms such as Google Analytics (GA4), Amplitude, Adobe Analytics, and similar.
Exceptional proficiency in Google Tag Manager (GTM) or comparable tag management systems, advanced JavaScript, data layer architectures, and complex event-driven data collection.
Profound understanding of web technologies including HTML, CSS, advanced JavaScript concepts, DOM manipulation, and sophisticated browser/network debugging techniques.
Strong understanding of data lake architecture and ingestion pipelines, and experience collaborating with data engineers to ensure data is architected in a way that's scalable and built to deliver real business impact.
Superior problem-solving and analytical skills, with a proven ability to diagnose and resolve highly intricate tracking issues and data discrepancies.
Proven track record of successfully leading multiple complex, cross-functional projects from conception to completion, balancing aggressive technical requirements with critical business needs.
Comprehensive knowledge of global data privacy regulations (GDPR, CCPA, LGPD) and extensive experience in architecting and implementing highly compliant tracking solutions.
Exceptional communication and presentation skills, with the ability to articulate highly complex technical concepts and strategic recommendations clearly and persuasively to diverse audiences, including executive leadership.
Demonstrated experience in formally mentoring, coaching, and leading technical teams, organizing work, and managing resource allocation.

Nice To Haves

Possess an extraordinary attention to detail and an innate ability to identify subtle discrepancies and systemic issues in data and tracking.
Operate with significant autonomy, self-direction, and a high degree of accountability, while also thriving in a collaborative, matrixed team environment.
Proactive, innovative, and deeply committed to continuous improvement, consistently seeking out and implementing superior solutions.
Passionate about leveraging data to drive strategic business decisions and foster a data-driven culture.
Highly adaptable and effective in navigating and leading within an agile, fast-paced, and evolving technological landscape, managing multiple top-tier priorities simultaneously.

Responsibilities

Drive the strategy, architecture, and implementation of high accuracy analytics, directly aligned with enterprise strategic objectives.
Act as the primary subject matter expert and internal consultant for all technical analytics matters, providing authoritative guidance on data layer design, tag management strategies, and advanced tracking methodologies.
Continuously monitor industry trends, emerging technologies, and business conditions to identify opportunities for significant improvements in data collection, processing, and utilization. Recommend and implement cutting-edge solutions that provide a competitive advantage.
Organize work priorities for functional teams, delegate tasks effectively, and track progress to ensure successful project delivery. Mentor and educate technical analysts, fostering a culture of continuous learning and technical excellence.
Architect and design enterprise-level analytics solutions, including sophisticated server-side tracking, advanced cross-platform integrations, and machine learning-driven data enhancements.
Oversee comprehensive audits of the entire analytics ecosystem, proactively identifying systemic gaps, inconsistencies, and opportunities for significant optimization across all data sources.
Champion the evaluation and adoption of new technologies, automation tools, and scripting solutions to revolutionize tracking validation, data quality, and reporting processes.
Forge deep strategic partnerships with engineering, product, marketing, and executive leadership to define ambitious tracking requirements, troubleshoot complex interdependencies, and ensure seamless integration of analytics across all business functions.
Serve as a recognized thought leader in digital analytics, actively contributing to industry discussions, presenting findings, and widely sharing expertise through documentation, training, and internal forums.
Contribute to or provide input on technology stack decisions and vendor evaluations for analytics tools and infrastructure.