Director, Digital Analytics/Tag Management- Advertising! – up to 160K

Summary

Join a team of inventive, cutting-edge advertising professionals as their Director of Digital Analytics/Tag Management. Our client needs a seasoned IT Professional with superb technical skills in the areas of digital analytics and tag management systems who can also lead a team and interface successfully with clients. This could be your opportunity to work with talented, offbeat colleagues in a firm that offers off-the-chart perks and benefits. While some work can be performed remotely, this position is based in Boston. However, the firm will accommodate relocation expenses.

Responsibilities of the Director, Digital Analytics/Tag Management

· Direct and manage the implementation of marketing data tags
· Collaborate with internal teams and clients to understand data collection goals and secure accurate and continuous data capture and KPI measurement
· Work with web developers to review and test analytics all tool tagging
· Generate reports that provide recommendations to improve funnel conversion
· Troubleshoot issues or unexpected results identified in reporting
· Continually study best practices and the latest in web analytics, SEO, SEM, digital content, and tag management
· Excellent ability to articulate data and strategic analysis of data to involved parties

Responsibilities of the Director, Digital Analytics/Tag Management

· Minimum 6 – 10 years of experience in digital marketing – with hands-on experience with Google Tag Manager, Tealium, or Ensighten.
· Expert in site analytics and multi-channel campaign tracking
· Outstanding tag management skills
· 4+ years’ work with web analytics platforms such as Google Analytics and Adobe Marketing Cloud
· Familiarity with Javascript preferred

Compensation of the Director, Digital Analytics/Tag Management

· Annual salary up to $160000

Reference code: K14043A

Please note that quoted salary ranges are not guarantees of what the final salary offers might be. Our clients base their offers on a range of variables including years of work and industry specific experience, salary history, education level, etc.

-->