Analytics Engineer

Hybrid role - 1x week onsite NYC

Minimum Qualifications:

• 3 to 6 years working with a tag management platform (like Adobe DTM, Adobe Launch, Tealium, Tag Man, Google Tag Manager, Bright Tag, Matamo or Segment), client side, server side or both
• Advanced Javascript proficiency.
• Familiar with REST APIs to ingest real time or batch data
• Deep understanding of Cookies and Marketing Pixels
• Prover experience managing large client side digital analytics implementations
• Experience with Aigle methodologies and Change Management, version control and repos.
• Proven experience working well with other front end engineers
• General understanding of web technologies end to end.
• Ability to switch between multiple projects quickly and smoothly

Job Description:

Data Collection

• Support design and implement solutions and integrations for data collection to keep the implementation process smooth and efficient for all stakeholders that need data.
• Refine and maintain data collection processes for engineers, analysts, product owners and marketing managers.
• Support socialization efforts to provide best practices around surrounding technologies and capabilities
• Partner closely with Associate Director, Marketing Data Architecture & Strategy to implement data technologies across the platforms we build for our patients, workforce and research stakeholders.
• Partner with data analysts on product and marketing data initiatives, owning the day-to-day data collection operations.
• Implement requirements created by your peer analysts in product or marketing
• Own specification, solution and integration documents
• Partner with Quality Analyst to ensure all data collected is with a high degree of accuracy.
• Engage with various front end and back-end engineers in the IT organization and extended business unit partners.

Collaboration and Influence and Operational Excellence:

• Support the Data Architect Lead and the Program Measurement and Strategy Lead in defining the analytics vision
• Collaborate across teams in Brand Experience, Design & Creative COE, Enterprise Communications COE, Media Relations COE, Enterprise Comms COE, and Content Strategy & Development COE to understand their data storage and analysis needs