Senior Marketing Analytics Lead

Responsibilities

• Analyze the end-to-end journey from marketing response through lead qualification, sales handoff, pipeline, and revenue to identify conversion opportunities and process gaps.
• Evaluate response quality, lead progression, disposition, aging, and conversion across campaigns, channels, markets, and audiences.
• Identify where responses or leads are being lost, delayed, misrouted, duplicated, or inconsistently managed, and recommend improvements.
• Partner cross-departmentally with collaborators and stakeholders to improve lead management processes, measurement, and visibility.
• Support the evolution of response and lead management reporting, KPIs, business definitions, and analytical frameworks, including appropriate uses of AI to detect patterns, prioritize investigation, and improve decision support.
• Analyze performance across web, paid media, email, organic search, events, and other marketing channels to understand engagement, conversion, and contribution to business outcomes.
• Articulate customer journeys and cross-channel engagement to understand how marketing touchpoints work together to drive response, progression, and conversion.
• Identify opportunities to improve channel effectiveness, targeting, content, audience strategy, and marketing investment.
• Partner with channel owners to define measurement approaches and translate findings into practical optimization recommendations, using AI-assisted analysis where it can improve speed, depth, or scalability without compromising analytical rigor.
• Lead analytical projects focused on improving marketing processes and outcomes, including lead routing, lead prioritization, response handling, funnel progression, campaign targeting, and sales handoff.

Requirements

• Must be legally authorized to work in the United States without requiring current or future sponsorship.
• Bachelor's degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Business, Marketing, or a related field.
• 5+ years of experience in marketing analytics, revenue operations, digital analytics, business analytics, or a related analytical discipline.
• Strong SQL skills with the ability to independently explore, join, validate, and analyze large and complex marketing, CRM, digital, and sales datasets.
• Strong proficiency with Power BI or a comparable business intelligence platform, including developing analytical views and translating complex data into clear insights and recommendations.
• Experience analyzing response and lead management, digital performance, marketing channels, funnel progression, or conversion, with the ability to connect findings to practical optimization actions.
• Experience working with CRM and marketing automation platforms such as Salesforce and Marketo, including response capture, campaign data, lead management, and funnel progression.
• Experience with digital analytics platforms such as Adobe Analytics or Google Analytics and with web behavior, traffic, engagement, conversion, and channel performance data.
• Ability to trace data and business processes across enterprise systems, validate business rules, troubleshoot inconsistencies, and improve areas such as lead routing, response handling, attribution, tagging, and funnel measurement.
• Experience using enterprise-approved AI tools to accelerate data discovery, SQL development, data validation, analysis, documentation, and insight generation while applying sound judgment and independently verifying outputs.

Preferred

• Experience supporting B2B marketing, account-based marketing, or complex enterprise sales environments.
• Experience leading optimization projects involving lead routing, scoring, response handling, targeting, or sales handoff.
• Experience implementing or evaluating AI-assisted analytics, intelligent automation, natural-language data access, or decision-support use cases in an enterprise environment.
• Experience with Python, R, experimentation, statistical analysis, or other advanced analytical methods.