Senior Data & Analytics Specialist

About demandDrive: demandDrive is an industry-leading integrated sales and marketing agency with over 400 employees, headquartered in the Greater Boston Area. demandDrive provides B2B clients with a comprehensive suite of solutions, including world-class digital marketing services combined with sales execution. While most companies execute sales and marketing functions in isolation, demandDrive combines industry-leading services in both areas, driving greater productivity and increasing our clients' revenue growth. demandDrive believes in strong leaders and a positive work culture. We are extremely passionate about helping our clients achieve and exceed their sales and marketing goals and being the best in the industry. The Company is private-equity sponsored and will execute an M&A strategy.

Position Overview - Senior Data & Analytics Specialist:
We’re looking for a Senior Data & Analytics Specialist who lives at the intersection of data, tracking architecture, and client communication. This role goes far beyond reporting — it’s about designing, implementing, and maintaining scalable measurement systems that turn complex user behavior into reliable, privacy-aware insights.
You’ll own the full lifecycle of tracking: from data layer design and tag manager architecture, to cross-platform conversion tracking, server-side implementations, and stakeholder education. You’ll work closely with marketing, product, engineering, and legal/privacy teams — as well as directly with clients — to ensure data is accurate, compliant, and actionable across the entire marketing and analytics stack.

Job Duties & Responsibilities:

Tracking Architecture & Measurement Strategy

• Design and implement robust data layer architectures to support scalable, future-proof tracking across websites and applications.
• Build and maintain event-based tracking frameworks aligned with business goals (ecommerce, lead generation, product usage, subscriptions, etc.).
• Implement and maintain enhanced ecommerce tracking (product views, add-to-cart, checkout steps, purchases, refunds) using GA4 best practices.
• Architect clean, efficient Google Tag Manager (GTM) setups, prioritizing:
  
  • Minimal tag sprawl
  • Reusable variables and triggers
  • Maintainable naming conventions
  • Performance-first implementations
    
• Confidently jump into messy, unfamiliar GTM containers and quickly troubleshoot tracking bugs without prior context, including diagnosing tag firing logic, variable issues, and data layer inconsistencies.
• Troubleshoot complex tracking issues across browsers, devices, and platforms using GTM Preview, GA Debugger, browser dev tools, and network requests.

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