Emerson - Digital Analytics Manager - Adobe Campaign

Job Description

In this Role, Your Responsibilities Will Be :

• Design and develop digital analytics data collection requirements, analyze data for data quality issues, conduct cross-partner QA both preand post-launch, ensuring accurate data flows into Adobe Analytics and Adobe Target.
• Build a robust data architecture that maps business requirements to specific variables (eVars, props, and events).
• Conduct collaborator interviews to identify data and analytics needs for the organization.
• Manage analytics technology roadmap detailing planned updates and improvements, ensuring it is aligned with business needs and enterprise projects.
• Work with the business and other key collaborators in understanding the requirements and translation to the technology components being developed.
• Gather and document business requirements.
• Act as liaison between the Business and IT.
• Manage analytics technology requests ensuring work is completed within a reasonable timeframe and to a high degree of quality.
• Expert knowledge of Adobe Analytics, and Adobe Target products; good understanding of how to create reports, implement data collection through Adobe Tags, and to test and debug tags manually and / or by using debugging tools such as Observe point or Omnibus.
• Conduct forensic analysis, including data accuracy reviews and collaboration with multi-functional teams, to quickly identify and resolve data-quality issues.
• Stay ahead of with issues and trends in online marketing, with an emphasis on analytics especially for privacy compliance and mobile as well as emerging technologies.
• Comfortably interact with various levels of management and lead multi-functional, cross-regional teams.
• Effectively work with business leaders in Marketing, Digital Business, and Analytics to work towards results.
• Provide oversight, coaching, and mentoring for an internal implementation team and 3rd party vendor partners.
• Work with minimal oversight; results and relationships are monitored through periodic reviews.
• Perform quality review checks on project results and drives day-to-day prioritization of work.
• Recommend data governance models, ensuring data quality, consistency, and compliance.

Who You Are :

For This Role, You Will Need :

Preferred Qualifications that Set You Apart :

(ref : hirist.tech)